[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-6cfdb395f3efb4ea-localizing-ai-agent-failures-model-vs-harness-summary":3,"summaries-facets-categories":141,"summary-related-6cfdb395f3efb4ea-localizing-ai-agent-failures-model-vs-harness-summary":6217},{"id":4,"title":5,"ai":6,"body":13,"categories":108,"created_at":110,"date_modified":110,"description":99,"extension":111,"faq":110,"featured":112,"kicker_label":110,"meta":113,"navigation":125,"path":126,"published_at":127,"question":110,"scraped_at":127,"seo":128,"sitemap":129,"source_id":130,"source_name":131,"source_type":132,"source_url":118,"stem":133,"tags":134,"thumbnail_url":110,"tldr":138,"tweet":110,"unknown_tags":139,"__hash__":140},"summaries\u002Fsummaries\u002F6cfdb395f3efb4ea-localizing-ai-agent-failures-model-vs-harness-summary.md","Localizing AI Agent Failures: Model vs. Harness",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4022,551,2651,0.001832,{"type":14,"value":15,"toc":98},"minimark",[16,21,34,39,42,64,68,71,91,95],[17,18,20],"h2",{"id":19},"distinguishing-model-vs-harness-failures","Distinguishing Model vs. Harness Failures",[22,23,24,25,29,30,33],"p",{},"When an AI agent fails to complete a task, developers often struggle to identify the root cause. The core insight is to categorize failures into two distinct domains: the ",[26,27,28],"strong",{},"Model"," (the LLM's reasoning, knowledge, and generation capabilities) and the ",[26,31,32],{},"Harness"," (the orchestration logic, tool definitions, environment state, and feedback loops).",[35,36,38],"h3",{"id":37},"the-model-domain-reasoning-and-knowledge","The Model Domain: Reasoning and Knowledge",[22,40,41],{},"Failures in the model domain occur when the LLM itself is incapable of the task. This includes:",[43,44,45,52,58],"ul",{},[46,47,48,51],"li",{},[26,49,50],{},"Reasoning errors:"," The model fails to follow logical steps or plan effectively.",[46,53,54,57],{},[26,55,56],{},"Knowledge gaps:"," The model lacks the specific information required to execute a step.",[46,59,60,63],{},[26,61,62],{},"Instruction following:"," The model ignores system prompts or formatting constraints.",[35,65,67],{"id":66},"the-harness-domain-orchestration-and-environment","The Harness Domain: Orchestration and Environment",[22,69,70],{},"Failures in the harness domain occur despite the model providing correct instructions. These are often the most overlooked issues in agent development:",[43,72,73,79,85],{},[46,74,75,78],{},[26,76,77],{},"Tool integration:"," The harness fails to correctly map the model's output to an API call or function argument.",[46,80,81,84],{},[26,82,83],{},"Environment state:"," The agent operates on stale data or an environment that has changed since the last observation.",[46,86,87,90],{},[26,88,89],{},"Feedback loops:"," The harness fails to pass the correct error messages or tool outputs back to the model, preventing self-correction.",[17,92,94],{"id":93},"diagnostic-framework","Diagnostic Framework",[22,96,97],{},"To localize these failures, developers should implement a systematic interaction-centric audit. By isolating the model's output from the harness's execution, you can determine if the agent's failure is a result of poor reasoning or a breakdown in the infrastructure supporting the agent. This approach shifts the focus from 'why did the agent fail?' to 'did the model fail to reason, or did the harness fail to execute?'",{"title":99,"searchDepth":100,"depth":100,"links":101},"",2,[102,107],{"id":19,"depth":100,"text":20,"children":103},[104,106],{"id":37,"depth":105,"text":38},3,{"id":66,"depth":105,"text":67},{"id":93,"depth":100,"text":94},[109],"AI & LLMs",null,"md",false,{"content_references":114,"triage":120},[115],{"type":116,"title":117,"url":118,"context":119},"paper","Model or Harness? An Interaction-Centric Taxonomy for Localizing Agent Failures","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.28802","reviewed",{"relevance":121,"novelty":122,"quality":122,"actionability":122,"composite":123,"reasoning":124},5,4,4.35,"Category: AI & LLMs. The article provides a clear framework for diagnosing