[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-ee26049bdfb250be-building-ai-powered-transcription-pipelines-with-g-summary":3,"summaries-facets-categories":134,"summary-related-ee26049bdfb250be-building-ai-powered-transcription-pipelines-with-g-summary":7840},{"id":4,"title":5,"ai":6,"body":13,"categories":93,"created_at":95,"date_modified":95,"description":87,"extension":96,"faq":95,"featured":97,"kicker_label":95,"meta":98,"navigation":113,"path":114,"published_at":115,"question":95,"scraped_at":116,"seo":117,"sitemap":118,"source_id":119,"source_name":120,"source_type":121,"source_url":122,"stem":123,"tags":124,"thumbnail_url":129,"tldr":130,"tweet":131,"unknown_tags":132,"__hash__":133},"summaries\u002Fsummaries\u002Fee26049bdfb250be-building-ai-powered-transcription-pipelines-with-g-summary.md","Building AI-Powered Transcription Pipelines with Gemini 3.5",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",5173,629,3246,0.00223675,{"type":14,"value":15,"toc":86},"minimark",[16,21,25,42,45,49,56,60,63,83],[17,18,20],"h2",{"id":19},"transcription-architecture-batch-vs-live","Transcription Architecture: Batch vs. Live",[22,23,24],"p",{},"Gemini 3.5 Transcribe offers two distinct operational modes, allowing developers to choose the right tool based on the audio source:",[26,27,28,36],"ul",{},[29,30,31,35],"li",{},[32,33,34],"strong",{},"Batch Processing:"," Designed for existing audio files stored in cloud environments (e.g., Google Cloud Storage). This is ideal for analyzing large archives of customer calls, meetings, or interviews.",[29,37,38,41],{},[32,39,40],{},"Live Transcription:"," Optimized for real-time streaming, enabling use cases like live captioning or hands-free dictation where low-latency text output is required.",[22,43,44],{},"Both modes provide built-in features such as automatic language detection, speaker diarization (identifying individual speakers), and word-level timestamps, reducing the need to stitch together multiple disparate services.",[17,46,48],{"id":47},"enhancing-accuracy-with-custom-vocabulary","Enhancing Accuracy with Custom Vocabulary",[22,50,51,52,55],{},"Generic speech-to-text models often struggle with domain-specific terminology, such as medical, legal, or financial jargon. Gemini 3.5 Transcribe addresses this through ",[32,53,54],{},"custom vocabulary biasing",". By providing a list of industry-specific terms (e.g., \"Nissen fundoplication\" or \"pyrosis\"), developers can significantly improve transcription accuracy in specialized environments. This feature is particularly effective for high-stakes scenarios where precision is required for documentation or compliance.",[17,57,59],{"id":58},"from-transcription-to-actionable-intelligence","From Transcription to Actionable Intelligence",[22,61,62],{},"Transcription is treated as the foundational step in a larger data pipeline. Once raw audio is converted into structured text, it can be passed to other Gemini models (such as Gemini 1.5 Flash) to perform higher-level reasoning. Common post-transcription workflows include:",[26,64,65,71,77],{},[29,66,67,70],{},[32,68,69],{},"Sentiment Analysis:"," Automatically scoring customer frustration levels during support calls.",[29,72,73,76],{},[32,74,75],{},"Summarization:"," Extracting key takeaways and resolution status from long-form audio.",[29,78,79,82],{},[32,80,81],{},"Dashboarding:"," Aggregating insights across thousands of calls to track customer experience trends at scale.",[22,84,85],{},"By chaining these models, developers can move from raw audio input to structured, intelligent data outputs without needing to train custom models or manage complex infrastructure.",{"title":87,"searchDepth":88,"depth":88,"links":89},"",2,[90,91,92],{"id":19,"depth":88,"text":20},{"id":47,"depth":88,"text":48},{"id":58,"depth":88,"text":59},[94],"AI Automation",null,"md",false,{"content_references":99,"triage":108},[100,105],{"type":101,"title":102,"url":103,"context":104},"tool","Gemini 3.5 Transcribe","https:\u002F\u002Fg.dev\u002Fcloud\u002Fgemini-3-5-transcribe","recommended",{"type":101,"title":106,"context":107},"Gemini 1.5 Flash","mentioned",{"relevance":109,"novelty":110,"quality":110,"actionability":109,"composite":111,"reasoning":112},5,4,4.55,"Category: AI Automation. The article provides a detailed overview of building transcription pipelines using Gemini 3.5, addressing practical applications for developers, such as batch and live processing modes. It offers actionable insights on enhancing transcription accuracy with custom vocabulary and integrating transcription into broader data workflows, making it highly relevant for the target audience.",true,"\u002Fsummaries\u002Fee26049bdfb250be-building-ai-powered-transcription-pipelines-with-g-summary","2026-09-24 19:00:30","2026-09-25 03:18:13",{"title":5,"description":87},{"loc":114},"ee26049bdfb250be","Google Cloud Tech","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=r2xhPB-wWIQ","summaries\u002Fee26049bdfb250be-building-ai-powered-transcription-pipelines-with-g-summary",[125,126,127,128],"llm","ai-tools","automation","python","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002Fr2xhPB-wWIQ\u002Fhqdefault.jpg","Gemini 3.5 Transcribe enables developers to build high-accuracy, domain-specific transcription pipelines for both live and batch audio without requiring model training.","This is a functional overview of [Gemini 3.5 Transcribe](https:\u002F\u002Fg.dev\u002Fcloud\u002Fgemini-3-5-transcribe), demonstrating how to use its batch and live APIs for domain-specific transcription. The video highlights using custom vocabulary for medical dictation and chaining the output into other Gemini models for sentiment analysis, with [documentation](https:\u002F\u002Fg.dev\u002Fcloud\u002F3-5-transcribe-docs) and a [code tutorial](https:\u002F\u002Fg.dev\u002Fcloud\u002Fgemini-3-5-transcribe-github) provided for implementation.",[],"a2hxYG31qz5MpgrSYSJFi0kOjCPXcWleMSDZDV6Qq7A",[135,138,141,143,146,148,150,153,155,157,159,161,164,167,169,171,173,175,178,180,182,184,186,189,191,193,195,197,199,201,203,205,207,209,211,213,215,217,219,221,223,225,227,229,231,233,235,237,239,241,244,246,248,250,252,254,256,258,260,262,264,266,268,270,272,274,276,279,281,283,285,287,289,291,293,295,297,299,301,303,305,307,309,311,313,315,317,319,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,359,361,363,365,367,369,371,373,375,377,379,381,383,385,387,389,391,393,395,397,399,401,403,405,407,409,411,413,415,417,419,421,423,425,427,429,432,434,436,438,440,442,444,446,448,450,452,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,488,490,492,494,496,498,500,502,504,506,508,510,512,514,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,586,588,590,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,634,636,638,640,642,644,646,648,650,652,654,656,658,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,978,980,982,984,986,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4925,4927,4929,4931,4933,4935,4937,4939,4941,4943,4945,4947,4949,4951,4953,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,4999,5001,5003,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5029,5031,5033,5035,5037,5039,5041,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6085,6087,6089,6091,6093,6095,6097,6099,6101,6103,6105,6107,6109,6111,6113,6115,6117,6119,6121,6123,6125,6127,6129,6131,6133,6135,6137,6139,6141,6143,6145,6147,6149,6151,6153,6155,6157,6159,6161,6163,6165,6167,6169,6171,6173,6175,6177,6179,6181,6183,6185,6187,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215,6217,6219,6221,6223,6225,6227,6229,6231,6233,6235,6237,6239,6241,6243,6245,6247,6249,6251,6253,6255,6257,6259,6261,6263,6265,6267,6269,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568,6570,6572,6574,6576,6578,6580,6582,6584,6586,6588,6590,6592,6594,6596,6598,6600,6602,6604,6606,6608,6610,6612,6614,6616,6618,6620,6622,6624,6626,6628,6630,6632,6634,6636,6638,6640,6642,6644,6646,6648,6650,6652,6654,6656,6658,6660,6662,6664,6666,6668,6670,6672,6674,6676,6678,6680,6682,6684,6686,6688,6690,6692,6694,6696,6698,6700,6702,6704,6706,6708,6710,6712,6714,6716,6718,6720,6722,6724,6726,6728,6730,6732,6734,6736,6738,6740,6742,6744,6746,6748,6750,6752,6754,6756,6758,6760,6762,6764,6766,6768,6770,6772,6774,6776,6778,6780,6782,6784,6786,6788,6790,6792,6794,6796,6798,6800,6802,6804,6806,6808,6810,6812,6814,6816,6818,6820,6822,6824,6826,6828,6830,6832,6834,6836,6838,6840,6842,6844,6846,6848,6850,6852,6854,6856,6858,6860,6862,6864,6866,6868,6870,6872,6874,6876,6878,6880,6882,6884,6886,6888,6890,6892,6894,6896,6898,6900,6902,6904,6906,6908,6910,6912,6914,6916,6918,6920,6922,6924,6926,6928,6930,6932,6934,6936,6938,6940,6942,6944,6946,6948,6950,6952,6954,6956,6958,6960,6962,6964,6966,6968,6970,6972,6974,6976,6978,6980,6982,6984,6986,6988,6990,6992,6994,6996,6998,7000,7002,7004,7006,7008,7010,7012,7014,7016,7018,7020,7022,7024,7026,7028,7030,7032,7034,7036,7038,7040,7042,7044,7046,7048,7050,7052,7054,7056,7058,7060,7062,7064,7066,7068,7070,7072,7074,7076,7078,7080,7082,7084,7086,7088,7090,7092,7094,7096,7098,7100,7102,7104,7106,7108,7110,7112,7114,7116,7118,7120,7122,7124,7126,7128,7130,7132,7134,7136,7138,7140,7142,7144,7146,7148,7150,7152,7154,7156,7158,7160,7162,7164,7166,7168,7170,7172,7174,7176,7178,7180,7182,7184,7186,7188,7190,7192,7194,7196,7198,7200,7202,7204,7206,7208,7210,7212,7214,7216,7218,7220,7222,7224,7226,7228,7230,7232,7234,7236,7238,7240,7242,7244,7246,7248,7250,7252,7254,7256,7258,7260,7262,7264,7266,7268,7270,7272,7274,7276,7278,7280,7282,7284,7286,7288,7290,7292,7294,7296,7298,7300,7302,7304,7306,7308,7310,7312,7314,7316,7318,7320,7322,7324,7326,7328,7330,7332,7334,7336,7338,7340,7342,7344,7346,7348,7350,7352,7354,7356,7358,7360,7362,7364,7366,7368,7370,7372,7374,7376,7378,7380,7382,7384,7386,7388,7390,7392,7394,7396,7398,7400,7402,7404,7406,7408,7410,7412,7414,7416,7418,7420,7422,7424,7426,7428,7430,7432,7434,7436,7438,7440,7442,7444,7446,7448,7450,7452,7454,7456,7458,7460,7462,7464,7466,7468,7470,7472,7474,7476,7478,7480,7482,7484,7486,7488,7490,7492,7494,7496,7498,7500,7502,7504,7506,7508,7510,7512,7514,7516,7518,7520,7522,7524,7526,7528,7530,7532,7534,7536,7538,7540,7542,7544,7546,7548,7550,7552,7554,7556,7558,7560,7562,7564,7566,7568,7570,7572,7574,7576,7578,7580,7582,7584,7586,7588,7590,7592,7594,7596,7598,7600,7602,7604,7606,7608,7610,7612,7614,7616,7618,7620,7622,7624,7626,7628,7630,7632,7634,7636,7638,7640,7642,7644,7646,7648,7650,7652,7654,7656,7658,7660,7662,7664,7666,7668,7670,7672,7674,7676,7678,7680,7682,7684,7686,7688,7690,7692,7694,7696,7698,7700,7702,7704,7706,7708,7710,7712,7714,7716,7718,7720,7722,7724,7726,7728,7730,7732,7734,7736,7738,7740,7742,7744,7746,7748,7750,7752,7754,7756,7758,7760,7762,7764,7766,7768,7770,7772,7774,7776,7778,7780,7782,7784,7786,7788,7790,7792,7794,7796,7798,7800,7802,7804,7806,7808,7810,7812,7814,7816,7818,7820,7822,7824,7826,7828,7830,7832,7834,7836,7838],{"categories":136},[137],"AI & LLMs",{"categories":139},[140],"Developer Productivity",{"categories":142},[137],{"categories":144},[145],"Business & SaaS",{"categories":147},[137],{"categories":149},[94],{"categories":151},[152],"Product Strategy",{"categories":154},[94],{"categories":156},[137],{"categories":158},[140],{"categories":160},[94],{"categories":162},[163],"Software Engineering",{"categories":165},[166],"Data Science & Visualization",{"categories":168},[137],{"categories":170},[145],{"categories":172},[],{"categories":174},[137],{"categories":176},[177],"Inference & Serving",{"categories":179},[137],{"categories":181},[137],{"categories":183},[94],{"categories":185},[],{"categories":187},[188],"AI News & Trends",{"categories":190},[166],{"categories":192},[94],{"categories":194},[137],{"categories":196},[137],{"categories":198},[137],{"categories":200},[145],{"categories":202},[140],{"categories":204},[137],{"categories":206},[94],{"categories":208},[188],{"categories":210},[137],{"categories":212},[94],{"categories":214},[94],{"categories":216},[137],{"categories":218},[137],{"categories":220},[94],{"categories":222},[137],{"categories":224},[137],{"categories":226},[137],{"categories":228},[145],{"categories":230},[94],{"categories":232},[188],{"categories":234},[137],{"categories":236},[137],{"categories":238},[137],{"categories":240},[],{"categories":242},[243],"Design & Frontend",{"categories":245},[137],{"categories":247},[166],{"categories":249},[137],{"categories":251},[188],{"categories":253},[137],{"categories":255},[137],{"categories":257},[137],{"categories":259},[],{"categories":261},[137],{"categories":263},[137],{"categories":265},[94],{"categories":267},[163],{"categories":269},[137],{"categories":271},[137],{"categories":273},[94],{"categories":275},[137],{"categories":277},[278],"Marketing & Growth",{"categories":280},[243],{"categories":282},[137],{"categories":284},[94],{"categories":286},[137],{"categories":288},[137],{"categories":290},[163],{"categories":292},[137],{"categories":294},[],{"categories":296},[],{"categories":298},[243],{"categories":300},[137],{"categories":302},[94],{"categories":304},[140],{"categories":306},[163],{"categories":308},[94],{"categories":310},[243],{"categories":312},[137],{"categories":314},[152],{"categories":316},[137],{"categories":318},[163],{"categories":320},[321],"DevOps & Cloud",{"categories":323},[94],{"categories":325},[152],{"categories":327},[188],{"categories":329},[137],{"categories":331},[],{"categories":333},[137],{"categories":335},[137],{"categories":337},[137],{"categories":339},[],{"categories":341},[94],{"categories":343},[163],{"categories":345},[321],{"categories":347},[],{"categories":349},[163],{"categories":351},[94],{"categories":353},[137],{"categories":355},[243],{"categories":357},[358],"Governance & Standards",{"categories":360},[145],{"categories":362},[],{"categories":364},[137],{"categories":366},[],{"categories":368},[137],{"categories":370},[137],{"categories":372},[94],{"categories":374},[137],{"categories":376},[94],{"categories":378},[137],{"categories":380},[137],{"categories":382},[94],{"categories":384},[137],{"categories":386},[137],{"categories":388},[137],{"categories":390},[],{"categories":392},[163],{"categories":394},[],{"categories":396},[],{"categories":398},[137],{"categories":400},[163],{"categories":402},[],{"categories":404},[163],{"categories":406},[137],{"categories":408},[94],{"categories":410},[137],{"categories":412},[278],{"categories":414},[137],{"categories":416},[137],{"categories":418},[137],{"categories":420},[243],{"categories":422},[243],{"categories":424},[137],{"categories":426},[163],{"categories":428},[94],{"categories":430},[431],"GovTech & Public-Sector Adoption",{"categories":433},[163],{"categories":435},[137],{"categories":437},[137],{"categories":439},[137],{"categories":441},[94],{"categories":443},[94],{"categories":445},[166],{"categories":447},[137],{"categories":449},[188],{"categories":451},[94],{"categories":453},[454],"Legal AI Tools",{"categories":456},[137],{"categories":458},[94],{"categories":460},[137],{"categories":462},[278],{"categories":464},[94],{"categories":466},[152],{"categories":468},[137],{"categories":470},[163],{"categories":472},[431],{"categories":474},[],{"categories":476},[94],{"categories":478},[],{"categories":480},[145],{"categories":482},[94],{"categories":484},[94],{"categories":486},[487],"RAG & Retrieval",{"categories":489},[145],{"categories":491},[137],{"categories":493},[163],{"categories":495},[163],{"categories":497},[321],{"categories":499},[243],{"categories":501},[94],{"categories":503},[137],{"categories":505},[137],{"categories":507},[137],{"categories":509},[137],{"categories":511},[],{"categories":513},[94],{"categories":515},[516],"Agents & Orchestration",{"categories":518},[163],{"categories":520},[137],{"categories":522},[],{"categories":524},[94],{"categories":526},[145],{"categories":528},[],{"categories":530},[137],{"categories":532},[],{"categories":534},[137],{"categories":536},[140],{"categories":538},[163],{"categories":540},[145],{"categories":542},[137],{"categories":544},[137],{"categories":546},[137],{"categories":548},[94],{"categories":550},[137],{"categories":552},[137],{"categories":554},[188],{"categories":556},[137],{"categories":558},[],{"categories":560},[137],{"categories":562},[137],{"categories":564},[],{"categories":566},[137],{"categories":568},[163],{"categories":570},[137],{"categories":572},[94],{"categories":574},[166],{"categories":576},[],{"categories":578},[137],{"categories":580},[137],{"categories":582},[243],{"categories":584},[585],"Models & Frontier Labs",{"categories":587},[],{"categories":589},[243],{"categories":591},[592],"Regulation & Governance of AI",{"categories":594},[152],{"categories":596},[94],{"categories":598},[],{"categories":600},[137],{"categories":602},[137],{"categories":604},[94],{"categories":606},[94],{"categories":608},[188],{"categories":610},[137],{"categories":612},[145],{"categories":614},[137],{"categories":616},[94],{"categories":618},[],{"categories":620},[163],{"categories":622},[94],{"categories":624},[137],{"categories":626},[137],{"categories":628},[152],{"categories":630},[137],{"categories":632},[633],"AI Policy & Regulation",{"categories":635},[],{"categories":637},[137],{"categories":639},[94],{"categories":641},[94],{"categories":643},[152],{"categories":645},[94],{"categories":647},[137],{"categories":649},[137],{"categories":651},[137],{"categories":653},[94],{"categories":655},[],{"categories":657},[166],{"categories":659},[660],"Evals & Reliability",{"categories":662},[137],{"categories":664},[137],{"categories":666},[],{"categories":668},[166],{"categories":670},[140],{"categories":672},[431],{"categories":674},[633],{"categories":676},[137],{"categories":678},[137],{"categories":680},[145],{"categories":682},[137],{"categories":684},[94],{"categories":686},[137],{"categories":688},[94],{"categories":690},[516],{"categories":692},[137],{"categories":694},[163],{"categories":696},[137],{"categories":698},[137],{"categories":700},[],{"categories":702},[243],{"categories":704},[],{"categories":706},[137],{"categories":708},[137],{"categories":710},[431],{"categories":712},[137],{"categories":714},[137],{"categories":716},[137],{"categories":718},[],{"categories":720},[137],{"categories":722},[243],{"categories":724},[137],{"categories":726},[163],{"categories":728},[],{"categories":730},[137],{"categories":732},[137],{"categories":734},[],{"categories":736},[137],{"categories":738},[94],{"categories":740},[137],{"categories":742},[243],{"categories":744},[],{"categories":746},[137],{"categories":748},[137],{"categories":750},[166],{"categories":752},[94],{"categories":754},[137],{"categories":756},[145],{"categories":758},[94],{"categories":760},[137],{"categories":762},[137],{"categories":764},[163],{"categories":766},[243],{"categories":768},[137],{"categories":770},[94],{"categories":772},[],{"categories":774},[163],{"categories":776},[94],{"categories":778},[166],{"categories":780},[],{"categories":782},[137],{"categories":784},[188],{"categories":786},[137],{"categories":788},[],{"categories":790},[137],{"categories":792},[137],{"categories":794},[137],{"categories":796},[145,278],{"categories":798},[],{"categories":800},[163],{"categories":802},[137],{"categories":804},[137],{"categories":806},[94],{"categories":808},[137],{"categories":810},[137],{"categories":812},[],{"categories":814},[],{"categories":816},[137],{"categories":818},[137],{"categories":820},[243],{"categories":822},[137],{"categories":824},[],{"categories":826},[137],{"categories":828},[321],{"categories":830},[],{"categories":832},[94],{"categories":834},[188],{"categories":836},[137],{"categories":838},[145],{"categories":840},[137],{"categories":842},[163],{"categories":844},[243],{"categories":846},[],{"categories":848},[137],{"categories":850},[188],{"categories":852},[137],{"categories":854},[177],{"categories":856},[137],{"categories":858},[137],{"categories":860},[94],{"categories":862},[188],{"categories":864},[585],{"categories":866},[137],{"categories":868},[278],{"categories":870},[],{"categories":872},[94],{"categories":874},[145],{"categories":876},[163],{"categories":878},[137],{"categories":880},[94],{"categories":882},[],{"categories":884},[137,321],{"categories":886},[137],{"categories":888},[137],{"categories":890},[137],{"categories":892},[137],{"categories":894},[94],{"categories":896},[137,163],{"categories":898},[166],{"categories":900},[137],{"categories":902},[137],{"categories":904},[137],{"categories":906},[163],{"categories":908},[137],{"categories":910},[94],{"categories":912},[94],{"categories":914},[633],{"categories":916},[278],{"categories":918},[137],{"categories":920},[94],{"categories":922},[137],{"categories":924},[137],{"categories":926},[94],{"categories":928},[],{"categories":930},[94],{"categories":932},[137],{"categories":934},[137],{"categories":936},[94],{"categories":938},[137],{"categories":940},[137,145],{"categories":942},[137],{"categories":944},[137],{"categories":946},[145],{"categories":948},[],{"categories":950},[243],{"categories":952},[243],{"categories":954},[137],{"categories":956},[],{"categories":958},[],{"categories":960},[137],{"categories":962},[188],{"categories":964},[],{"categories":966},[140],{"categories":968},[137],{"categories":970},[163],{"categories":972},[94],{"categories":974},[137],{"categories":976},[977],"Generative UI & Design-to-Code",{"categories":979},[137],{"categories":981},[137],{"categories":983},[243],{"categories":985},[137],{"categories":987},[988],"Algorithmic Accountability",{"categories":990},[137],{"categories":992},[94],{"categories":994},[163],{"categories":996},[188],{"categories":998},[243],{"categories":1000},[137],{"categories":1002},[],{"categories":1004},[152],{"categories":1006},[137],{"categories":1008},[137],{"categories":1010},[137],{"categories":1012},[137],{"categories":1014},[137],{"categories":1016},[94],{"categories":1018},[1019],"MLOps & Infrastructure",{"categories":1021},[137],{"categories":1023},[137],{"categories":1025},[137],{"categories":1027},[137],{"categories":1029},[137],{"categories":1031},[137],{"categories":1033},[163],{"categories":1035},[188],{"categories":1037},[137],{"categories":1039},[137],{"categories":1041},[152],{"categories":1043},[140],{"categories":1045},[137],{"categories":1047},[94],{"categories":1049},[321],{"categories":1051},[137],{"categories":1053},[145],{"categories":1055},[137],{"categories":1057},[243],{"categories":1059},[137],{"categories":1061},[152],{"categories":1063},[137],{"categories":1065},[94],{"categories":1067},[],{"categories":1069},[],{"categories":1071},[137],{"categories":1073},[177],{"categories":1075},[243],{"categories":1077},[188],{"categories":1079},[166],{"categories":1081},[],{"categories":1083},[137],{"categories":1085},[137],{"categories":1087},[145],{"categories":1089},[94],{"categories":1091},[137],{"categories":1093},[137],{"categories":1095},[137],{"categories":1097},[137],{"categories":1099},[137],{"categories":1101},[188],{"categories":1103},[177],{"categories":1105},[137],{"categories":1107},[243],{"categories":1109},[137],{"categories":1111},[],{"categories":1113},[94],{"categories":1115},[163],{"categories":1117},[],{"categories":1119},[137],{"categories":1121},[137],{"categories":1123},[94],{"categories":1125},[163],{"categories":1127},[137],{"categories":1129},[166],{"categories":1131},[243],{"categories":1133},[],{"categories":1135},[137],{"categories":1137},[],{"categories":1139},[137],{"categories":1141},[],{"categories":1143},[137],{"categories":1145},[137],{"categories":1147},[152],{"categories":1149},[145],{"categories":1151},[94],{"categories":1153},[94],{"categories":1155},[163],{"categories":1157},[],{"categories":1159},[137],{"categories":1161},[140],{"categories":1163},[137],{"categories":1165},[137],{"categories":1167},[145],{"categories":1169},[188],{"categories":1171},[140],{"categories":1173},[],{"categories":1175},[137],{"categories":1177},[],{"categories":1179},[137],{"categories":1181},[],{"categories":1183},[137],{"categories":1185},[188],{"categories":1187},[188],{"categories":1189},[],{"categories":1191},[516],{"categories":1193},[137],{"categories":1195},[243],{"categories":1197},[163],{"categories":1199},[],{"categories":1201},[454],{"categories":1203},[94],{"categories":1205},[94],{"categories":1207},[145],{"categories":1209},[137],{"categories":1211},[],{"categories":1213},[],{"categories":1215},[140],{"categories":1217},[166],{"categories":1219},[],{"categories":1221},[278],{"categories":1223},[94],{"categories":1225},[145],{"categories":1227},[94],{"categories":1229},[137],{"categories":1231},[145],{"categories":1233},[137],{"categories":1235},[163],{"categories":1237},[],{"categories":1239},[177],{"categories":1241},[152],{"categories":1243},[137],{"categories":1245},[243],{"categories":1247},[163],{"categories":1249},[145],{"categories":1251},[137],{"categories":1253},[163],{"categories":1255},[137],{"categories":1257},[94],{"categories":1259},[145],{"categories":1261},[137],{"categories":1263},[137],{"categories":1265},[137],{"categories":1267},[137],{"categories":1269},[137],{"categories":1271},[137],{"categories":1273},[],{"categories":1275},[],{"categories":1277},[163],{"categories":1279},[166],{"categories":1281},[152],{"categories":1283},[137],{"categories":1285},[94],{"categories":1287},[163],{"categories":1289},[163],{"categories":1291},[137],{"categories":1293},[],{"categories":1295},[137],{"categories":1297},[188],{"categories":1299},[152],{"categories":1301},[152],{"categories":1303},[163],{"categories":1305},[137],{"categories":1307},[660],{"categories":1309},[321],{"categories":1311},[],{"categories":1313},[137],{"categories":1315},[94],{"categories":1317},[137],{"categories":1319},[140],{"categories":1321},[],{"categories":1323},[140],{"categories":1325},[243],{"categories":1327},[],{"categories":1329},[137],{"categories":1331},[137],{"categories":1333},[137],{"categories":1335},[243],{"categories":1337},[278],{"categories":1339},[152],{"categories":1341},[137],{"categories":1343},[163],{"categories":1345},[137],{"categories":1347},[94],{"categories":1349},[],{"categories":1351},[163],{"categories":1353},[137],{"categories":1355},[140],{"categories":1357},[],{"categories":1359},[145],{"categories":1361},[137],{"categories":1363},[137],{"categories":1365},[188],{"categories":1367},[137,321],{"categories":1369},[137],{"categories":1371},[1372],"Design Systems for AI",{"categories":1374},[137],{"categories":1376},[137],{"categories":1378},[188],{"categories":1380},[137],{"categories":1382},[137],{"categories":1384},[137],{"categories":1386},[145],{"categories":1388},[137],{"categories":1390},[137],{"categories":1392},[137],{"categories":1394},[],{"categories":1396},[137],{"categories":1398},[137],{"categories":1400},[145],{"categories":1402},[137],{"categories":1404},[],{"categories":1406},[94],{"categories":1408},[94],{"categories":1410},[163],{"categories":1412},[137],{"categories":1414},[188],{"categories":1416},[163],{"categories":1418},[137],{"categories":1420},[243],{"categories":1422},[188],{"categories":1424},[166],{"categories":1426},[137],{"categories":1428},[137],{"categories":1430},[137],{"categories":1432},[137],{"categories":1434},[94],{"categories":1436},[140],{"categories":1438},[633],{"categories":1440},[137],{"categories":1442},[137],{"categories":1444},[94],{"categories":1446},[137],{"categories":1448},[163],{"categories":1450},[137],{"categories":1452},[163],{"categories":1454},[],{"categories":1456},[243],{"categories":1458},[],{"categories":1460},[137],{"categories":1462},[94],{"categories":1464},[152],{"categories":1466},[],{"categories":1468},[145],{"categories":1470},[137],{"categories":1472},[],{"categories":1474},[243],{"categories":1476},[163],{"categories":1478},[94],{"categories":1480},[163],{"categories":1482},[137],{"categories":1484},[243],{"categories":1486},[137],{"categories":1488},[163],{"categories":1490},[137],{"categories":1492},[137],{"categories":1494},[243],{"categories":1496},[],{"categories":1498},[],{"categories":1500},[188],{"categories":1502},[94],{"categories":1504},[94],{"categories":1506},[137],{"categories":1508},[94],{"categories":1510},[137],{"categories":1512},[137],{"categories":1514},[137],{"categories":1516},[137],{"categories":1518},[137],{"categories":1520},[137],{"categories":1522},[145],{"categories":1524},[152],{"categories":1526},[137],{"categories":1528},[137],{"categories":1530},[],{"categories":1532},[163],{"categories":1534},[163],{"categories":1536},[137],{"categories":1538},[163],{"categories":1540},[145],{"categories":1542},[],{"categories":1544},[137],{"categories":1546},[137],{"categories":1548},[243],{"categories":1550},[137],{"categories":1552},[137],{"categories":1554},[137],{"categories":1556},[94],{"categories":1558},[140],{"categories":1560},[145],{"categories":1562},[137],{"categories":1564},[94],{"categories":1566},[188],{"categories":1568},[94],{"categories":1570},[177],{"categories":1572},[278],{"categories":1574},[137],{"categories":1576},[94],{"categories":1578},[137],{"categories":1580},[137],{"categories":1582},[137],{"categories":1584},[137],{"categories":1586},[],{"categories":1588},[243],{"categories":1590},[],{"categories":1592},[137],{"categories":1594},[137],{"categories":1596},[],{"categories":1598},[137],{"categories":1600},[137],{"categories":1602},[163],{"categories":1604},[145],{"categories":1606},[1607],"Visual & Generative Media",{"categories":1609},[94],{"categories":1611},[],{"categories":1613},[137],{"categories":1615},[137],{"categories":1617},[163],{"categories":1619},[137],{"categories":1621},[321],{"categories":1623},[137],{"categories":1625},[166],{"categories":1627},[633],{"categories":1629},[163],{"categories":1631},[278],{"categories":1633},[137],{"categories":1635},[152],{"categories":1637},[243],{"categories":1639},[137],{"categories":1641},[137],{"categories":1643},[163],{"categories":1645},[94],{"categories":1647},[137],{"categories":1649},[],{"categories":1651},[],{"categories":1653},[94],{"categories":1655},[163],{"categories":1657},[140],{"categories":1659},[94],{"categories":1661},[585],{"categories":1663},[137],{"categories":1665},[152],{"categories":1667},[137],{"categories":1669},[145],{"categories":1671},[],{"categories":1673},[137],{"categories":1675},[152],{"categories":1677},[137],{"categories":1679},[137],{"categories":1681},[137],{"categories":1683},[152],{"categories":1685},[137],{"categories":1687},[137],{"categories":1689},[278],{"categories":1691},[137],{"categories":1693},[516],{"categories":1695},[163],{"categories":1697},[94],{"categories":1699},[137],{"categories":1701},[94],{"categories":1703},[137],{"categories":1705},[137],{"categories":1707},[94],{"categories":1709},[137],{"categories":1711},[137],{"categories":1713},[137],{"categories":1715},[94],{"categories":1717},[137],{"categories":1719},[243],{"categories":1721},[94],{"categories":1723},[],{"categories":1725},[94],{"categories":1727},[137],{"categories":1729},[],{"categories":1731},[321],{"categories":1733},[163],{"categories":1735},[],{"categories":1737},[585],{"categories":1739},[137],{"categories":1741},[94],{"categories":1743},[94],{"categories":1745},[137],{"categories":1747},[243,137],{"categories":1749},[137],{"categories":1751},[140],{"categories":1753},[137],{"categories":1755},[94],{"categories":1757},[243],{"categories":1759},[],{"categories":1761},[137],{"categories":1763},[140],{"categories":1765},[137],{"categories":1767},[1768],"Medical Imaging & Radiology",{"categories":1770},[137],{"categories":1772},[137],{"categories":1774},[137],{"categories":1776},[243],{"categories":1778},[94],{"categories":1780},[94],{"categories":1782},[163],{"categories":1784},[],{"categories":1786},[137],{"categories":1788},[137],{"categories":1790},[137],{"categories":1792},[],{"categories":1794},[],{"categories":1796},[137],{"categories":1798},[137],{"categories":1800},[516],{"categories":1802},[137],{"categories":1804},[137],{"categories":1806},[140],{"categories":1808},[137],{"categories":1810},[137],{"categories":1812},[],{"categories":1814},[94],{"categories":1816},[137],{"categories":1818},[152],{"categories":1820},[163],{"categories":1822},[137],{"categories":1824},[137],{"categories":1826},[94],{"categories":1828},[516],{"categories":1830},[137],{"categories":1832},[94],{"categories":1834},[137],{"categories":1836},[137],{"categories":1838},[137],{"categories":1840},[137],{"categories":1842},[243],{"categories":1844},[94],{"categories":1846},[321],{"categories":1848},[243],{"categories":1850},[145],{"categories":1852},[94],{"categories":1854},[188],{"categories":1856},[137],{"categories":1858},[137],{"categories":1860},[152],{"categories":1862},[137],{"categories":1864},[137],{"categories":1866},[137],{"categories":1868},[137],{"categories":1870},[137],{"categories":1872},[94],{"categories":1874},[137],{"categories":1876},[163],{"categories":1878},[137],{"categories":1880},[163],{"categories":1882},[137],{"categories":1884},[152],{"categories":1886},[],{"categories":1888},[188],{"categories":1890},[],{"categories":1892},[152],{"categories":1894},[94],{"categories":1896},[137],{"categories":1898},[137],{"categories":1900},[94],{"categories":1902},[137],{"categories":1904},[1372],{"categories":1906},[137],{"categories":1908},[1372],{"categories":1910},[243],{"categories":1912},[137],{"categories":1914},[137],{"categories":1916},[137],{"categories":1918},[94],{"categories":1920},[163],{"categories":1922},[243],{"categories":1924},[94],{"categories":1926},[188],{"categories":1928},[],{"categories":1930},[137],{"categories":1932},[137],{"categories":1934},[],{"categories":1936},[137],{"categories":1938},[137],{"categories":1940},[94],{"categories":1942},[137],{"categories":1944},[137],{"categories":1946},[137],{"categories":1948},[94],{"categories":1950},[1951],"Contract Review & E-Discovery",{"categories":1953},[137],{"categories":1955},[243],{"categories":1957},[137],{"categories":1959},[140],{"categories":1961},[137],{"categories":1963},[188],{"categories":1965},[137],{"categories":1967},[137],{"categories":1969},[278],{"categories":1971},[163],{"categories":1973},[94],{"categories":1975},[137],{"categories":1977},[137],{"categories":1979},[137],{"categories":1981},[94],{"categories":1983},[94],{"categories":1985},[988],{"categories":1987},[137],{"categories":1989},[137],{"categories":1991},[94],{"categories":1993},[94],{"categories":1995},[137],{"categories":1997},[137],{"categories":1999},[137],{"categories":2001},[94],{"categories":2003},[137],{"categories":2005},[137],{"categories":2007},[163],{"categories":2009},[137],{"categories":2011},[516],{"categories":2013},[487],{"categories":2015},[137],{"categories":2017},[94],{"categories":2019},[137],{"categories":2021},[2022],"Law-Firm Practice & Adoption",{"categories":2024},[137],{"categories":2026},[94],{"categories":2028},[243],{"categories":2030},[137],{"categories":2032},[137],{"categories":2034},[137],{"categories":2036},[],{"categories":2038},[163],{"categories":2040},[],{"categories":2042},[163],{"categories":2044},[137],{"categories":2046},[],{"categories":2048},[163],{"categories":2050},[94],{"categories":2052},[140],{"categories":2054},[321],{"categories":2056},[137],{"categories":2058},[],{"categories":2060},[137],{"categories":2062},[140],{"categories":2064},[94],{"categories":2066},[145],{"categories":2068},[137],{"categories":2070},[278],{"categories":2072},[137],{"categories":2074},[],{"categories":2076},[145],{"categories":2078},[94],{"categories":2080},[145],{"categories":2082},[],{"categories":2084},[137],{"categories":2086},[152],{"categories":2088},[137],{"categories":2090},[163],{"categories":2092},[],{"categories":2094},[],{"categories":2096},[137],{"categories":2098},[],{"categories":2100},[],{"categories":2102},[137],{"categories":2104},[152],{"categories":2106},[94],{"categories":2108},[321],{"categories":2110},[137],{"categories":2112},[140],{"categories":2114},[163],{"categories":2116},[137],{"categories":2118},[137],{"categories":2120},[163],{"categories":2122},[152],{"categories":2124},[137],{"categories":2126},[137],{"categories":2128},[137],{"categories":2130},[1019],{"categories":2132},[137],{"categories":2134},[163],{"categories":2136},[137],{"categories":2138},[278],{"categories":2140},[163],{"categories":2142},[145],{"categories":2144},[137],{"categories":2146},[137],{"categories":2148},[137],{"categories":2150},[243],{"categories":2152},[137],{"categories":2154},[137],{"categories":2156},[137],{"categories":2158},[137],{"categories":2160},[145],{"categories":2162},[94],{"categories":2164},[137,140],{"categories":2166},[137],{"categories":2168},[516],{"categories":2170},[137],{"categories":2172},[137],{"categories":2174},[137],{"categories":2176},[163],{"categories":2178},[137],{"categories":2180},[163],{"categories":2182},[243],{"categories":2184},[94],{"categories":2186},[94],{"categories":2188},[163],{"categories":2190},[137],{"categories":2192},[94],{"categories":2194},[137],{"categories":2196},[137],{"categories":2198},[],{"categories":2200},[],{"categories":2202},[137],{"categories":2204},[166],{"categories":2206},[137],{"categories":2208},[137],{"categories":2210},[243],{"categories":2212},[94],{"categories":2214},[],{"categories":2216},[137],{"categories":2218},[137],{"categories":2220},[145],{"categories":2222},[163],{"categories":2224},[166],{"categories":2226},[188],{"categories":2228},[152],{"categories":2230},[243],{"categories":2232},[137],{"categories":2234},[94],{"categories":2236},[137],{"categories":2238},[163],{"categories":2240},[],{"categories":2242},[94],{"categories":2244},[94],{"categories":2246},[94],{"categories":2248},[137],{"categories":2250},[137],{"categories":2252},[137],{"categories":2254},[137],{"categories":2256},[137],{"categories":2258},[137],{"categories":2260},[],{"categories":2262},[94],{"categories":2264},[137],{"categories":2266},[137],{"categories":2268},[137],{"categories":2270},[],{"categories":2272},[94],{"categories":2274},[94],{"categories":2276},[137],{"categories":2278},[137],{"categories":2280},[145],{"categories":2282},[137],{"categories":2284},[137],{"categories":2286},[],{"categories":2288},[140],{"categories":2290},[137],{"categories":2292},[137],{"categories":2294},[137],{"categories":2296},[243],{"categories":2298},[137],{"categories":2300},[163],{"categories":2302},[137],{"categories":2304},[140],{"categories":2306},[137],{"categories":2308},[163],{"categories":2310},[278],{"categories":2312},[163],{"categories":2314},[94],{"categories":2316},[137],{"categories":2318},[94],{"categories":2320},[137],{"categories":2322},[137],{"categories":2324},[137],{"categories":2326},[137,243],{"categories":2328},[137],{"categories":2330},[94],{"categories":2332},[188],{"categories":2334},[137],{"categories":2336},[188],{"categories":2338},[94],{"categories":2340},[243],{"categories":2342},[137],{"categories":2344},[],{"categories":2346},[163],{"categories":2348},[321],{"categories":2350},[243],{"categories":2352},[163],{"categories":2354},[137],{"categories":2356},[152],{"categories":2358},[137],{"categories":2360},[137],{"categories":2362},[94],{"categories":2364},[],{"categories":2366},[],{"categories":2368},[137],{"categories":2370},[],{"categories":2372},[],{"categories":2374},[152],{"categories":2376},[163],{"categories":2378},[137],{"categories":2380},[137],{"categories":2382},[94],{"categories":2384},[137],{"categories":2386},[94],{"categories":2388},[145],{"categories":2390},[94],{"categories":2392},[321],{"categories":2394},[137],{"categories":2396},[137],{"categories":2398},[137],{"categories":2400},[177],{"categories":2402},[137],{"categories":2404},[137],{"categories":2406},[137],{"categories":2408},[137],{"categories":2410},[163],{"categories":2412},[94],{"categories":2414},[137],{"categories":2416},[137],{"categories":2418},[137],{"categories":2420},[137],{"categories":2422},[163],{"categories":2424},[454],{"categories":2426},[94],{"categories":2428},[988],{"categories":2430},[],{"categories":2432},[94],{"categories":2434},[243],{"categories":2436},[2022],{"categories":2438},[163],{"categories":2440},[],{"categories":2442},[94],{"categories":2444},[],{"categories":2446},[137],{"categories":2448},[94],{"categories":2450},[],{"categories":2452},[],{"categories":2454},[137],{"categories":2456},[137],{"categories":2458},[278],{"categories":2460},[137],{"categories":2462},[278],{"categories":2464},[137],{"categories":2466},[94],{"categories":2468},[137],{"categories":2470},[137],{"categories":2472},[166],{"categories":2474},[137],{"categories":2476},[163],{"categories":2478},[152],{"categories":2480},[],{"categories":2482},[137],{"categories":2484},[137],{"categories":2486},[137],{"categories":2488},[163],{"categories":2490},[137],{"categories":2492},[1951],{"categories":2494},[94],{"categories":2496},[137],{"categories":2498},[243],{"categories":2500},[243],{"categories":2502},[137],{"categories":2504},[137],{"categories":2506},[94],{"categories":2508},[140],{"categories":2510},[137],{"categories":2512},[137],{"categories":2514},[137],{"categories":2516},[137],{"categories":2518},[243],{"categories":2520},[243],{"categories":2522},[94],{"categories":2524},[94],{"categories":2526},[94],{"categories":2528},[137],{"categories":2530},[137],{"categories":2532},[137],{"categories":2534},[94],{"categories":2536},[],{"categories":2538},[137],{"categories":2540},[],{"categories":2542},[243],{"categories":2544},[2545],"Interaction & Product Design",{"categories":2547},[137],{"categories":2549},[94],{"categories":2551},[163],{"categories":2553},[358],{"categories":2555},[188],{"categories":2557},[163],{"categories":2559},[137],{"categories":2561},[152],{"categories":2563},[137],{"categories":2565},[137],{"categories":2567},[163],{"categories":2569},[137],{"categories":2571},[140],{"categories":2573},[94],{"categories":2575},[137],{"categories":2577},[],{"categories":2579},[94],{"categories":2581},[94],{"categories":2583},[94],{"categories":2585},[],{"categories":2587},[163],{"categories":2589},[137],{"categories":2591},[94],{"categories":2593},[140],{"categories":2595},[2545],{"categories":2597},[137],{"categories":2599},[140],{"categories":2601},[137],{"categories":2603},[140],{"categories":2605},[137],{"categories":2607},[],{"categories":2609},[137],{"categories":2611},[94],{"categories":2613},[163],{"categories":2615},[],{"categories":2617},[94],{"categories":2619},[152],{"categories":2621},[188],{"categories":2623},[137],{"categories":2625},[94],{"categories":2627},[137],{"categories":2629},[94],{"categories":2631},[94],{"categories":2633},[137],{"categories":2635},[137],{"categories":2637},[188],{"categories":2639},[166],{"categories":2641},[137],{"categories":2643},[152],{"categories":2645},[163],{"categories":2647},[2648],"Coding Agents & Dev Productivity",{"categories":2650},[188],{"categories":2652},[243],{"categories":2654},[137],{"categories":2656},[137],{"categories":2658},[],{"categories":2660},[137],{"categories":2662},[137],{"categories":2664},[988],{"categories":2666},[],{"categories":2668},[137],{"categories":2670},[137],{"categories":2672},[321],{"categories":2674},[137],{"categories":2676},[188],{"categories":2678},[],{"categories":2680},[],{"categories":2682},[137],{"categories":2684},[],{"categories":2686},[94],{"categories":2688},[137],{"categories":2690},[94],{"categories":2692},[],{"categories":2694},[163],{"categories":2696},[163],{"categories":2698},[137],{"categories":2700},[166],{"categories":2702},[],{"categories":2704},[137],{"categories":2706},[137],{"categories":2708},[137],{"categories":2710},[166],{"categories":2712},[163],{"categories":2714},[94],{"categories":2716},[],{"categories":2718},[],{"categories":2720},[137],{"categories":2722},[137],{"categories":2724},[137],{"categories":2726},[137],{"categories":2728},[94],{"categories":2730},[94],{"categories":2732},[431],{"categories":2734},[163],{"categories":2736},[152],{"categories":2738},[137],{"categories":2740},[163],{"categories":2742},[94],{"categories":2744},[188],{"categories":2746},[188],{"categories":2748},[94],{"categories":2750},[94],{"categories":2752},[137],{"categories":2754},[140],{"categories":2756},[2545],{"categories":2758},[152],{"categories":2760},[137,321],{"categories":2762},[166],{"categories":2764},[],{"categories":2766},[243],{"categories":2768},[94],{"categories":2770},[163],{"categories":2772},[140],{"categories":2774},[137],{"categories":2776},[94],{"categories":2778},[2779],"The Designer's Role & Craft",{"categories":2781},[243],{"categories":2783},[],{"categories":2785},[94],{"categories":2787},[137],{"categories":2789},[94],{"categories":2791},[94],{"categories":2793},[137],{"categories":2795},[278],{"categories":2797},[137],{"categories":2799},[163],{"categories":2801},[94],{"categories":2803},[137],{"categories":2805},[243],{"categories":2807},[137],{"categories":2809},[],{"categories":2811},[94],{"categories":2813},[243],{"categories":2815},[152],{"categories":2817},[137],{"categories":2819},[94],{"categories":2821},[137],{"categories":2823},[137],{"categories":2825},[137],{"categories":2827},[2828],"AI UX Patterns",{"categories":2830},[94],{"categories":2832},[94],{"categories":2834},[94],{"categories":2836},[137],{"categories":2838},[137],{"categories":2840},[94],{"categories":2842},[278],{"categories":2844},[166],{"categories":2846},[137],{"categories":2848},[94],{"categories":2850},[137],{"categories":2852},[137],{"categories":2854},[1372],{"categories":2856},[],{"categories":2858},[278],{"categories":2860},[94],{"categories":2862},[188],{"categories":2864},[163],{"categories":2866},[137],{"categories":2868},[94],{"categories":2870},[],{"categories":2872},[],{"categories":2874},[137],{"categories":2876},[137],{"categories":2878},[94],{"categories":2880},[137],{"categories":2882},[94],{"categories":2884},[431],{"categories":2886},[243],{"categories":2888},[137],{"categories":2890},[188],{"categories":2892},[163],{"categories":2894},[137],{"categories":2896},[94],{"categories":2898},[94],{"categories":2900},[],{"categories":2902},[137],{"categories":2904},[],{"categories":2906},[137],{"categories":2908},[137],{"categories":2910},[],{"categories":2912},[137],{"categories":2914},[137],{"categories":2916},[137],{"categories":2918},[94],{"categories":2920},[137],{"categories":2922},[163],{"categories":2924},[],{"categories":2926},[],{"categories":2928},[166],{"categories":2930},[177],{"categories":2932},[137],{"categories":2934},[137],{"categories":2936},[137],{"categories":2938},[166],{"categories":2940},[166],{"categories":2942},[137],{"categories":2944},[137],{"categories":2946},[188],{"categories":2948},[137],{"categories":2950},[137],{"categories":2952},[137],{"categories":2954},[94],{"categories":2956},[137],{"categories":2958},[137],{"categories":2960},[94],{"categories":2962},[137],{"categories":2964},[137],{"categories":2966},[137],{"categories":2968},[94],{"categories":2970},[],{"categories":2972},[163],{"categories":2974},[137],{"categories":2976},[],{"categories":2978},[137],{"categories":2980},[137],{"categories":2982},[321],{"categories":2984},[137],{"categories":2986},[],{"categories":2988},[],{"categories":2990},[243],{"categories":2992},[1019],{"categories":2994},[94],{"categories":2996},[140],{"categories":2998},[2779],{"categories":3000},[],{"categories":3002},[],{"categories":3004},[137],{"categories":3006},[],{"categories":3008},[],{"categories":3010},[163],{"categories":3012},[188],{"categories":3014},[278],{"categories":3016},[166],{"categories":3018},[94],{"categories":3020},[145],{"categories":3022},[137],{"categories":3024},[137],{"categories":3026},[137],{"categories":3028},[145],{"categories":3030},[],{"categories":3032},[243],{"categories":3034},[152],{"categories":3036},[137],{"categories":3038},[137],{"categories":3040},[94],{"categories":3042},[145],{"categories":3044},[137],{"categories":3046},[137],{"categories":3048},[140],{"categories":3050},[137],{"categories":3052},[145],{"categories":3054},[137],{"categories":3056},[],{"categories":3058},[140],{"categories":3060},[137],{"categories":3062},[278],{"categories":3064},[137],{"categories":3066},[163],{"categories":3068},[94],{"categories":3070},[188],{"categories":3072},[137],{"categories":3074},[163],{"categories":3076},[137],{"categories":3078},[137],{"categories":3080},[137],{"categories":3082},[137],{"categories":3084},[145],{"categories":3086},[137],{"categories":3088},[137],{"categories":3090},[137],{"categories":3092},[94],{"categories":3094},[137],{"categories":3096},[137],{"categories":3098},[137],{"categories":3100},[],{"categories":3102},[137],{"categories":3104},[163],{"categories":3106},[140],{"categories":3108},[137],{"categories":3110},[137],{"categories":3112},[243],{"categories":3114},[137],{"categories":3116},[],{"categories":3118},[137],{"categories":3120},[516],{"categories":3122},[94],{"categories":3124},[145],{"categories":3126},[137],{"categories":3128},[188],{"categories":3130},[137],{"categories":3132},[137],{"categories":3134},[],{"categories":3136},[145],{"categories":3138},[145],{"categories":3140},[137],{"categories":3142},[137],{"categories":3144},[152],{"categories":3146},[137],{"categories":3148},[137],{"categories":3150},[137],{"categories":3152},[137],{"categories":3154},[163],{"categories":3156},[166],{"categories":3158},[163],{"categories":3160},[137],{"categories":3162},[],{"categories":3164},[137],{"categories":3166},[163],{"categories":3168},[137],{"categories":3170},[163],{"categories":3172},[94],{"categories":3174},[633],{"categories":3176},[],{"categories":3178},[],{"categories":3180},[137],{"categories":3182},[188],{"categories":3184},[],{"categories":3186},[321],{"categories":3188},[137],{"categories":3190},[137],{"categories":3192},[137],{"categories":3194},[243],{"categories":3196},[977],{"categories":3198},[],{"categories":3200},[137],{"categories":3202},[137],{"categories":3204},[137],{"categories":3206},[163],{"categories":3208},[137],{"categories":3210},[137],{"categories":3212},[137],{"categories":3214},[137],{"categories":3216},[137,321],{"categories":3218},[137],{"categories":3220},[137],{"categories":3222},[243],{"categories":3224},[94],{"categories":3226},[],{"categories":3228},[94],{"categories":3230},[94],{"categories":3232},[137],{"categories":3234},[137],{"categories":3236},[137],{"categories":3238},[137],{"categories":3240},[137],{"categories":3242},[166],{"categories":3244},[137],{"categories":3246},[137],{"categories":3248},[2828],{"categories":3250},[140],{"categories":3252},[137],{"categories":3254},[166],{"categories":3256},[140],{"categories":3258},[163],{"categories":3260},[243],{"categories":3262},[94],{"categories":3264},[137],{"categories":3266},[137],{"categories":3268},[],{"categories":3270},[145],{"categories":3272},[137],{"categories":3274},[137],{"categories":3276},[188],{"categories":3278},[137],{"categories":3280},[137],{"categories":3282},[137],{"categories":3284},[94],{"categories":3286},[137],{"categories":3288},[137],{"categories":3290},[243],{"categories":3292},[137],{"categories":3294},[145],{"categories":3296},[],{"categories":3298},[321],{"categories":3300},[152],{"categories":3302},[137],{"categories":3304},[431],{"categories":3306},[243],{"categories":3308},[243],{"categories":3310},[163],{"categories":3312},[94],{"categories":3314},[137],{"categories":3316},[145],{"categories":3318},[188],{"categories":3320},[137],{"categories":3322},[137],{"categories":3324},[137],{"categories":3326},[243],{"categories":3328},[94],{"categories":3330},[137],{"categories":3332},[94],{"categories":3334},[137],{"categories":3336},[94],{"categories":3338},[137],{"categories":3340},[585],{"categories":3342},[137],{"categories":3344},[94],{"categories":3346},[],{"categories":3348},[137],{"categories":3350},[137],{"categories":3352},[137],{"categories":3354},[137],{"categories":3356},[94],{"categories":3358},[],{"categories":3360},[],{"categories":3362},[137],{"categories":3364},[137],{"categories":3366},[94],{"categories":3368},[137],{"categories":3370},[137],{"categories":3372},[137],{"categories":3374},[163],{"categories":3376},[137],{"categories":3378},[137],{"categories":3380},[94],{"categories":3382},[137],{"categories":3384},[137],{"categories":3386},[137],{"categories":3388},[137],{"categories":3390},[137],{"categories":3392},[],{"categories":3394},[163],{"categories":3396},[166],{"categories":3398},[137],{"categories":3400},[94],{"categories":3402},[94],{"categories":3404},[137],{"categories":3406},[137],{"categories":3408},[],{"categories":3410},[],{"categories":3412},[137],{"categories":3414},[137],{"categories":3416},[137],{"categories":3418},[137],{"categories":3420},[188],{"categories":3422},[166],{"categories":3424},[],{"categories":3426},[137],{"categories":3428},[243],{"categories":3430},[137],{"categories":3432},[137],{"categories":3434},[321],{"categories":3436},[2022],{"categories":3438},[137],{"categories":3440},[188],{"categories":3442},[163],{"categories":3444},[137],{"categories":3446},[163],{"categories":3448},[163],{"categories":3450},[137],{"categories":3452},[137],{"categories":3454},[163],{"categories":3456},[188],{"categories":3458},[188],{"categories":3460},[321],{"categories":3462},[94],{"categories":3464},[],{"categories":3466},[188],{"categories":3468},[145],{"categories":3470},[137],{"categories":3472},[94],{"categories":3474},[140],{"categories":3476},[163],{"categories":3478},[137],{"categories":3480},[145],{"categories":3482},[188],{"categories":3484},[],{"categories":3486},[137],{"categories":3488},[163],{"categories":3490},[137],{"categories":3492},[163],{"categories":3494},[166],{"categories":3496},[137],{"categories":3498},[188],{"categories":3500},[137],{"categories":3502},[163],{"categories":3504},[137],{"categories":3506},[94],{"categories":3508},[94],{"categories":3510},[188],{"categories":3512},[94],{"categories":3514},[321],{"categories":3516},[94],{"categories":3518},[137],{"categories":3520},[137],{"categories":3522},[137],{"categories":3524},[137],{"categories":3526},[137],{"categories":3528},[137],{"categories":3530},[163],{"categories":3532},[137],{"categories":3534},[],{"categories":3536},[94],{"categories":3538},[145],{"categories":3540},[163],{"categories":3542},[],{"categories":3544},[],{"categories":3546},[137],{"categories":3548},[94],{"categories":3550},[137],{"categories":3552},[137],{"categories":3554},[137],{"categories":3556},[3557],"Frameworks & Tooling",{"categories":3559},[137],{"categories":3561},[137],{"categories":3563},[163],{"categories":3565},[137],{"categories":3567},[137],{"categories":3569},[],{"categories":3571},[166],{"categories":3573},[166],{"categories":3575},[137],{"categories":3577},[140],{"categories":3579},[137],{"categories":3581},[94],{"categories":3583},[137],{"categories":3585},[243],{"categories":3587},[],{"categories":3589},[2022],{"categories":3591},[137],{"categories":3593},[163],{"categories":3595},[137],{"categories":3597},[321],{"categories":3599},[321],{"categories":3601},[],{"categories":3603},[137],{"categories":3605},[94],{"categories":3607},[94],{"categories":3609},[137],{"categories":3611},[137],{"categories":3613},[188],{"categories":3615},[94],{"categories":3617},[188],{"categories":3619},[137],{"categories":3621},[94],{"categories":3623},[],{"categories":3625},[243],{"categories":3627},[137],{"categories":3629},[137],{"categories":3631},[],{"categories":3633},[137],{"categories":3635},[137],{"categories":3637},[94],{"categories":3639},[137],{"categories":3641},[137],{"categories":3643},[137],{"categories":3645},[],{"categories":3647},[145],{"categories":3649},[163],{"categories":3651},[137],{"categories":3653},[163],{"categories":3655},[321],{"categories":3657},[137],{"categories":3659},[137],{"categories":3661},[137],{"categories":3663},[163],{"categories":3665},[137],{"categories":3667},[145],{"categories":3669},[137],{"categories":3671},[2022],{"categories":3673},[],{"categories":3675},[94],{"categories":3677},[140],{"categories":3679},[137],{"categories":3681},[140],{"categories":3683},[137],{"categories":3685},[],{"categories":3687},[94],{"categories":3689},[137],{"categories":3691},[137],{"categories":3693},[3694],"AI Design Tooling",{"categories":3696},[243],{"categories":3698},[137],{"categories":3700},[137],{"categories":3702},[163],{"categories":3704},[243],{"categories":3706},[137],{"categories":3708},[137],{"categories":3710},[163],{"categories":3712},[94],{"categories":3714},[188],{"categories":3716},[152],{"categories":3718},[163],{"categories":3720},[137],{"categories":3722},[137],{"categories":3724},[137],{"categories":3726},[94],{"categories":3728},[137],{"categories":3730},[],{"categories":3732},[94],{"categories":3734},[137],{"categories":3736},[137],{"categories":3738},[94],{"categories":3740},[137],{"categories":3742},[137],{"categories":3744},[137],{"categories":3746},[94],{"categories":3748},[],{"categories":3750},[94],{"categories":3752},[3557],{"categories":3754},[137],{"categories":3756},[137],{"categories":3758},[94],{"categories":3760},[94],{"categories":3762},[163],{"categories":3764},[163],{"categories":3766},[137],{"categories":3768},[137],{"categories":3770},[],{"categories":3772},[163],{"categories":3774},[137],{"categories":3776},[137],{"categories":3778},[94],{"categories":3780},[145],{"categories":3782},[137],{"categories":3784},[],{"categories":3786},[137],{"categories":3788},[137],{"categories":3790},[2545],{"categories":3792},[],{"categories":3794},[137],{"categories":3796},[137],{"categories":3798},[137],{"categories":3800},[137],{"categories":3802},[243],{"categories":3804},[137],{"categories":3806},[],{"categories":3808},[137],{"categories":3810},[137],{"categories":3812},[137],{"categories":3814},[137],{"categories":3816},[278],{"categories":3818},[188],{"categories":3820},[137],{"categories":3822},[137],{"categories":3824},[2022],{"categories":3826},[137],{"categories":3828},[140],{"categories":3830},[137],{"categories":3832},[137],{"categories":3834},[166],{"categories":3836},[94],{"categories":3838},[137],{"categories":3840},[137],{"categories":3842},[188],{"categories":3844},[94],{"categories":3846},[152],{"categories":3848},[],{"categories":3850},[137],{"categories":3852},[137],{"categories":3854},[243],{"categories":3856},[137],{"categories":3858},[278],{"categories":3860},[94],{"categories":3862},[137],{"categories":3864},[94],{"categories":3866},[137],{"categories":3868},[],{"categories":3870},[],{"categories":3872},[],{"categories":3874},[140],{"categories":3876},[188],{"categories":3878},[94],{"categories":3880},[137],{"categories":3882},[137],{"categories":3884},[137],{"categories":3886},[137],{"categories":3888},[137],{"categories":3890},[454],{"categories":3892},[137],{"categories":3894},[243],{"categories":3896},[94],{"categories":3898},[137],{"categories":3900},[],{"categories":3902},[137],{"categories":3904},[94],{"categories":3906},[94],{"categories":3908},[],{"categories":3910},[137],{"categories":3912},[94],{"categories":3914},[137],{"categories":3916},[],{"categories":3918},[152],{"categories":3920},[137],{"categories":3922},[137],{"categories":3924},[137],{"categories":3926},[188],{"categories":3928},[243],{"categories":3930},[94],{"categories":3932},[243],{"categories":3934},[94],{"categories":3936},[137],{"categories":3938},[145],{"categories":3940},[],{"categories":3942},[],{"categories":3944},[137],{"categories":3946},[137],{"categories":3948},[137],{"categories":3950},[140],{"categories":3952},[137],{"categories":3954},[94],{"categories":3956},[188],{"categories":3958},[],{"categories":3960},[243],{"categories":3962},[94],{"categories":3964},[],{"categories":3966},[163],{"categories":3968},[137],{"categories":3970},[163],{"categories":3972},[243],{"categories":3974},[163],{"categories":3976},[137],{"categories":3978},[],{"categories":3980},[137],{"categories":3982},[137],{"categories":3984},[94],{"categories":3986},[],{"categories":3988},[137],{"categories":3990},[137],{"categories":3992},[278],{"categories":3994},[137],{"categories":3996},[137],{"categories":3998},[137],{"categories":4000},[321],{"categories":4002},[163],{"categories":4004},[137],{"categories":4006},[94],{"categories":4008},[],{"categories":4010},[137],{"categories":4012},[94],{"categories":4014},[137],{"categories":4016},[140],{"categories":4018},[585],{"categories":4020},[137],{"categories":4022},[137],{"categories":4024},[137],{"categories":4026},[94],{"categories":4028},[137],{"categories":4030},[94],{"categories":4032},[137],{"categories":4034},[137],{"categories":4036},[137],{"categories":4038},[94],{"categories":4040},[152],{"categories":4042},[137],{"categories":4044},[137],{"categories":4046},[],{"categories":4048},[137],{"categories":4050},[137],{"categories":4052},[140],{"categories":4054},[137],{"categories":4056},[145],{"categories":4058},[163],{"categories":4060},[243],{"categories":4062},[],{"categories":4064},[137],{"categories":4066},[],{"categories":4068},[94],{"categories":4070},[137],{"categories":4072},[94],{"categories":4074},[],{"categories":4076},[94],{"categories":4078},[137],{"categories":4080},[163],{"categories":4082},[243],{"categories":4084},[188],{"categories":4086},[137],{"categories":4088},[188],{"categories":4090},[94],{"categories":4092},[137],{"categories":4094},[243],{"categories":4096},[137],{"categories":4098},[],{"categories":4100},[137],{"categories":4102},[177],{"categories":4104},[94],{"categories":4106},[137],{"categories":4108},[243],{"categories":4110},[188],{"categories":4112},[137],{"categories":4114},[145],{"categories":4116},[163],{"categories":4118},[137],{"categories":4120},[137],{"categories":4122},[137],{"categories":4124},[137],{"categories":4126},[152],{"categories":4128},[137],{"categories":4130},[188],{"categories":4132},[163],{"categories":4134},[278],{"categories":4136},[],{"categories":4138},[],{"categories":4140},[166],{"categories":4142},[516],{"categories":4144},[137],{"categories":4146},[94],{"categories":4148},[137,163],{"categories":4150},[188],{"categories":4152},[137],{"categories":4154},[137],{"categories":4156},[137],{"categories":4158},[137],{"categories":4160},[137],{"categories":4162},[137],{"categories":4164},[137],{"categories":4166},[145],{"categories":4168},[94],{"categories":4170},[137],{"categories":4172},[137],{"categories":4174},[94],{"categories":4176},[137],{"categories":4178},[137],{"categories":4180},[137],{"categories":4182},[],{"categories":4184},[137],{"categories":4186},[1372],{"categories":4188},[163],{"categories":4190},[243],{"categories":4192},[137],{"categories":4194},[137],{"categories":4196},[137],{"categories":4198},[137],{"categories":4200},[166],{"categories":4202},[94],{"categories":4204},[278],{"categories":4206},[321],{"categories":4208},[],{"categories":4210},[163],{"categories":4212},[137],{"categories":4214},[145],{"categories":4216},[94],{"categories":4218},[137],{"categories":4220},[140],{"categories":4222},[94],{"categories":4224},[137],{"categories":4226},[94],{"categories":4228},[94],{"categories":4230},[152],{"categories":4232},[163],{"categories":4234},[137],{"categories":4236},[137],{"categories":4238},[],{"categories":4240},[],{"categories":4242},[],{"categories":4244},[321],{"categories":4246},[137],{"categories":4248},[188],{"categories":4250},[137],{"categories":4252},[137],{"categories":4254},[137],{"categories":4256},[137],{"categories":4258},[163],{"categories":4260},[137],{"categories":4262},[],{"categories":4264},[137],{"categories":4266},[166],{"categories":4268},[145],{"categories":4270},[94],{"categories":4272},[137],{"categories":4274},[],{"categories":4276},[137],{"categories":4278},[94],{"categories":4280},[163],{"categories":4282},[137],{"categories":4284},[137],{"categories":4286},[137],{"categories":4288},[321],{"categories":4290},[],{"categories":4292},[243],{"categories":4294},[243],{"categories":4296},[137],{"categories":4298},[94],{"categories":4300},[],{"categories":4302},[163],{"categories":4304},[137],{"categories":4306},[243],{"categories":4308},[137],{"categories":4310},[145],{"categories":4312},[94],{"categories":4314},[137],{"categories":4316},[],{"categories":4318},[188],{"categories":4320},[137],{"categories":4322},[137],{"categories":4324},[137],{"categories":4326},[137],{"categories":4328},[137],{"categories":4330},[243],{"categories":4332},[94],{"categories":4334},[188],{"categories":4336},[],{"categories":4338},[94],{"categories":4340},[137],{"categories":4342},[145],{"categories":4344},[94],{"categories":4346},[243],{"categories":4348},[137],{"categories":4350},[137],{"categories":4352},[137],{"categories":4354},[516],{"categories":4356},[137],{"categories":4358},[94],{"categories":4360},[],{"categories":4362},[137],{"categories":4364},[137],{"categories":4366},[321],{"categories":4368},[188],{"categories":4370},[166],{"categories":4372},[633],{"categories":4374},[166],{"categories":4376},[166],{"categories":4378},[137],{"categories":4380},[],{"categories":4382},[],{"categories":4384},[],{"categories":4386},[94],{"categories":4388},[137],{"categories":4390},[137],{"categories":4392},[94],{"categories":4394},[94],{"categories":4396},[163],{"categories":4398},[137],{"categories":4400},[487],{"categories":4402},[163],{"categories":4404},[137],{"categories":4406},[94],{"categories":4408},[137],{"categories":4410},[137],{"categories":4412},[137],{"categories":4414},[145],{"categories":4416},[137],{"categories":4418},[137],{"categories":4420},[137],{"categories":4422},[137],{"categories":4424},[94],{"categories":4426},[152],{"categories":4428},[137],{"categories":4430},[],{"categories":4432},[],{"categories":4434},[137],{"categories":4436},[],{"categories":4438},[137],{"categories":4440},[94],{"categories":4442},[243],{"categories":4444},[137],{"categories":4446},[137],{"categories":4448},[94],{"categories":4450},[],{"categories":4452},[94],{"categories":4454},[94],{"categories":4456},[137],{"categories":4458},[137],{"categories":4460},[137],{"categories":4462},[152],{"categories":4464},[137],{"categories":4466},[243],{"categories":4468},[137],{"categories":4470},[94],{"categories":4472},[145],{"categories":4474},[137],{"categories":4476},[137],{"categories":4478},[94],{"categories":4480},[137],{"categories":4482},[278],{"categories":4484},[94],{"categories":4486},[137],{"categories":4488},[137],{"categories":4490},[137],{"categories":4492},[977],{"categories":4494},[137],{"categories":4496},[94],{"categories":4498},[137],{"categories":4500},[163],{"categories":4502},[137],{"categories":4504},[585],{"categories":4506},[243],{"categories":4508},[],{"categories":4510},[137],{"categories":4512},[137],{"categories":4514},[188],{"categories":4516},[516],{"categories":4518},[94],{"categories":4520},[137],{"categories":4522},[],{"categories":4524},[188],{"categories":4526},[431],{"categories":4528},[94],{"categories":4530},[94],{"categories":4532},[94],{"categories":4534},[137],{"categories":4536},[137],{"categories":4538},[94],{"categories":4540},[137],{"categories":4542},[],{"categories":4544},[145],{"categories":4546},[137],{"categories":4548},[243],{"categories":4550},[145],{"categories":4552},[94],{"categories":4554},[163],{"categories":4556},[],{"categories":4558},[163],{"categories":4560},[137],{"categories":4562},[137],{"categories":4564},[140],{"categories":4566},[137],{"categories":4568},[188],{"categories":4570},[321],{"categories":4572},[177],{"categories":4574},[94],{"categories":4576},[94],{"categories":4578},[137],{"categories":4580},[137],{"categories":4582},[94],{"categories":4584},[137],{"categories":4586},[140],{"categories":4588},[],{"categories":4590},[94],{"categories":4592},[137],{"categories":4594},[137],{"categories":4596},[137],{"categories":4598},[94],{"categories":4600},[137],{"categories":4602},[],{"categories":4604},[137],{"categories":4606},[],{"categories":4608},[243],{"categories":4610},[94],{"categories":4612},[94],{"categories":4614},[137,145],{"categories":4616},[94],{"categories":4618},[137],{"categories":4620},[],{"categories":4622},[140],{"categories":4624},[166],{"categories":4626},[145],{"categories":4628},[94],{"categories":4630},[137],{"categories":4632},[163],{"categories":4634},[137],{"categories":4636},[137],{"categories":4638},[94],{"categories":4640},[137],{"categories":4642},[137],{"categories":4644},[137],{"categories":4646},[188],{"categories":4648},[1372],{"categories":4650},[94],{"categories":4652},[137],{"categories":4654},[],{"categories":4656},[],{"categories":4658},[137],{"categories":4660},[94],{"categories":4662},[137],{"categories":4664},[137],{"categories":4666},[321],{"categories":4668},[],{"categories":4670},[137],{"categories":4672},[94],{"categories":4674},[177],{"categories":4676},[94],{"categories":4678},[137],{"categories":4680},[516],{"categories":4682},[],{"categories":4684},[454],{"categories":4686},[137],{"categories":4688},[94],{"categories":4690},[137],{"categories":4692},[137],{"categories":4694},[137],{"categories":4696},[278],{"categories":4698},[137],{"categories":4700},[94],{"categories":4702},[137],{"categories":4704},[166],{"categories":4706},[152],{"categories":4708},[94],{"categories":4710},[137],{"categories":4712},[516],{"categories":4714},[137],{"categories":4716},[321],{"categories":4718},[145],{"categories":4720},[],{"categories":4722},[137],{"categories":4724},[137],{"categories":4726},[137],{"categories":4728},[278],{"categories":4730},[243],{"categories":4732},[137],{"categories":4734},[137],{"categories":4736},[137],{"categories":4738},[],{"categories":4740},[278],{"categories":4742},[188],{"categories":4744},[137],{"categories":4746},[137],{"categories":4748},[137],{"categories":4750},[633],{"categories":4752},[140],{"categories":4754},[137],{"categories":4756},[152],{"categories":4758},[137],{"categories":4760},[137],{"categories":4762},[],{"categories":4764},[],{"categories":4766},[243],{"categories":4768},[137],{"categories":4770},[137],{"categories":4772},[166],{"categories":4774},[278],{"categories":4776},[94],{"categories":4778},[137],{"categories":4780},[137],{"categories":4782},[278],{"categories":4784},[145],{"categories":4786},[188],{"categories":4788},[137],{"categories":4790},[137],{"categories":4792},[],{"categories":4794},[137],{"categories":4796},[137],{"categories":4798},[],{"categories":4800},[137],{"categories":4802},[137],{"categories":4804},[660],{"categories":4806},[137],{"categories":4808},[137],{"categories":4810},[94],{"categories":4812},[163],{"categories":4814},[516],{"categories":4816},[137],{"categories":4818},[145],{"categories":4820},[137],{"categories":4822},[137],{"categories":4824},[],{"categories":4826},[137,163],{"categories":4828},[188],{"categories":4830},[94],{"categories":4832},[163],{"categories":4834},[94],{"categories":4836},[1019],{"categories":4838},[163],{"categories":4840},[163],{"categories":4842},[94],{"categories":4844},[137],{"categories":4846},[140],{"categories":4848},[137],{"categories":4850},[],{"categories":4852},[],{"categories":4854},[94],{"categories":4856},[137],{"categories":4858},[163],{"categories":4860},[94],{"categories":4862},[137],{"categories":4864},[140],{"categories":4866},[163],{"categories":4868},[163],{"categories":4870},[137],{"categories":4872},[278],{"categories":4874},[137],{"categories":4876},[137],{"categories":4878},[163],{"categories":4880},[137],{"categories":4882},[],{"categories":4884},[137],{"categories":4886},[137],{"categories":4888},[243,137],{"categories":4890},[321],{"categories":4892},[140],{"categories":4894},[137],{"categories":4896},[],{"categories":4898},[137],{"categories":4900},[137],{"categories":4902},[145],{"categories":4904},[137],{"categories":4906},[145],{"categories":4908},[137],{"categories":4910},[137],{"categories":4912},[431],{"categories":4914},[137],{"categories":4916},[145],{"categories":4918},[163],{"categories":4920},[166],{"categories":4922},[94],{"categories":4924},[137],{"categories":4926},[163],{"categories":4928},[137],{"categories":4930},[137],{"categories":4932},[188],{"categories":4934},[137],{"categories":4936},[278],{"categories":4938},[243],{"categories":4940},[137],{"categories":4942},[137],{"categories":4944},[152],{"categories":4946},[137],{"categories":4948},[137],{"categories":4950},[140],{"categories":4952},[137],{"categories":4954},[94],{"categories":4956},[94],{"categories":4958},[163],{"categories":4960},[137],{"categories":4962},[188],{"categories":4964},[163],{"categories":4966},[163],{"categories":4968},[137],{"categories":4970},[137],{"categories":4972},[],{"categories":4974},[],{"categories":4976},[166],{"categories":4978},[137],{"categories":4980},[163],{"categories":4982},[137],{"categories":4984},[243],{"categories":4986},[516],{"categories":4988},[454],{"categories":4990},[431],{"categories":4992},[137],{"categories":4994},[137],{"categories":4996},[163],{"categories":4998},[137],{"categories":5000},[166],{"categories":5002},[137],{"categories":5004},[137],{"categories":5006},[137],{"categories":5008},[137],{"categories":5010},[137],{"categories":5012},[137],{"categories":5014},[137],{"categories":5016},[94],{"categories":5018},[140],{"categories":5020},[152],{"categories":5022},[94],{"categories":5024},[137,145],{"categories":5026},[],{"categories":5028},[243],{"categories":5030},[],{"categories":5032},[152],{"categories":5034},[137],{"categories":5036},[188],{"categories":5038},[140],{"categories":5040},[137],{"categories":5042},[152],{"categories":5044},[140],{"categories":5046},[94],{"categories":5048},[166],{"categories":5050},[94],{"categories":5052},[145],{"categories":5054},[152],{"categories":5056},[137],{"categories":5058},[94],{"categories":5060},[137],{"categories":5062},[152],{"categories":5064},[137],{"categories":5066},[137],{"categories":5068},[145],{"categories":5070},[94],{"categories":5072},[163],{"categories":5074},[278],{"categories":5076},[137],{"categories":5078},[137],{"categories":5080},[],{"categories":5082},[188],{"categories":5084},[137],{"categories":5086},[137],{"categories":5088},[137],{"categories":5090},[137],{"categories":5092},[137],{"categories":5094},[137],{"categories":5096},[163],{"categories":5098},[188],{"categories":5100},[163],{"categories":5102},[163],{"categories":5104},[137],{"categories":5106},[137],{"categories":5108},[137],{"categories":5110},[137],{"categories":5112},[454],{"categories":5114},[137],{"categories":5116},[94],{"categories":5118},[94],{"categories":5120},[188],{"categories":5122},[137],{"categories":5124},[137],{"categories":5126},[137],{"categories":5128},[94],{"categories":5130},[137],{"categories":5132},[137],{"categories":5134},[137],{"categories":5136},[3557],{"categories":5138},[5139],"Clinical AI",{"categories":5141},[243],{"categories":5143},[137],{"categories":5145},[137],{"categories":5147},[137],{"categories":5149},[137],{"categories":5151},[321],{"categories":5153},[2828],{"categories":5155},[137],{"categories":5157},[152],{"categories":5159},[243],{"categories":5161},[137],{"categories":5163},[94],{"categories":5165},[137],{"categories":5167},[137],{"categories":5169},[188],{"categories":5171},[137],{"categories":5173},[94],{"categories":5175},[163],{"categories":5177},[278],{"categories":5179},[137],{"categories":5181},[137],{"categories":5183},[145],{"categories":5185},[137],{"categories":5187},[137],{"categories":5189},[585],{"categories":5191},[137],{"categories":5193},[],{"categories":5195},[94],{"categories":5197},[137],{"categories":5199},[163],{"categories":5201},[140],{"categories":5203},[137],{"categories":5205},[],{"categories":5207},[],{"categories":5209},[137],{"categories":5211},[],{"categories":5213},[145],{"categories":5215},[137],{"categories":5217},[94],{"categories":5219},[137],{"categories":5221},[94],{"categories":5223},[94],{"categories":5225},[137],{"categories":5227},[188],{"categories":5229},[188],{"categories":5231},[188],{"categories":5233},[188],{"categories":5235},[],{"categories":5237},[140],{"categories":5239},[94],{"categories":5241},[188],{"categories":5243},[137],{"categories":5245},[660],{"categories":5247},[152],{"categories":5249},[94],{"categories":5251},[137],{"categories":5253},[140],{"categories":5255},[137],{"categories":5257},[94],{"categories":5259},[137],{"categories":5261},[137],{"categories":5263},[137],{"categories":5265},[137],{"categories":5267},[137],{"categories":5269},[137,94],{"categories":5271},[94],{"categories":5273},[321],{"categories":5275},[137],{"categories":5277},[188],{"categories":5279},[94],{"categories":5281},[188],{"categories":5283},[94],{"categories":5285},[137],{"categories":5287},[],{"categories":5289},[188],{"categories":5291},[278],{"categories":5293},[140],{"categories":5295},[137],{"categories":5297},[137],{"categories":5299},[],{"categories":5301},[163],{"categories":5303},[],{"categories":5305},[140],{"categories":5307},[94],{"categories":5309},[188],{"categories":5311},[137],{"categories":5313},[188],{"categories":5315},[140],{"categories":5317},[188],{"categories":5319},[188],{"categories":5321},[],{"categories":5323},[145],{"categories":5325},[94],{"categories":5327},[188],{"categories":5329},[188],{"categories":5331},[188],{"categories":5333},[188],{"categories":5335},[188],{"categories":5337},[188],{"categories":5339},[188],{"categories":5341},[188],{"categories":5343},[188],{"categories":5345},[188],{"categories":5347},[166],{"categories":5349},[140],{"categories":5351},[137],{"categories":5353},[137],{"categories":5355},[94],{"categories":5357},[94],{"categories":5359},[],{"categories":5361},[137],{"categories":5363},[137,140],{"categories":5365},[],{"categories":5367},[94],{"categories":5369},[137],{"categories":5371},[188],{"categories":5373},[94],{"categories":5375},[94],{"categories":5377},[1019],{"categories":5379},[137],{"categories":5381},[137],{"categories":5383},[137],{"categories":5385},[137],{"categories":5387},[152],{"categories":5389},[137],{"categories":5391},[137],{"categories":5393},[431],{"categories":5395},[137],{"categories":5397},[137],{"categories":5399},[94],{"categories":5401},[137],{"categories":5403},[137],{"categories":5405},[137],{"categories":5407},[137],{"categories":5409},[145],{"categories":5411},[152],{"categories":5413},[94],{"categories":5415},[94],{"categories":5417},[],{"categories":5419},[94],{"categories":5421},[243],{"categories":5423},[188],{"categories":5425},[137],{"categories":5427},[],{"categories":5429},[137],{"categories":5431},[152],{"categories":5433},[152],{"categories":5435},[],{"categories":5437},[163],{"categories":5439},[137],{"categories":5441},[94],{"categories":5443},[243],{"categories":5445},[137],{"categories":5447},[137],{"categories":5449},[],{"categories":5451},[137],{"categories":5453},[137],{"categories":5455},[],{"categories":5457},[278],{"categories":5459},[137],{"categories":5461},[94],{"categories":5463},[],{"categories":5465},[],{"categories":5467},[137],{"categories":5469},[188],{"categories":5471},[140],{"categories":5473},[137],{"categories":5475},[137],{"categories":5477},[145],{"categories":5479},[137],{"categories":5481},[137],{"categories":5483},[94],{"categories":5485},[137],{"categories":5487},[145],{"categories":5489},[145],{"categories":5491},[243],{"categories":5493},[],{"categories":5495},[137],{"categories":5497},[145],{"categories":5499},[188],{"categories":5501},[],{"categories":5503},[137],{"categories":5505},[137],{"categories":5507},[243],{"categories":5509},[137],{"categories":5511},[137],{"categories":5513},[278],{"categories":5515},[137],{"categories":5517},[321],{"categories":5519},[],{"categories":5521},[94],{"categories":5523},[137],{"categories":5525},[278],{"categories":5527},[163],{"categories":5529},[],{"categories":5531},[137],{"categories":5533},[],{"categories":5535},[94],{"categories":5537},[243],{"categories":5539},[163],{"categories":5541},[],{"categories":5543},[3557],{"categories":5545},[145],{"categories":5547},[140],{"categories":5549},[137],{"categories":5551},[94],{"categories":5553},[166],{"categories":5555},[94],{"categories":5557},[137],{"categories":5559},[243],{"categories":5561},[137],{"categories":5563},[137],{"categories":5565},[163],{"categories":5567},[],{"categories":5569},[],{"categories":5571},[137],{"categories":5573},[140],{"categories":5575},[137],{"categories":5577},[278],{"categories":5579},[],{"categories":5581},[94],{"categories":5583},[94],{"categories":5585},[137],{"categories":5587},[94],{"categories":5589},[137],{"categories":5591},[188],{"categories":5593},[137],{"categories":5595},[163],{"categories":5597},[137],{"categories":5599},[137],{"categories":5601},[94],{"categories":5603},[152],{"categories":5605},[137],{"categories":5607},[137],{"categories":5609},[137],{"categories":5611},[137],{"categories":5613},[94],{"categories":5615},[137],{"categories":5617},[152],{"categories":5619},[278],{"categories":5621},[188],{"categories":5623},[],{"categories":5625},[278],{"categories":5627},[137],{"categories":5629},[],{"categories":5631},[163],{"categories":5633},[94],{"categories":5635},[],{"categories":5637},[137],{"categories":5639},[137],{"categories":5641},[137],{"categories":5643},[137],{"categories":5645},[137],{"categories":5647},[94],{"categories":5649},[145],{"categories":5651},[140],{"categories":5653},[137],{"categories":5655},[137],{"categories":5657},[94],{"categories":5659},[137],{"categories":5661},[243],{"categories":5663},[163],{"categories":5665},[163],{"categories":5667},[137],{"categories":5669},[166],{"categories":5671},[94],{"categories":5673},[137],{"categories":5675},[137],{"categories":5677},[94],{"categories":5679},[137],{"categories":5681},[137],{"categories":5683},[137],{"categories":5685},[94],{"categories":5687},[145],{"categories":5689},[137],{"categories":5691},[243],{"categories":5693},[163],{"categories":5695},[94],{"categories":5697},[137],{"categories":5699},[152],{"categories":5701},[137],{"categories":5703},[152],{"categories":5705},[94],{"categories":5707},[137],{"categories":5709},[137],{"categories":5711},[188],{"categories":5713},[137],{"categories":5715},[],{"categories":5717},[140],{"categories":5719},[137],{"categories":5721},[137],{"categories":5723},[137],{"categories":5725},[163],{"categories":5727},[163],{"categories":5729},[137],{"categories":5731},[163],{"categories":5733},[137],{"categories":5735},[94],{"categories":5737},[137],{"categories":5739},[137],{"categories":5741},[137],{"categories":5743},[137],{"categories":5745},[137],{"categories":5747},[],{"categories":5749},[137],{"categories":5751},[243],{"categories":5753},[94],{"categories":5755},[145],{"categories":5757},[188],{"categories":5759},[137],{"categories":5761},[94],{"categories":5763},[137],{"categories":5765},[94],{"categories":5767},[137],{"categories":5769},[137],{"categories":5771},[243],{"categories":5773},[94],{"categories":5775},[137],{"categories":5777},[278],{"categories":5779},[145],{"categories":5781},[137],{"categories":5783},[166],{"categories":5785},[137],{"categories":5787},[94],{"categories":5789},[137],{"categories":5791},[188],{"categories":5793},[137],{"categories":5795},[137],{"categories":5797},[137],{"categories":5799},[137],{"categories":5801},[94],{"categories":5803},[321],{"categories":5805},[137],{"categories":5807},[163],{"categories":5809},[94],{"categories":5811},[166],{"categories":5813},[],{"categories":5815},[94],{"categories":5817},[163],{"categories":5819},[137],{"categories":5821},[137],{"categories":5823},[137],{"categories":5825},[2648],{"categories":5827},[137],{"categories":5829},[243],{"categories":5831},[358],{"categories":5833},[137],{"categories":5835},[137],{"categories":5837},[137],{"categories":5839},[137],{"categories":5841},[137],{"categories":5843},[140],{"categories":5845},[94],{"categories":5847},[137],{"categories":5849},[137],{"categories":5851},[163],{"categories":5853},[145],{"categories":5855},[137],{"categories":5857},[137],{"categories":5859},[163],{"categories":5861},[137],{"categories":5863},[],{"categories":5865},[94],{"categories":5867},[94],{"categories":5869},[137],{"categories":5871},[137],{"categories":5873},[137],{"categories":5875},[166],{"categories":5877},[],{"categories":5879},[188],{"categories":5881},[],{"categories":5883},[188],{"categories":5885},[137],{"categories":5887},[137],{"categories":5889},[137],{"categories":5891},[94],{"categories":5893},[137],{"categories":5895},[94],{"categories":5897},[94],{"categories":5899},[],{"categories":5901},[137],{"categories":5903},[188],{"categories":5905},[137],{"categories":5907},[],{"categories":5909},[137],{"categories":5911},[243],{"categories":5913},[137],{"categories":5915},[],{"categories":5917},[137],{"categories":5919},[137],{"categories":5921},[243],{"categories":5923},[163],{"categories":5925},[94],{"categories":5927},[137],{"categories":5929},[137],{"categories":5931},[137],{"categories":5933},[137],{"categories":5935},[137],{"categories":5937},[278],{"categories":5939},[137],{"categories":5941},[137],{"categories":5943},[137],{"categories":5945},[140],{"categories":5947},[137],{"categories":5949},[137],{"categories":5951},[],{"categories":5953},[137],{"categories":5955},[137],{"categories":5957},[137],{"categories":5959},[],{"categories":5961},[94],{"categories":5963},[140],{"categories":5965},[137],{"categories":5967},[137],{"categories":5969},[137],{"categories":5971},[94],{"categories":5973},[137],{"categories":5975},[188],{"categories":5977},[137],{"categories":5979},[163],{"categories":5981},[152],{"categories":5983},[94],{"categories":5985},[516],{"categories":5987},[137],{"categories":5989},[137],{"categories":5991},[137],{"categories":5993},[137],{"categories":5995},[163],{"categories":5997},[188],{"categories":5999},[243],{"categories":6001},[137],{"categories":6003},[137],{"categories":6005},[137],{"categories":6007},[137],{"categories":6009},[137],{"categories":6011},[137],{"categories":6013},[188],{"categories":6015},[137],{"categories":6017},[243],{"categories":6019},[137],{"categories":6021},[137],{"categories":6023},[188],{"categories":6025},[243],{"categories":6027},[137],{"categories":6029},[188],{"categories":6031},[137],{"categories":6033},[94],{"categories":6035},[94],{"categories":6037},[94],{"categories":6039},[137],{"categories":6041},[163],{"categories":6043},[188],{"categories":6045},[94],{"categories":6047},[94],{"categories":6049},[137],{"categories":6051},[163],{"categories":6053},[243],{"categories":6055},[137],{"categories":6057},[137],{"categories":6059},[94],{"categories":6061},[137],{"categories":6063},[],{"categories":6065},[94],{"categories":6067},[],{"categories":6069},[137],{"categories":6071},[137],{"categories":6073},[],{"categories":6075},[],{"categories":6077},[94],{"categories":6079},[145],{"categories":6081},[94],{"categories":6083},[6084],"Liability & Ethics",{"categories":6086},[137],{"categories":6088},[137],{"categories":6090},[137],{"categories":6092},[94],{"categories":6094},[140],{"categories":6096},[94],{"categories":6098},[145],{"categories":6100},[278],{"categories":6102},[137],{"categories":6104},[94],{"categories":6106},[137],{"categories":6108},[137],{"categories":6110},[137],{"categories":6112},[],{"categories":6114},[633],{"categories":6116},[94],{"categories":6118},[],{"categories":6120},[137],{"categories":6122},[140],{"categories":6124},[94],{"categories":6126},[137],{"categories":6128},[],{"categories":6130},[94],{"categories":6132},[137],{"categories":6134},[137],{"categories":6136},[163],{"categories":6138},[137],{"categories":6140},[188],{"categories":6142},[137],{"categories":6144},[137],{"categories":6146},[152],{"categories":6148},[137],{"categories":6150},[94],{"categories":6152},[137],{"categories":6154},[137],{"categories":6156},[137],{"categories":6158},[188],{"categories":6160},[94],{"categories":6162},[163],{"categories":6164},[243],{"categories":6166},[140],{"categories":6168},[137],{"categories":6170},[137],{"categories":6172},[137],{"categories":6174},[],{"categories":6176},[94],{"categories":6178},[94],{"categories":6180},[94],{"categories":6182},[516],{"categories":6184},[94],{"categories":6186},[243],{"categories":6188},[94],{"categories":6190},[321],{"categories":6192},[163],{"categories":6194},[188],{"categories":6196},[137],{"categories":6198},[243],{"categories":6200},[137],{"categories":6202},[140],{"categories":6204},[137],{"categories":6206},[],{"categories":6208},[137],{"categories":6210},[94],{"categories":6212},[137],{"categories":6214},[137],{"categories":6216},[137],{"categories":6218},[137],{"categories":6220},[94],{"categories":6222},[137],{"categories":6224},[137],{"categories":6226},[243],{"categories":6228},[94],{"categories":6230},[],{"categories":6232},[94],{"categories":6234},[152],{"categories":6236},[137],{"categories":6238},[188],{"categories":6240},[94],{"categories":6242},[145],{"categories":6244},[],{"categories":6246},[137],{"categories":6248},[137],{"categories":6250},[152],{"categories":6252},[137],{"categories":6254},[94],{"categories":6256},[188],{"categories":6258},[140],{"categories":6260},[321],{"categories":6262},[137],{"categories":6264},[137],{"categories":6266},[137],{"categories":6268},[188],{"categories":6270},[145],{"categories":6272},[137],{"categories":6274},[243],{"categories":6276},[188],{"categories":6278},[321],{"categories":6280},[137],{"categories":6282},[94],{"categories":6284},[],{"categories":6286},[585],{"categories":6288},[],{"categories":6290},[137],{"categories":6292},[321],{"categories":6294},[137],{"categories":6296},[166],{"categories":6298},[137],{"categories":6300},[94],{"categories":6302},[94],{"categories":6304},[6305],"Design News & Tools",{"categories":6307},[137],{"categories":6309},[137],{"categories":6311},[188],{"categories":6313},[137],{"categories":6315},[137],{"categories":6317},[137],{"categories":6319},[140],{"categories":6321},[94],{"categories":6323},[137],{"categories":6325},[243],{"categories":6327},[94],{"categories":6329},[94],{"categories":6331},[243],{"categories":6333},[137],{"categories":6335},[137],{"categories":6337},[137],{"categories":6339},[516],{"categories":6341},[94],{"categories":6343},[137],{"categories":6345},[94],{"categories":6347},[137],{"categories":6349},[137],{"categories":6351},[516],{"categories":6353},[137],{"categories":6355},[278],{"categories":6357},[137],{"categories":6359},[94],{"categories":6361},[94],{"categories":6363},[],{"categories":6365},[137],{"categories":6367},[137],{"categories":6369},[137],{"categories":6371},[188],{"categories":6373},[137],{"categories":6375},[140],{"categories":6377},[],{"categories":6379},[137],{"categories":6381},[137],{"categories":6383},[137],{"categories":6385},[163],{"categories":6387},[660],{"categories":6389},[163],{"categories":6391},[243],{"categories":6393},[137],{"categories":6395},[137,94],{"categories":6397},[278,145],{"categories":6399},[163],{"categories":6401},[137],{"categories":6403},[137],{"categories":6405},[137],{"categories":6407},[137],{"categories":6409},[],{"categories":6411},[163],{"categories":6413},[94],{"categories":6415},[137],{"categories":6417},[137],{"categories":6419},[],{"categories":6421},[137],{"categories":6423},[163],{"categories":6425},[137],{"categories":6427},[163],{"categories":6429},[137],{"categories":6431},[],{"categories":6433},[94],{"categories":6435},[137],{"categories":6437},[145],{"categories":6439},[137],{"categories":6441},[188],{"categories":6443},[137],{"categories":6445},[],{"categories":6447},[137],{"categories":6449},[94],{"categories":6451},[137],{"categories":6453},[],{"categories":6455},[243],{"categories":6457},[137],{"categories":6459},[137],{"categories":6461},[94],{"categories":6463},[137],{"categories":6465},[137],{"categories":6467},[137],{"categories":6469},[140],{"categories":6471},[137],{"categories":6473},[94],{"categories":6475},[137],{"categories":6477},[],{"categories":6479},[137],{"categories":6481},[321],{"categories":6483},[278],{"categories":6485},[145],{"categories":6487},[145],{"categories":6489},[137],{"categories":6491},[137],{"categories":6493},[140],{"categories":6495},[140],{"categories":6497},[137],{"categories":6499},[94],{"categories":6501},[137],{"categories":6503},[137],{"categories":6505},[137],{"categories":6507},[137],{"categories":6509},[163],{"categories":6511},[137],{"categories":6513},[140],{"categories":6515},[137],{"categories":6517},[137],{"categories":6519},[94],{"categories":6521},[137],{"categories":6523},[278],{"categories":6525},[137],{"categories":6527},[188],{"categories":6529},[137],{"categories":6531},[137],{"categories":6533},[94],{"categories":6535},[152],{"categories":6537},[137],{"categories":6539},[94],{"categories":6541},[137],{"categories":6543},[94],{"categories":6545},[],{"categories":6547},[163],{"categories":6549},[],{"categories":6551},[163],{"categories":6553},[94],{"categories":6555},[140],{"categories":6557},[137],{"categories":6559},[],{"categories":6561},[166],{"categories":6563},[321],{"categories":6565},[137],{"categories":6567},[163],{"categories":6569},[137],{"categories":6571},[],{"categories":6573},[188],{"categories":6575},[94],{"categories":6577},[163],{"categories":6579},[243],{"categories":6581},[145],{"categories":6583},[137],{"categories":6585},[137],{"categories":6587},[94],{"categories":6589},[163],{"categories":6591},[94],{"categories":6593},[188],{"categories":6595},[137],{"categories":6597},[152],{"categories":6599},[140],{"categories":6601},[152],{"categories":6603},[188],{"categories":6605},[137],{"categories":6607},[137],{"categories":6609},[163],{"categories":6611},[137],{"categories":6613},[243],{"categories":6615},[145],{"categories":6617},[137],{"categories":6619},[137],{"categories":6621},[137],{"categories":6623},[137],{"categories":6625},[137],{"categories":6627},[137],{"categories":6629},[94],{"categories":6631},[137],{"categories":6633},[137],{"categories":6635},[137],{"categories":6637},[94],{"categories":6639},[137],{"categories":6641},[137],{"categories":6643},[140],{"categories":6645},[137],{"categories":6647},[94],{"categories":6649},[94],{"categories":6651},[243],{"categories":6653},[94],{"categories":6655},[137],{"categories":6657},[94],{"categories":6659},[137],{"categories":6661},[140],{"categories":6663},[94],{"categories":6665},[243],{"categories":6667},[],{"categories":6669},[137],{"categories":6671},[166],{"categories":6673},[516],{"categories":6675},[137],{"categories":6677},[94],{"categories":6679},[137],{"categories":6681},[137],{"categories":6683},[163],{"categories":6685},[137],{"categories":6687},[],{"categories":6689},[137],{"categories":6691},[94],{"categories":6693},[145],{"categories":6695},[137],{"categories":6697},[278],{"categories":6699},[243],{"categories":6701},[137],{"categories":6703},[163],{"categories":6705},[137],{"categories":6707},[137],{"categories":6709},[188],{"categories":6711},[94],{"categories":6713},[137],{"categories":6715},[278],{"categories":6717},[94],{"categories":6719},[145],{"categories":6721},[145],{"categories":6723},[137],{"categories":6725},[137],{"categories":6727},[137],{"categories":6729},[137],{"categories":6731},[137],{"categories":6733},[137],{"categories":6735},[140],{"categories":6737},[137],{"categories":6739},[],{"categories":6741},[137],{"categories":6743},[137],{"categories":6745},[94],{"categories":6747},[137],{"categories":6749},[94],{"categories":6751},[137],{"categories":6753},[137],{"categories":6755},[137],{"categories":6757},[137],{"categories":6759},[137],{"categories":6761},[137],{"categories":6763},[163],{"categories":6765},[],{"categories":6767},[140],{"categories":6769},[137],{"categories":6771},[137],{"categories":6773},[94],{"categories":6775},[94],{"categories":6777},[],{"categories":6779},[163],{"categories":6781},[163],{"categories":6783},[137],{"categories":6785},[278],{"categories":6787},[145],{"categories":6789},[243],{"categories":6791},[137],{"categories":6793},[],{"categories":6795},[137],{"categories":6797},[94],{"categories":6799},[140],{"categories":6801},[137],{"categories":6803},[137],{"categories":6805},[163],{"categories":6807},[140],{"categories":6809},[137],{"categories":6811},[137],{"categories":6813},[188],{"categories":6815},[166],{"categories":6817},[137],{"categories":6819},[188],{"categories":6821},[137],{"categories":6823},[94],{"categories":6825},[137],{"categories":6827},[137],{"categories":6829},[],{"categories":6831},[188],{"categories":6833},[94],{"categories":6835},[243],{"categories":6837},[166],{"categories":6839},[137],{"categories":6841},[137],{"categories":6843},[137],{"categories":6845},[],{"categories":6847},[94],{"categories":6849},[94],{"categories":6851},[94],{"categories":6853},[3557],{"categories":6855},[188],{"categories":6857},[137],{"categories":6859},[163],{"categories":6861},[152],{"categories":6863},[137],{"categories":6865},[137],{"categories":6867},[137],{"categories":6869},[137],{"categories":6871},[137],{"categories":6873},[94],{"categories":6875},[137],{"categories":6877},[145],{"categories":6879},[137],{"categories":6881},[140],{"categories":6883},[2022],{"categories":6885},[321],{"categories":6887},[140],{"categories":6889},[],{"categories":6891},[152],{"categories":6893},[137],{"categories":6895},[],{"categories":6897},[137],{"categories":6899},[188],{"categories":6901},[94],{"categories":6903},[243],{"categories":6905},[137],{"categories":6907},[94],{"categories":6909},[137],{"categories":6911},[137],{"categories":6913},[137],{"categories":6915},[137],{"categories":6917},[188],{"categories":6919},[],{"categories":6921},[137],{"categories":6923},[94],{"categories":6925},[137],{"categories":6927},[94],{"categories":6929},[94],{"categories":6931},[],{"categories":6933},[137],{"categories":6935},[],{"categories":6937},[188],{"categories":6939},[140],{"categories":6941},[137],{"categories":6943},[243],{"categories":6945},[137],{"categories":6947},[94],{"categories":6949},[188],{"categories":6951},[137],{"categories":6953},[188],{"categories":6955},[],{"categories":6957},[188],{"categories":6959},[137],{"categories":6961},[140],{"categories":6963},[94],{"categories":6965},[516],{"categories":6967},[137],{"categories":6969},[94],{"categories":6971},[137],{"categories":6973},[],{"categories":6975},[163],{"categories":6977},[94],{"categories":6979},[152],{"categories":6981},[94],{"categories":6983},[137],{"categories":6985},[140],{"categories":6987},[137],{"categories":6989},[137],{"categories":6991},[],{"categories":6993},[],{"categories":6995},[],{"categories":6997},[243],{"categories":6999},[137],{"categories":7001},[94],{"categories":7003},[137],{"categories":7005},[137],{"categories":7007},[],{"categories":7009},[],{"categories":7011},[],{"categories":7013},[137],{"categories":7015},[94],{"categories":7017},[243],{"categories":7019},[137],{"categories":7021},[137],{"categories":7023},[],{"categories":7025},[94],{"categories":7027},[137],{"categories":7029},[137],{"categories":7031},[140],{"categories":7033},[],{"categories":7035},[],{"categories":7037},[137],{"categories":7039},[137],{"categories":7041},[137],{"categories":7043},[94],{"categories":7045},[243],{"categories":7047},[137],{"categories":7049},[188],{"categories":7051},[],{"categories":7053},[137],{"categories":7055},[137],{"categories":7057},[278],{"categories":7059},[188],{"categories":7061},[278],{"categories":7063},[163],{"categories":7065},[166],{"categories":7067},[137],{"categories":7069},[137],{"categories":7071},[],{"categories":7073},[],{"categories":7075},[94],{"categories":7077},[],{"categories":7079},[137],{"categories":7081},[516],{"categories":7083},[137],{"categories":7085},[137],{"categories":7087},[137],{"categories":7089},[137],{"categories":7091},[],{"categories":7093},[94],{"categories":7095},[137],{"categories":7097},[137],{"categories":7099},[],{"categories":7101},[94],{"categories":7103},[94],{"categories":7105},[137],{"categories":7107},[188],{"categories":7109},[137],{"categories":7111},[278],{"categories":7113},[137],{"categories":7115},[94],{"categories":7117},[145],{"categories":7119},[152],{"categories":7121},[137],{"categories":7123},[137],{"categories":7125},[94],{"categories":7127},[94],{"categories":7129},[166],{"categories":7131},[94],{"categories":7133},[94],{"categories":7135},[],{"categories":7137},[137],{"categories":7139},[94],{"categories":7141},[],{"categories":7143},[137],{"categories":7145},[],{"categories":7147},[188],{"categories":7149},[145],{"categories":7151},[],{"categories":7153},[137],{"categories":7155},[137],{"categories":7157},[137],{"categories":7159},[],{"categories":7161},[94],{"categories":7163},[243],{"categories":7165},[140],{"categories":7167},[137],{"categories":7169},[],{"categories":7171},[145],{"categories":7173},[278],{"categories":7175},[137],{"categories":7177},[163],{"categories":7179},[140],{"categories":7181},[166],{"categories":7183},[145],{"categories":7185},[163],{"categories":7187},[94],{"categories":7189},[163],{"categories":7191},[],{"categories":7193},[137],{"categories":7195},[152],{"categories":7197},[152],{"categories":7199},[137],{"categories":7201},[],{"categories":7203},[94],{"categories":7205},[94],{"categories":7207},[140],{"categories":7209},[243],{"categories":7211},[137],{"categories":7213},[137],{"categories":7215},[140],{"categories":7217},[94],{"categories":7219},[321],{"categories":7221},[137],{"categories":7223},[137],{"categories":7225},[137],{"categories":7227},[137],{"categories":7229},[137],{"categories":7231},[140],{"categories":7233},[137],{"categories":7235},[163],{"categories":7237},[166],{"categories":7239},[94],{"categories":7241},[],{"categories":7243},[137],{"categories":7245},[137],{"categories":7247},[137],{"categories":7249},[163],{"categories":7251},[94],{"categories":7253},[188],{"categories":7255},[163],{"categories":7257},[137],{"categories":7259},[152],{"categories":7261},[137],{"categories":7263},[],{"categories":7265},[243],{"categories":7267},[163],{"categories":7269},[188],{"categories":7271},[137],{"categories":7273},[137],{"categories":7275},[140],{"categories":7277},[94],{"categories":7279},[137],{"categories":7281},[137],{"categories":7283},[94],{"categories":7285},[152],{"categories":7287},[137],{"categories":7289},[94],{"categories":7291},[137],{"categories":7293},[145],{"categories":7295},[137],{"categories":7297},[94],{"categories":7299},[94,321],{"categories":7301},[137],{"categories":7303},[137],{"categories":7305},[94],{"categories":7307},[163],{"categories":7309},[137],{"categories":7311},[137],{"categories":7313},[137],{"categories":7315},[166],{"categories":7317},[94],{"categories":7319},[278],{"categories":7321},[94],{"categories":7323},[145],{"categories":7325},[],{"categories":7327},[94],{"categories":7329},[137],{"categories":7331},[145],{"categories":7333},[],{"categories":7335},[],{"categories":7337},[137],{"categories":7339},[163],{"categories":7341},[137],{"categories":7343},[137],{"categories":7345},[137],{"categories":7347},[94],{"categories":7349},[137],{"categories":7351},[166],{"categories":7353},[278],{"categories":7355},[137],{"categories":7357},[137],{"categories":7359},[137],{"categories":7361},[137],{"categories":7363},[94],{"categories":7365},[],{"categories":7367},[94],{"categories":7369},[188],{"categories":7371},[137],{"categories":7373},[94],{"categories":7375},[94],{"categories":7377},[137],{"categories":7379},[],{"categories":7381},[188],{"categories":7383},[163],{"categories":7385},[3557],{"categories":7387},[140],{"categories":7389},[163],{"categories":7391},[137],{"categories":7393},[94],{"categories":7395},[137],{"categories":7397},[137],{"categories":7399},[278],{"categories":7401},[163],{"categories":7403},[166],{"categories":7405},[],{"categories":7407},[188],{"categories":7409},[137],{"categories":7411},[137],{"categories":7413},[],{"categories":7415},[94],{"categories":7417},[137],{"categories":7419},[137],{"categories":7421},[137],{"categories":7423},[137],{"categories":7425},[94],{"categories":7427},[137],{"categories":7429},[137],{"categories":7431},[137],{"categories":7433},[137],{"categories":7435},[137],{"categories":7437},[152],{"categories":7439},[137],{"categories":7441},[94],{"categories":7443},[137],{"categories":7445},[137],{"categories":7447},[137],{"categories":7449},[137],{"categories":7451},[137],{"categories":7453},[137],{"categories":7455},[137],{"categories":7457},[145],{"categories":7459},[],{"categories":7461},[152],{"categories":7463},[137],{"categories":7465},[188],{"categories":7467},[94],{"categories":7469},[137],{"categories":7471},[163],{"categories":7473},[],{"categories":7475},[163],{"categories":7477},[163],{"categories":7479},[94],{"categories":7481},[163],{"categories":7483},[137],{"categories":7485},[137],{"categories":7487},[137],{"categories":7489},[94],{"categories":7491},[163],{"categories":7493},[137],{"categories":7495},[137],{"categories":7497},[137],{"categories":7499},[94],{"categories":7501},[188],{"categories":7503},[137],{"categories":7505},[137],{"categories":7507},[137],{"categories":7509},[145],{"categories":7511},[137],{"categories":7513},[94],{"categories":7515},[243],{"categories":7517},[],{"categories":7519},[137],{"categories":7521},[137],{"categories":7523},[166],{"categories":7525},[137],{"categories":7527},[94],{"categories":7529},[137],{"categories":7531},[137],{"categories":7533},[],{"categories":7535},[137],{"categories":7537},[137],{"categories":7539},[188],{"categories":7541},[137],{"categories":7543},[137],{"categories":7545},[94],{"categories":7547},[278],{"categories":7549},[],{"categories":7551},[],{"categories":7553},[163],{"categories":7555},[137],{"categories":7557},[137],{"categories":7559},[152],{"categories":7561},[188],{"categories":7563},[137],{"categories":7565},[163],{"categories":7567},[188],{"categories":7569},[137],{"categories":7571},[137],{"categories":7573},[278],{"categories":7575},[166],{"categories":7577},[137],{"categories":7579},[137],{"categories":7581},[140],{"categories":7583},[94],{"categories":7585},[137],{"categories":7587},[137],{"categories":7589},[94],{"categories":7591},[145],{"categories":7593},[94],{"categories":7595},[163],{"categories":7597},[137],{"categories":7599},[145],{"categories":7601},[],{"categories":7603},[137],{"categories":7605},[166],{"categories":7607},[137],{"categories":7609},[137],{"categories":7611},[],{"categories":7613},[188],{"categories":7615},[137],{"categories":7617},[94],{"categories":7619},[166],{"categories":7621},[137],{"categories":7623},[163],{"categories":7625},[163],{"categories":7627},[163],{"categories":7629},[137],{"categories":7631},[94],{"categories":7633},[94],{"categories":7635},[137],{"categories":7637},[94],{"categories":7639},[137],{"categories":7641},[137],{"categories":7643},[243],{"categories":7645},[166],{"categories":7647},[166],{"categories":7649},[],{"categories":7651},[188],{"categories":7653},[137],{"categories":7655},[137],{"categories":7657},[163],{"categories":7659},[],{"categories":7661},[188],{"categories":7663},[188],{"categories":7665},[188],{"categories":7667},[],{"categories":7669},[94],{"categories":7671},[137],{"categories":7673},[],{"categories":7675},[140],{"categories":7677},[145],{"categories":7679},[],{"categories":7681},[137],{"categories":7683},[137],{"categories":7685},[],{"categories":7687},[163],{"categories":7689},[],{"categories":7691},[],{"categories":7693},[],{"categories":7695},[],{"categories":7697},[137],{"categories":7699},[188],{"categories":7701},[],{"categories":7703},[],{"categories":7705},[137],{"categories":7707},[137],{"categories":7709},[137],{"categories":7711},[166],{"categories":7713},[137],{"categories":7715},[166],{"categories":7717},[],{"categories":7719},[166],{"categories":7721},[166],{"categories":7723},[321],{"categories":7725},[94],{"categories":7727},[163],{"categories":7729},[],{"categories":7731},[],{"categories":7733},[166],{"categories":7735},[163],{"categories":7737},[163],{"categories":7739},[163],{"categories":7741},[],{"categories":7743},[140],{"categories":7745},[163],{"categories":7747},[163],{"categories":7749},[140],{"categories":7751},[163],{"categories":7753},[145],{"categories":7755},[163],{"categories":7757},[163],{"categories":7759},[163],{"categories":7761},[166],{"categories":7763},[188],{"categories":7765},[188],{"categories":7767},[137],{"categories":7769},[163],{"categories":7771},[166],{"categories":7773},[321],{"categories":7775},[166],{"categories":7777},[166],{"categories":7779},[166],{"categories":7781},[],{"categories":7783},[145],{"categories":7785},[],{"categories":7787},[321],{"categories":7789},[163],{"categories":7791},[163],{"categories":7793},[163],{"categories":7795},[94],{"categories":7797},[188,145],{"categories":7799},[166],{"categories":7801},[],{"categories":7803},[],{"categories":7805},[166],{"categories":7807},[],{"categories":7809},[166],{"categories":7811},[188],{"categories":7813},[94],{"categories":7815},[],{"categories":7817},[163],{"categories":7819},[137],{"categories":7821},[243],{"categories":7823},[],{"categories":7825},[137],{"categories":7827},[],{"categories":7829},[188],{"categories":7831},[140],{"categories":7833},[166],{"categories":7835},[],{"categories":7837},[163],{"categories":7839},[188],[7841,7917,8026,8232],{"id":7842,"title":7843,"ai":7844,"body":7849,"categories":7898,"created_at":95,"date_modified":95,"description":87,"extension":96,"faq":95,"featured":97,"kicker_label":95,"meta":7899,"navigation":113,"path":7903,"published_at":7904,"question":95,"scraped_at":7905,"seo":7906,"sitemap":7907,"source_id":7908,"source_name":7909,"source_type":7910,"source_url":7911,"stem":7912,"tags":7913,"thumbnail_url":95,"tldr":7914,"tweet":95,"unknown_tags":7915,"__hash__":7916},"summaries\u002Fsummaries\u002F42070392ff3b49c9-consolidating-productivity-tools-into-a-single-pyt-summary.md","Consolidating Productivity Tools into a Single Python AI Agent",{"provider":7,"model":8,"input_tokens":7845,"output_tokens":7846,"processing_time_ms":7847,"cost_usd":7848},3921,426,3185,0.00161925,{"type":14,"value":7850,"toc":7894},[7851,7855,7858,7862,7865,7891],[17,7852,7854],{"id":7853},"the-problem-of-fragmented-productivity","The Problem of Fragmented Productivity",[22,7856,7857],{},"Managing a stack of 15+ productivity tools—ranging from note-taking and task management to meeting summaries and CRM systems—creates a 'tool tax.' Instead of saving time, the overhead of managing these disparate platforms, dealing with notification fatigue, and paying recurring subscription fees becomes a significant drain on productivity. The core issue is that these tools operate in silos, forcing the user to manually bridge the gap between information sources.",[17,7859,7861],{"id":7860},"building-a-unified-ai-employee","Building a Unified AI Employee",[22,7863,7864],{},"To solve this, the author advocates for building a custom, Python-based AI agent that acts as a central nervous system for digital workflows. This approach replaces multiple SaaS subscriptions with a single, self-hosted architecture. Key components include:",[26,7866,7867,7873,7879,7885],{},[29,7868,7869,7872],{},[32,7870,7871],{},"Local LLMs:"," By running models locally, you gain privacy and eliminate per-token costs associated with commercial APIs.",[29,7874,7875,7878],{},[32,7876,7877],{},"Vector Databases:"," These serve as the 'long-term memory' for the agent, allowing it to retrieve and synthesize information from scattered notes, documents, and bookmarks.",[29,7880,7881,7884],{},[32,7882,7883],{},"Automation Workflows:"," Using Python scripts to connect disparate data sources, the agent can perform tasks like scheduling, email management, and research without human intervention.",[29,7886,7887,7890],{},[32,7888,7889],{},"Smart Scheduling:"," The agent acts as an autonomous assistant, processing inputs 24\u002F7 to prioritize tasks and manage workflows based on the user's specific data.",[22,7892,7893],{},"By centralizing these functions, the agent eliminates the need for context switching between apps, ensuring that information is no longer trapped in isolated silos.",{"title":87,"searchDepth":88,"depth":88,"links":7895},[7896,7897],{"id":7853,"depth":88,"text":7854},{"id":7860,"depth":88,"text":7861},[94],{"content_references":7900,"triage":7901},[],{"relevance":109,"novelty":110,"quality":110,"actionability":109,"composite":111,"reasoning":7902},"Category: AI Automation. The article provides a detailed approach to building a Python-based AI agent that consolidates multiple productivity tools, addressing a common pain point of tool fragmentation. It offers actionable steps, such as using local LLMs and vector databases, making it highly relevant and practical for the target audience.","\u002Fsummaries\u002F42070392ff3b49c9-consolidating-productivity-tools-into-a-single-pyt-summary","2026-06-15 22:27:18","2026-06-16 12:56:48",{"title":7843,"description":87},{"loc":7903},"42070392ff3b49c9","Python in Plain English","article","https:\u002F\u002Fpython.plainenglish.io\u002Fi-built-a-python-ai-employee-that-replaced-15-different-productivity-apps-18021466981f?source=rss----78073def27b8---4","summaries\u002F42070392ff3b49c9-consolidating-productivity-tools-into-a-single-pyt-summary",[126,127,128,125],"Instead of managing 15 separate productivity subscriptions, build a unified Python-based AI agent that uses local LLMs, vector databases, and automation to handle tasks, notes, and research autonomously.",[],"dKxCjSceufPrWmjeuGzGQ3HOvrAUkouJjaUqmmgv63E",{"id":7918,"title":7919,"ai":7920,"body":7925,"categories":7999,"created_at":95,"date_modified":95,"description":87,"extension":96,"faq":95,"featured":97,"kicker_label":95,"meta":8000,"navigation":113,"path":8013,"published_at":8014,"question":95,"scraped_at":8015,"seo":8016,"sitemap":8017,"source_id":8018,"source_name":8019,"source_type":7910,"source_url":8020,"stem":8021,"tags":8022,"thumbnail_url":95,"tldr":8023,"tweet":95,"unknown_tags":8024,"__hash__":8025},"summaries\u002Fsummaries\u002F66e21506a21e4cba-building-presslens-using-llms-to-quantify-media-bi-summary.md","Building PressLens: Using LLMs to Quantify Media Bias",{"provider":7,"model":8,"input_tokens":7921,"output_tokens":7922,"processing_time_ms":7923,"cost_usd":7924},6398,620,2943,0.0025295,{"type":14,"value":7926,"toc":7994},[7927,7931,7934,7938,7946,7961,7964,7968,7971,7974],[17,7928,7930],{"id":7929},"quantifying-media-bias-with-structured-llm-analysis","Quantifying Media Bias with Structured LLM Analysis",[22,7932,7933],{},"PressLens moves beyond simple bias detection by asking what facts survive across conflicting narratives. The system evaluates news outlets across six dimensions: emotional tone, framing, source diversity, loaded language, political stance, and factual density. By enforcing a strict JSON schema for LLM outputs, the tool enables reliable data visualization, such as spider charts and comparative tables, which allow users to see how different outlets frame the same event.",[17,7935,7937],{"id":7936},"system-architecture-and-performance","System Architecture and Performance",[22,7939,7940,7941,7945],{},"The backend is built with FastAPI and uses ",[7942,7943,7944],"code",{},"asyncio.gather()"," to perform concurrent LLM calls, significantly reducing latency. To manage costs and improve performance, the system employs a two-stage reasoning pipeline:",[7947,7948,7949,7955],"ol",{},[29,7950,7951,7954],{},[32,7952,7953],{},"Bias Scoring:"," Individual outlets are analyzed against the six dimensions using structured outputs.",[29,7956,7957,7960],{},[32,7958,7959],{},"Neutral Synthesis:"," A separate LLM pass consumes the structured summaries from stage one to extract consensus facts and identify the sharpest narrative disagreements.",[22,7962,7963],{},"This separation ensures that the synthesis layer performs meta-analysis on structured data rather than raw text, improving reliability and cost efficiency. The system also includes a SQLite TTL cache to prevent redundant API calls for trending topics.",[17,7965,7967],{"id":7966},"the-challenge-of-consensus-and-neutrality","The Challenge of Consensus and Neutrality",[22,7969,7970],{},"The core philosophy of PressLens is that averaging bias scores is misleading; instead, the tool prioritizes extracting consensus while explicitly flagging outliers. For example, when analyzing the Ukraine-Russia war, the system identifies RT as an outlier due to fundamentally different framing, rather than attempting to manufacture false common ground.",[22,7972,7973],{},"However, the author notes critical limitations:",[26,7975,7976,7982,7988],{},[29,7977,7978,7981],{},[32,7979,7980],{},"Western Bias:"," LLMs are trained primarily on Western internet text, which inherently skews their definition of \"neutral\" toward Western editorial norms.",[29,7983,7984,7987],{},[32,7985,7986],{},"Stochastic Variance:"," Due to temperature settings, bias scores can fluctuate by ±1 point across different runs.",[29,7989,7990,7993],{},[32,7991,7992],{},"Simplification:"," The six chosen dimensions are optimized for UI legibility rather than exhaustive editorial analysis.",{"title":87,"searchDepth":88,"depth":88,"links":7995},[7996,7997,7998],{"id":7929,"depth":88,"text":7930},{"id":7936,"depth":88,"text":7937},{"id":7966,"depth":88,"text":7967},[94],{"content_references":8001,"triage":8009},[8002,8005],{"type":101,"title":8003,"url":8004,"context":104},"PressLens","https:\u002F\u002Fpresslens-production-3f0c.up.railway.app\u002F",{"type":8006,"title":8007,"url":8008,"context":104},"other","PressLens GitHub Repository","https:\u002F\u002Fgithub.com\u002FZhenna\u002Fpresslens-media-bias-analyzer",{"relevance":110,"novelty":8010,"quality":110,"actionability":8010,"composite":8011,"reasoning":8012},3,3.6,"Category: AI & LLMs. The article discusses a practical application of LLMs in analyzing media bias, which aligns with the audience's interest in AI-powered product development. It provides insights into the architecture and performance of the PressLens tool, but while it offers some actionable elements, it lacks detailed step-by-step guidance for implementation.","\u002Fsummaries\u002F66e21506a21e4cba-building-presslens-using-llms-to-quantify-media-bi-summary","2026-05-18 15:44:27","2026-05-18 19:00:35",{"title":7919,"description":87},{"loc":8013},"66e21506a21e4cba","Level Up Coding","https:\u002F\u002Flevelup.gitconnected.com\u002Fsame-war-different-stories-i-used-llms-to-analyze-media-bias-and-find-consensus-f90b12747c8f?source=rss----5517fd7b58a6---4","summaries\u002F66e21506a21e4cba-building-presslens-using-llms-to-quantify-media-bi-summary",[125,126,127,128],"PressLens is an LLM-powered tool that analyzes media bias across six dimensions and synthesizes neutral summaries by extracting consensus facts while preserving narrative disagreements.",[],"FEqq0aCU8JswQbd7-8JqMy2aQV-h-nWuyJReWnJdq-8",{"id":8027,"title":8028,"ai":8029,"body":8035,"categories":8209,"created_at":95,"date_modified":95,"description":87,"extension":96,"faq":95,"featured":97,"kicker_label":95,"meta":8210,"navigation":113,"path":8219,"published_at":8220,"question":95,"scraped_at":8221,"seo":8222,"sitemap":8223,"source_id":8224,"source_name":8225,"source_type":7910,"source_url":8226,"stem":8227,"tags":8228,"thumbnail_url":95,"tldr":8229,"tweet":95,"unknown_tags":8230,"__hash__":8231},"summaries\u002Fsummaries\u002Fdda274267b28157e-compliant-llm-clinical-pipelines-85-skip-llms-summary.md","Compliant LLM Clinical Pipelines: 85% Skip LLMs",{"provider":7,"model":8030,"input_tokens":8031,"output_tokens":8032,"processing_time_ms":8033,"cost_usd":8034},"x-ai\u002Fgrok-4.1-fast",7565,2429,25295,0.002705,{"type":14,"value":8036,"toc":8203},[8037,8041,8044,8051,8086,8089,8093,8104,8134,8141,8145,8152,8159,8162,8166,8189,8196,8199],[17,8038,8040],{"id":8039},"llm-as-lossy-parser-constrained-decoding-prevents-hallucinations","LLM as Lossy Parser: Constrained Decoding Prevents Hallucinations",[22,8042,8043],{},"Treat LLMs solely as schema-conformant parsers for unstructured clinical notes, not decision-makers. Compile Pydantic models into finite-state machines using Outlines or XGrammar to mask invalid tokens during generation, ensuring outputs like VitalSignCode enums (e.g., \"8867-4\") are always valid—no malformed JSON or hallucinations possible.",[22,8045,8046,8047,8050],{},"Make schemas permissive with Optional fields (e.g., ",[7942,8048,8049],{},"subject_id: str | None","), allowing the LLM to output blanks for uncertain data. This yields honest extractions: filled fields are valid; blanks trigger downstream Python logic or review. Example:",[8052,8053,8056],"pre",{"className":8054,"code":8055,"language":128,"meta":87,"style":87},"language-python shiki shiki-themes github-light github-dark","import outlines\nfrom schemas.observation import RawObservation\nmodel = outlines.models.transformers(\"mistralai\u002FMistral-7B-Instruct-v0.3\")\ngenerator = outlines.generate.json(model, RawObservation, sampler=outlines.samplers.greedy())\nraw_obs: RawObservation = generator(prompt, max_tokens=512)\n",[7942,8057,8058,8066,8071,8076,8081],{"__ignoreMap":87},[8059,8060,8063],"span",{"class":8061,"line":8062},"line",1,[8059,8064,8065],{},"import outlines\n",[8059,8067,8068],{"class":8061,"line":88},[8059,8069,8070],{},"from schemas.observation import RawObservation\n",[8059,8072,8073],{"class":8061,"line":8010},[8059,8074,8075],{},"model = outlines.models.transformers(\"mistralai\u002FMistral-7B-Instruct-v0.3\")\n",[8059,8077,8078],{"class":8061,"line":110},[8059,8079,8080],{},"generator = outlines.generate.json(model, RawObservation, sampler=outlines.samplers.greedy())\n",[8059,8082,8083],{"class":8061,"line":109},[8059,8084,8085],{},"raw_obs: RawObservation = generator(prompt, max_tokens=512)\n",[22,8087,8088],{},"Post-extraction, verify grounding by checking if emitted numerics\u002Fsubject_ids appear as substrings in source text, rejecting ungrounded outputs.",[17,8090,8092],{"id":8091},"deterministic-python-core-compute-and-validate-without-llms","Deterministic Python Core: Compute and Validate Without LLMs",[22,8094,8095,8096,8099,8100,8103],{},"Offload all logic to auditable Python: unit conversions (e.g., Fahrenheit to Celsius via ",[7942,8097,8098],{},"(F-32) × 5\u002F9","), LOINC lookups (dicts), plausibility checks (ranges like heart rate 40-200), and deduplication (SHA-1). Validators are named functions with stable ",[7942,8101,8102],{},"rule_id","s:",[8052,8105,8107],{"className":8054,"code":8106,"language":128,"meta":87,"style":87},"@rule(\"VS-003\", FindingSeverity.WARN, \"value_numeric\", \"Heart rate sanity range\")\ndef check_hr_range(obs: Observation, report: ValidationReport) -> None:\n    if obs.vs_code == VitalSignCode.HEART_RATE:\n        if not (40 \u003C= obs.value_numeric \u003C= 200):\n            report.add(ValidationFinding(rule_id=\"VS-003\", ...))\n",[7942,8108,8109,8114,8119,8124,8129],{"__ignoreMap":87},[8059,8110,8111],{"class":8061,"line":8062},[8059,8112,8113],{},"@rule(\"VS-003\", FindingSeverity.WARN, \"value_numeric\", \"Heart rate sanity range\")\n",[8059,8115,8116],{"class":8061,"line":88},[8059,8117,8118],{},"def check_hr_range(obs: Observation, report: ValidationReport) -> None:\n",[8059,8120,8121],{"class":8061,"line":8010},[8059,8122,8123],{},"    if obs.vs_code == VitalSignCode.HEART_RATE:\n",[8059,8125,8126],{"class":8061,"line":110},[8059,8127,8128],{},"        if not (40 \u003C= obs.value_numeric \u003C= 200):\n",[8059,8130,8131],{"class":8061,"line":109},[8059,8132,8133],{},"            report.add(ValidationFinding(rule_id=\"VS-003\", ...))\n",[22,8135,8136,8137,8140],{},"Validators flag ~15% of records via ",[7942,8138,8139],{},"needs_judge"," based on WARN\u002FERRORs, enabling bit-identical re-runs for audits.",[17,8142,8144],{"id":8143},"conditional-llm-judge-and-hitl-scale-safely-at-low-cost","Conditional LLM Judge and HITL: Scale Safely at Low Cost",[22,8146,8147,8148,8151],{},"Invoke a cheap judge (e.g., Claude Haiku) only on flagged records using constrained tool calls—85% skip at $0, 15% cost ~$0.001 each, netting $0.15\u002F1K records. Judge outputs must match JSON schema; low confidence (\u003C0.4) or ",[7942,8149,8150],{},"human_review"," routes to HITL.",[22,8153,8154,8155,8158],{},"HITL triggers: validator ERRORs (urgent), judge low confidence\u002Funavailable, or judge request—~2% of records. HITL uses append-only JSONL queues with ReviewPackets (input\u002Foutput side-by-side, findings, audit chain). Humans approve (ESignature), reject, or amend with controlled reason codes (e.g., ",[7942,8156,8157],{},"transcription_error","), preserving originals via hash-chained Amendments.",[22,8160,8161],{},"Run all LLMs at temperature=0.0 and fixed seed=42 for reproducibility.",[17,8163,8165],{"id":8164},"inherent-alcoa21-cfr-part-11-compliance-via-data-structures","Inherent ALCOA++\u002F21 CFR Part 11 Compliance via Data Structures",[22,8167,8168,8169,8172,8173,8176,8177,8180,8181,8184,8185,8188],{},"Every LLM-touched record logs ",[7942,8170,8171],{},"AuditEvent","s with input\u002Foutput hashes, excerpts, model snapshots (e.g., ",[7942,8174,8175],{},"mistralai\u002FMistral-7B-Instruct-v0.3",", ",[7942,8178,8179],{},"outlines==0.0.46",", prompt_hash), actor, UTC timestamp, and 7-year retention. Chain via ",[7942,8182,8183],{},"prev_hash","\u002F",[7942,8186,8187],{},"chain_hash"," for tamper-proof trails—regulators tail JSONL for audits.",[22,8190,8191,8192,8195],{},"Amendments link back (",[7942,8193,8194],{},"prev_chain_hash","), e-signatures bind full ReviewPackets. This satisfies ALCOA++ (Attributable, Legible, Contemporaneous, Original, Accurate +++) and Part 11 (§11.10 validation, §11.10(e) audit trails) in ~250 lines of Python, making traceability a hashed event stream, not documents.",[22,8197,8198],{},"Rejects agents for regulated domains: LLMs as components under Python\u002Fhuman authority, not drivers.",[8200,8201,8202],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":87,"searchDepth":88,"depth":88,"links":8204},[8205,8206,8207,8208],{"id":8039,"depth":88,"text":8040},{"id":8091,"depth":88,"text":8092},{"id":8143,"depth":88,"text":8144},{"id":8164,"depth":88,"text":8165},[94],{"content_references":8211,"triage":8216},[8212],{"type":101,"title":8213,"author":8214,"url":8215,"context":107},"dct_reconciler: Using LLM for healthcare data with ALCOA++ and 21 CFR Part 11 compliance","pranav08","https:\u002F\u002Fgithub.com\u002Fpranav08\u002Fdct_reconciler",{"relevance":109,"novelty":110,"quality":110,"actionability":110,"composite":8217,"reasoning":8218},4.35,"Category: AI Automation. The article provides a detailed framework for building compliant LLM pipelines in clinical settings, addressing specific pain points such as validation and compliance, which are crucial for product builders in healthcare AI. It includes actionable code examples and methodologies that can be directly applied to real-world scenarios.","\u002Fsummaries\u002Fdda274267b28157e-compliant-llm-clinical-pipelines-85-skip-llms-summary","2026-05-05 20:01:01","2026-05-06 16:13:46",{"title":8028,"description":87},{"loc":8219},"dda274267b28157e","Towards AI","https:\u002F\u002Fpub.towardsai.net\u002Fdesigning-llm-pipelines-for-clinical-data-a-pattern-for-alcoa-and-21-cfr-part-11-compliance-84f8c91d8d28?source=rss----98111c9905da---4","summaries\u002Fdda274267b28157e-compliant-llm-clinical-pipelines-85-skip-llms-summary",[125,128,127,126],"Use constrained decoding, lossy Pydantic parsing, deterministic Python computation\u002Fvalidation, and conditional LLM judging to build ALCOA++\u002F21 CFR Part 11-compliant pipelines processing clinical data at $0.15 per 1K records, with 85% records avoiding LLMs entirely.",[],"T33vD07N6Yzrm9WVlzg5hlEpM00JG6DvdH6nai9afbY",{"id":8233,"title":8234,"ai":8235,"body":8240,"categories":8720,"created_at":95,"date_modified":95,"description":87,"extension":96,"faq":95,"featured":97,"kicker_label":95,"meta":8721,"navigation":113,"path":8733,"published_at":8734,"question":95,"scraped_at":8735,"seo":8736,"sitemap":8737,"source_id":8738,"source_name":8739,"source_type":7910,"source_url":8740,"stem":8741,"tags":8742,"thumbnail_url":95,"tldr":8743,"tweet":95,"unknown_tags":8744,"__hash__":8745},"summaries\u002Fsummaries\u002Fecd68f80cc07755b-build-magika-gpt-file-security-pipeline-summary.md","Build Magika + GPT File Security Pipeline",{"provider":7,"model":8030,"input_tokens":8236,"output_tokens":8237,"processing_time_ms":8238,"cost_usd":8239},9759,2948,31093,0.00340315,{"type":14,"value":8241,"toc":8713},[8242,8246,8253,8295,8306,8341,8392,8395,8415,8426,8432,8436,8458,8464,8489,8504,8509,8513,8516,8531,8560,8567,8576,8582,8587,8591,8594,8646,8656,8661,8665,8711],[17,8243,8245],{"id":8244},"initialize-magika-and-openai-for-byte-level-detection","Initialize Magika and OpenAI for Byte-Level Detection",[22,8247,8248,8249,8252],{},"This masterclass teaches how to create a robust file analysis pipeline by combining Magika—a deep learning model from Google that identifies over 500 file types from raw bytes, ignoring extensions—with OpenAI's GPT-4o for contextual interpretation. Prerequisites: Basic Python, familiarity with APIs, and an OpenAI key. Start by installing ",[7942,8250,8251],{},"pip install magika openai -q",", then securely input your API key:",[8052,8254,8256],{"className":8054,"code":8255,"language":128,"meta":87,"style":87},"import getpass\nfrom openai import OpenAI\nfrom magika import Magika\n\napi_key = getpass.getpass(\"OpenAI API Key: \")\nclient = OpenAI(api_key=api_key)\nm = Magika()\n",[7942,8257,8258,8263,8268,8273,8278,8283,8289],{"__ignoreMap":87},[8059,8259,8260],{"class":8061,"line":8062},[8059,8261,8262],{},"import getpass\n",[8059,8264,8265],{"class":8061,"line":88},[8059,8266,8267],{},"from openai import OpenAI\n",[8059,8269,8270],{"class":8061,"line":8010},[8059,8271,8272],{},"from magika import Magika\n",[8059,8274,8275],{"class":8061,"line":110},[8059,8276,8277],{"emptyLinePlaceholder":113},"\n",[8059,8279,8280],{"class":8061,"line":109},[8059,8281,8282],{},"api_key = getpass.getpass(\"OpenAI API Key: \")\n",[8059,8284,8286],{"class":8061,"line":8285},6,[8059,8287,8288],{},"client = OpenAI(api_key=api_key)\n",[8059,8290,8292],{"class":8061,"line":8291},7,[8059,8293,8294],{},"m = Magika()\n",[22,8296,8297,8298,8301,8302,8305],{},"Test connectivity: ",[7942,8299,8300],{},"client.models.list()"," and check Magika with ",[7942,8303,8304],{},"m.get_model_name()",". Define a prompt helper for GPT analysis:",[8052,8307,8309],{"className":8054,"code":8308,"language":128,"meta":87,"style":87},"def ask_gpt(system: str, user: str, model: \"gpt-4o\", max_tokens: int = 600) -> str:\n    resp = client.chat.completions.create(\n        model=model, max_tokens=max_tokens,\n        messages=[{\"role\": \"system\", \"content\": system}, {\"role\": \"user\", \"content\": user}]\n    )\n    return resp.choices[0].message.content.strip()\n",[7942,8310,8311,8316,8321,8326,8331,8336],{"__ignoreMap":87},[8059,8312,8313],{"class":8061,"line":8062},[8059,8314,8315],{},"def ask_gpt(system: str, user: str, model: \"gpt-4o\", max_tokens: int = 600) -> str:\n",[8059,8317,8318],{"class":8061,"line":88},[8059,8319,8320],{},"    resp = client.chat.completions.create(\n",[8059,8322,8323],{"class":8061,"line":8010},[8059,8324,8325],{},"        model=model, max_tokens=max_tokens,\n",[8059,8327,8328],{"class":8061,"line":110},[8059,8329,8330],{},"        messages=[{\"role\": \"system\", \"content\": system}, {\"role\": \"user\", \"content\": user}]\n",[8059,8332,8333],{"class":8061,"line":109},[8059,8334,8335],{},"    )\n",[8059,8337,8338],{"class":8061,"line":8285},[8059,8339,8340],{},"    return resp.choices[0].message.content.strip()\n",[22,8342,8343,8346,8347,8350,8351,8354,8355,8358,8359,8176,8362,8176,8365,8176,8368,8371,8372,8375,8376,8379,8380,8383,8384,8387,8388,8391],{},[32,8344,8345],{},"Principle",": Magika processes bytes directly (",[7942,8348,8349],{},"m.identify_bytes(raw_bytes)"," or ",[7942,8352,8353],{},"m.identify_paths(paths)","), returning ",[7942,8356,8357],{},"MagikaResult"," with ",[7942,8360,8361],{},"output.label",[7942,8363,8364],{},"output.mime_type",[7942,8366,8367],{},"score",[7942,8369,8370],{},"output.group",", and raw ",[7942,8373,8374],{},"dl.label",". Use ",[7942,8377,8378],{},"output.*"," fields for production (post-thresholding); ",[7942,8381,8382],{},"dl.*"," for debugging. Common mistake: Relying on extensions—spoofing bypasses them. GPT translates: e.g., prompt for explanation of byte patterns like shebangs (",[7942,8385,8386],{},"#!\u002F",") or magic bytes (",[7942,8389,8390],{},"%PDF",").",[22,8393,8394],{},"For single files, scan bytes:",[8052,8396,8398],{"className":8054,"code":8397,"language":128,"meta":87,"style":87},"res = m.identify_bytes(b\"#!\u002Fusr\u002Fbin\u002Fenv python3\\n\")\nprint(res.output.label)  # 'python'\nprint(res.score)  # e.g., 0.99\n",[7942,8399,8400,8405,8410],{"__ignoreMap":87},[8059,8401,8402],{"class":8061,"line":8062},[8059,8403,8404],{},"res = m.identify_bytes(b\"#!\u002Fusr\u002Fbin\u002Fenv python3\\n\")\n",[8059,8406,8407],{"class":8061,"line":88},[8059,8408,8409],{},"print(res.output.label)  # 'python'\n",[8059,8411,8412],{"class":8061,"line":8010},[8059,8413,8414],{},"print(res.score)  # e.g., 0.99\n",[22,8416,8417,8418,8421,8422,8425],{},"Batch scan directories: ",[7942,8419,8420],{},"results = m.identify_paths([Path('file1'), Path('file2')])",". Quality criteria: Scores >90% for high confidence; inspect ",[7942,8423,8424],{},"output.is_text"," for extractability.",[8427,8428,8429],"blockquote",{},[22,8430,8431],{},"\"💬 GPT on how Magika works: Magika uses a deep neural network trained on millions of file bytes to recognize patterns like magic numbers, headers, and structural signatures that uniquely identify file formats, regardless of extensions. This outperforms extension checks because attackers often spoof extensions to hide malware, but byte-level analysis reveals the true format.\"",[17,8433,8435],{"id":8434},"tune-detection-for-edge-cases-and-threats","Tune Detection for Edge Cases and Threats",[22,8437,8438,8439,8442,8443,8446,8447,8450,8451,8454,8455,8457],{},"Configure ",[7942,8440,8441],{},"Magika(prediction_mode=PredictionMode.HIGH_CONFIDENCE)"," for conservative scans (blocks low-score ambiguities), ",[7942,8444,8445],{},"MEDIUM_CONFIDENCE"," for balanced, or ",[7942,8448,8449],{},"BEST_GUESS"," for exploratory. Test on ambiguous text like ",[7942,8452,8453],{},"b\"Hello, world.\"",": High may abstain, Best Guess labels 'text'. ",[32,8456,8345],{},": Match mode to risk—HIGH_CONFIDENCE for uploads, BEST_GUESS for forensics. Avoid mistake: Default mode on binaries; always probe prefixes (Magika works from 4-512 bytes via early patterns).",[22,8459,8460,8461,8463],{},"Detect spoofing: Compare ",[7942,8462,8361],{}," vs. expected from extension:",[8052,8465,8467],{"className":8054,"code":8466,"language":128,"meta":87,"style":87},"ext = fname.rsplit(\".\", 1)[-1]\nexpected = {\"pdf\": \"pdf\", \"jpg\": \"jpeg\"}.get(ext)\nmatch = res.output.label == expected\nthreats = [fname if not match else None]\n",[7942,8468,8469,8474,8479,8484],{"__ignoreMap":87},[8059,8470,8471],{"class":8061,"line":8062},[8059,8472,8473],{},"ext = fname.rsplit(\".\", 1)[-1]\n",[8059,8475,8476],{"class":8061,"line":88},[8059,8477,8478],{},"expected = {\"pdf\": \"pdf\", \"jpg\": \"jpeg\"}.get(ext)\n",[8059,8480,8481],{"class":8061,"line":8010},[8059,8482,8483],{},"match = res.output.label == expected\n",[8059,8485,8486],{"class":8061,"line":110},[8059,8487,8488],{},"threats = [fname if not match else None]\n",[22,8490,8491,8492,8495,8496,8499,8500,8503],{},"Corpus analysis: Scan mixed bytes, tally ",[7942,8493,8494],{},"Counter(r.output.group)"," for repo insights (e.g., 40% code, 30% config signals web app). ",[32,8497,8498],{},"Trade-off",": Magika excels on known types but may mislabel novel hybrids; cross-check with ",[7942,8501,8502],{},"output.description",".",[8427,8505,8506],{},[22,8507,8508],{},"\"💬 GPT on when to use each mode: - HIGH_CONFIDENCE: File uploads in production to minimize false positives on potential malware. - MEDIUM_CONFIDENCE: Code reviews where some ambiguity is tolerable for broader coverage. - BEST_GUESS: Forensics or exploratory scans to get a starting hypothesis even on noisy data.\"",[17,8510,8512],{"id":8511},"deploy-upload-scanner-and-forensic-pipeline","Deploy Upload Scanner and Forensic Pipeline",[22,8514,8515],{},"Simulate uploads: Create temp dir, write files, batch-scan, apply rules:",[8052,8517,8519],{"className":8054,"code":8518,"language":128,"meta":87,"style":87},"BLOCKED_LABELS = {\"pe\", \"elf\", \"macho\"}  # Binaries\nstatus = \"🚫 BLOCKED\" if o.label in BLOCKED_LABELS else \"✅ OK\" if not mismatch else \"⚠️ MISMATCH\"\n",[7942,8520,8521,8526],{"__ignoreMap":87},[8059,8522,8523],{"class":8061,"line":8062},[8059,8524,8525],{},"BLOCKED_LABELS = {\"pe\", \"elf\", \"macho\"}  # Binaries\n",[8059,8527,8528],{"class":8061,"line":88},[8059,8529,8530],{},"status = \"🚫 BLOCKED\" if o.label in BLOCKED_LABELS else \"✅ OK\" if not mismatch else \"⚠️ MISMATCH\"\n",[22,8532,8533,8534,8537,8538,8176,8541,8176,8544,8547,8548,8551,8552,8555,8556,8559],{},"Flag mismatches (e.g., .pdf hiding shell), block executables. For forensics, compute ",[7942,8535,8536],{},"hashlib.sha256(content).hexdigest()[:16]",", log ",[7942,8539,8540],{},"label",[7942,8542,8543],{},"mime_type",[7942,8545,8546],{},"is_text",". ",[32,8549,8550],{},"Fit in workflow",": Integrate as middleware (e.g., FastAPI ",[7942,8553,8554],{},"@app.post('\u002Fupload')"," calls ",[7942,8557,8558],{},"m.identify_paths","). Scale with async batches; monitor scores \u003C0.8.",[22,8561,8562,8563,8566],{},"GPT risk scoring: Feed ",[7942,8564,8565],{},"json.dumps(scan_results)"," for structured output:",[8052,8568,8570],{"className":8054,"code":8569,"language":128,"meta":87,"style":87},"risk_report = ask_gpt(\"You are a senior security analyst.\", f\"Results: {json.dumps(scan_results)}. Provide risk summary.\")\n",[7942,8571,8572],{"__ignoreMap":87},[8059,8573,8574],{"class":8061,"line":8062},[8059,8575,8569],{},[22,8577,8578,8581],{},[32,8579,8580],{},"Quality check",": Good pipeline blocks 100% known bad, flags 90% spoofs, reports in JSON.",[8427,8583,8584],{},[22,8585,8586],{},"\"💬 GPT threat assessment: For invoice.pdf (shell script): Likely script kiddie dropper; quarantine and static-analysis with VirusTotal. photo.jpg (html): XSS vector via image handler flaw; block HTML in image paths. data.csv (zip): Archive bomb or hidden payload; decompress safely in sandbox. readme.txt (pdf): Polyglot exploit attempt; full byte-scan all 'docs'.\"",[17,8588,8590],{"id":8589},"generate-actionable-reports-and-narratives","Generate Actionable Reports and Narratives",[22,8592,8593],{},"Structure JSON reports:",[8052,8595,8597],{"className":8054,"code":8596,"language":128,"meta":87,"style":87},"report = [{\n    \"filename\": name,\n    \"label\": o.label,\n    \"mime_type\": o.mime_type,\n    \"score\": round(res.score, 4),\n    # ... full MagikaResult fields\n} for each file]\nwith open(\"\u002Ftmp\u002Freport.json\", \"w\") as f:\n    json.dump({\"scan_results\": report, \"exec_summary\": exec_summary}, f)\n",[7942,8598,8599,8604,8609,8614,8619,8624,8629,8634,8640],{"__ignoreMap":87},[8059,8600,8601],{"class":8061,"line":8062},[8059,8602,8603],{},"report = [{\n",[8059,8605,8606],{"class":8061,"line":88},[8059,8607,8608],{},"    \"filename\": name,\n",[8059,8610,8611],{"class":8061,"line":8010},[8059,8612,8613],{},"    \"label\": o.label,\n",[8059,8615,8616],{"class":8061,"line":110},[8059,8617,8618],{},"    \"mime_type\": o.mime_type,\n",[8059,8620,8621],{"class":8061,"line":109},[8059,8622,8623],{},"    \"score\": round(res.score, 4),\n",[8059,8625,8626],{"class":8061,"line":8285},[8059,8627,8628],{},"    # ... full MagikaResult fields\n",[8059,8630,8631],{"class":8061,"line":8291},[8059,8632,8633],{},"} for each file]\n",[8059,8635,8637],{"class":8061,"line":8636},8,[8059,8638,8639],{},"with open(\"\u002Ftmp\u002Freport.json\", \"w\") as f:\n",[8059,8641,8643],{"class":8061,"line":8642},9,[8059,8644,8645],{},"    json.dump({\"scan_results\": report, \"exec_summary\": exec_summary}, f)\n",[22,8647,8648,8649,8651,8652,8655],{},"Prompt GPT for audiences: DevSecOps summaries (3 sentences), CISO exec (2 paras), IOC narratives (attack chain). ",[32,8650,8345],{},": Always include raw results + interpreted insights; version with Magika 1.0.2 fixes (e.g., ",[7942,8653,8654],{},"res.score"," unified). Practice: Fork the Colab notebook, test your uploads.",[8427,8657,8658],{},[22,8659,8660],{},"\"💬 GPT executive summary: The scan identified mostly legitimate code and config files for a Python web app, but flagged an executable (evil.exe) and spoofed PDF hiding Python code, elevating overall risk to medium. No immediate breaches, but binaries indicate potential supply-chain compromise. Next: Implement auto-quarantine for mismatches, run full AV on blocked files, and audit upload handlers for extension bypasses.\"",[17,8662,8664],{"id":8663},"key-takeaways","Key Takeaways",[26,8666,8667,8674,8677,8680,8683,8690,8693,8696,8699,8708],{},[29,8668,8669,8670,8673],{},"Install Magika\u002FOpenAI, test with ",[7942,8671,8672],{},"identify_bytes(raw)"," for extension-proof typing.",[29,8675,8676],{},"Use prediction modes: HIGH_CONFIDENCE for prod uploads, BEST_GUESS for forensics.",[29,8678,8679],{},"Detect spoofs by comparing label vs. extension map; block {'pe','elf','macho'}.",[29,8681,8682],{},"Batch-scan dirs, tally groups\u002Flabels for repo profiling.",[29,8684,8685,8686,8689],{},"Prompt GPT with ",[7942,8687,8688],{},"json.dumps(results)"," for tailored insights: risks, IOCs, exec summaries.",[29,8691,8692],{},"Export JSON with full fields (output.* prioritized); probe prefixes for perf.",[29,8694,8695],{},"Avoid: Extension reliance, unprompted GPT (always system-role context).",[29,8697,8698],{},"Scale: Temp dirs for uploads, SHA prefixes for IOCs.",[29,8700,8701,8702,8704,8705,8707],{},"Debug: ",[7942,8703,8374],{}," vs. ",[7942,8706,8361],{}," shows thresholding.",[29,8709,8710],{},"Practice: Run on your codebase, build FastAPI endpoint.",[8200,8712,8202],{},{"title":87,"searchDepth":88,"depth":88,"links":8714},[8715,8716,8717,8718,8719],{"id":8244,"depth":88,"text":8245},{"id":8434,"depth":88,"text":8435},{"id":8511,"depth":88,"text":8512},{"id":8589,"depth":88,"text":8590},{"id":8663,"depth":88,"text":8664},[94],{"content_references":8722,"triage":8731},[8723,8726,8728],{"type":101,"title":8724,"url":8725,"context":107},"Magika","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fmagika",{"type":101,"title":8727,"context":107},"OpenAI",{"type":8006,"title":8729,"url":8730,"context":104},"Full Codes with Notebook","https:\u002F\u002Fgithub.com\u002FMarktechpost\u002FAI-Agents-Projects-Tutorials\u002Fblob\u002Fmain\u002FSecurity\u002Fmagika_openai_file_detection_security_analysis_Marktechpost.ipynb",{"relevance":109,"novelty":110,"quality":110,"actionability":109,"composite":111,"reasoning":8732},"Category: AI Automation. The article provides a detailed, practical guide on building an AI-powered file security pipeline using Magika and GPT-4o, addressing the audience's need for actionable content. It includes specific code snippets and explanations that enable readers to implement the solution directly in their projects.","\u002Fsummaries\u002Fecd68f80cc07755b-build-magika-gpt-file-security-pipeline-summary","2026-04-19 18:38:58","2026-04-21 15:27:00",{"title":8234,"description":87},{"loc":8733},"ecd68f80cc07755b","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F04\u002F19\u002Fa-coding-implementation-to-build-an-ai-powered-file-type-detection-and-security-analysis-pipeline-with-magika-and-openai\u002F","summaries\u002Fecd68f80cc07755b-build-magika-gpt-file-security-pipeline-summary",[128,125,126,127],"Use Google's Magika for byte-accurate file typing and GPT-4o to generate security insights, risk scores, and reports from scan results in a Python workflow.",[],"0Yi8-rkyPZIwxcWJPf86sMH9hPEcfehqNgEwRqD2vM8"]