failures in AI agents, which directly addresses the pain points of developers trying to integrate AI into their products. It offers actionable insights on distinguishing between model and harness failures, making it highly relevant and practical for the target audience.",true,"\u002Fsummaries\u002F6cfdb395f3efb4ea-localizing-ai-agent-failures-model-vs-harness-summary","2026-08-04 03:10:08",{"title":5,"description":99},{"loc":126},"6cfdb395f3efb4ea","arXiv cs.AI","article","summaries\u002F6cfdb395f3efb4ea-localizing-ai-agent-failures-model-vs-harness-summary",[135,136,137],"llm","ai-agents","debugging","To debug AI agents effectively, you must distinguish between failures caused by the underlying LLM (Model) and those caused by the agent's orchestration, tools, or environment (Harness).",[136,137],"kkgChMQmejtaPxThdnsF2v7nNhaJzNc0dRyHfWjzHSw",[142,144,147,150,152,155,158,160,162,164,167,169,171,173,175,178,180,182,184,186,189,191,193,195,197,199,201,203,205,207,209,211,213,215,217,219,221,223,225,227,230,233,235,237,239,241,243,245,247,249,251,253,255,258,260,262,264,266,268,270,272,274,276,278,280,282,284,286,288,290,293,295,297,299,301,303,305,307,309,311,313,315,317,319,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,381,383,385,387,389,391,393,395,397,399,401,404,406,408,410,412,414,416,418,420,422,424,426,428,431,433,435,437,439,441,443,445,447,450,452,454,456,458,460,462,464,466,468,470,472,474,476,478,480,482,484,486,488,490,492,494,496,498,500,503,505,507,510,512,514,516,518,520,522,524,526,528,530,532,534,536,539,541,543,545,547,549,551,553,555,557,559,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,815,817,819,821,823,826,828,830,832,834,836,838,840,842,844,846,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,4999,5001,5003,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5029,5031,5033,5035,5037,5039,5041,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5969,5971,5973,5975,5977,5979,5981,5983,5985,5987,5989,5991,5993,5995,5997,5999,6001,6003,6005,6007,6009,6011,6013,6015,6017,6019,6021,6023,6025,6027,6029,6031,6033,6035,6037,6039,6041,6043,6045,6047,6049,6051,6053,6055,6057,6059,6061,6063,6065,6067,6069,6071,6073,6075,6077,6079,6081,6083,6085,6087,6089,6091,6093,6095,6097,6099,6101,6103,6105,6107,6109,6111,6113,6115,6117,6119,6121,6123,6125,6127,6129,6131,6133,6135,6137,6139,6141,6143,6145,6147,6149,6151,6153,6155,6157,6159,6161,6163,6165,6167,6169,6171,6173,6175,6177,6179,6181,6183,6185,6187,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215],{"categories":143},[109],{"categories":145},[146],"Developer Productivity",{"categories":148},[149],"Business & SaaS",{"categories":151},[109],{"categories":153},[154],"AI Automation",{"categories":156},[157],"Product Strategy",{"categories":159},[109],{"categories":161},[146],{"categories":163},[154],{"categories":165},[166],"Software Engineering",{"categories":168},[109],{"categories":170},[149],{"categories":172},[],{"categories":174},[109],{"categories":176},[177],"Inference & Serving",{"categories":179},[109],{"categories":181},[109],{"categories":183},[154],{"categories":185},[],{"categories":187},[188],"AI News & Trends",{"categories":190},[154],{"categories":192},[109],{"categories":194},[149],{"categories":196},[146],{"categories":198},[109],{"categories":200},[154],{"categories":202},[188],{"categories":204},[154],{"categories":206},[154],{"categories":208},[109],{"categories":210},[154],{"categories":212},[109],{"categories":214},[109],{"categories":216},[109],{"categories":218},[188],{"categories":220},[109],{"categories":222},[109],{"categories":224},[109],{"categories":226},[],{"categories":228},[229],"Design & Frontend",{"categories":231},[232],"Data Science & Visualization",{"categories":234},[188],{"categories":236},[109],{"categories":238},[109],{"categories":240},[109],{"categories":242},[],{"categories":244},[109],{"categories":246},[154],{"categories":248},[166],{"categories":250},[109],{"categories":252},[154],{"categories":254},[109],{"categories":256},[257],"Marketing & Growth",{"categories":259},[229],{"categories":261},[109],{"categories":263},[154],{"categories":265},[109],{"categories":267},[166],{"categories":269},[],{"categories":271},[],{"categories":273},[229],{"categories":275},[109],{"categories":277},[154],{"categories":279},[146],{"categories":281},[166],{"categories":283},[229],{"categories":285},[157],{"categories":287},[109],{"categories":289},[166],{"categories":291},[292],"DevOps & Cloud",{"categories":294},[154],{"categories":296},[157],{"categories":298},[188],{"categories":300},[109],{"categories":302},[],{"categories":304},[109],{"categories":306},[109],{"categories":308},[],{"categories":310},[154],{"categories":312},[166],{"categories":314},[],{"categories":316},[166],{"categories":318},[109],{"categories":320},[321],"Governance & Standards",{"categories":323},[149],{"categories":325},[],{"categories":327},[],{"categories":329},[109],{"categories":331},[109],{"categories":333},[154],{"categories":335},[109],{"categories":337},[109],{"categories":339},[154],{"categories":341},[109],{"categories":343},[109],{"categories":345},[109],{"categories":347},[],{"categories":349},[166],{"categories":351},[],{"categories":353},[],{"categories":355},[166],{"categories":357},[],{"categories":359},[166],{"categories":361},[109],{"categories":363},[109],{"categories":365},[257],{"categories":367},[109],{"categories":369},[229],{"categories":371},[229],{"categories":373},[109],{"categories":375},[166],{"categories":377},[154],{"categories":379},[380],"GovTech & Public-Sector Adoption",{"categories":382},[166],{"categories":384},[109],{"categories":386},[109],{"categories":388},[109],{"categories":390},[154],{"categories":392},[154],{"categories":394},[232],{"categories":396},[109],{"categories":398},[188],{"categories":400},[154],{"categories":402},[403],"Legal AI Tools",{"categories":405},[154],{"categories":407},[257],{"categories":409},[154],{"categories":411},[157],{"categories":413},[166],{"categories":415},[380],{"categories":417},[],{"categories":419},[154],{"categories":421},[],{"categories":423},[149],{"categories":425},[154],{"categories":427},[154],{"categories":429},[430],"RAG & Retrieval",{"categories":432},[149],{"categories":434},[109],{"categories":436},[166],{"categories":438},[166],{"categories":440},[292],{"categories":442},[229],{"categories":444},[109],{"categories":446},[],{"categories":448},[449],"Agents & Orchestration",{"categories":451},[166],{"categories":453},[109],{"categories":455},[],{"categories":457},[154],{"categories":459},[149],{"categories":461},[],{"categories":463},[109],{"categories":465},[],{"categories":467},[146],{"categories":469},[166],{"categories":471},[149],{"categories":473},[109],{"categories":475},[154],{"categories":477},[109],{"categories":479},[188],{"categories":481},[109],{"categories":483},[],{"categories":485},[109],{"categories":487},[],{"categories":489},[166],{"categories":491},[109],{"categories":493},[232],{"categories":495},[],{"categories":497},[109],{"categories":499},[229],{"categories":501},[502],"Models & Frontier Labs",{"categories":504},[],{"categories":506},[229],{"categories":508},[509],"Regulation & Governance of AI",{"categories":511},[154],{"categories":513},[],{"categories":515},[109],{"categories":517},[109],{"categories":519},[154],{"categories":521},[188],{"categories":523},[149],{"categories":525},[109],{"categories":527},[],{"categories":529},[166],{"categories":531},[154],{"categories":533},[109],{"categories":535},[157],{"categories":537},[538],"AI Policy & Regulation",{"categories":540},[],{"categories":542},[109],{"categories":544},[157],{"categories":546},[154],{"categories":548},[109],{"categories":550},[109],{"categories":552},[109],{"categories":554},[154],{"categories":556},[],{"categories":558},[232],{"categories":560},[561],"Evals & Reliability",{"categories":563},[109],{"categories":565},[],{"categories":567},[146],{"categories":569},[380],{"categories":571},[538],{"categories":573},[109],{"categories":575},[149],{"categories":577},[109],{"categories":579},[154],{"categories":581},[109],{"categories":583},[154],{"categories":585},[449],{"categories":587},[109],{"categories":589},[166],{"categories":591},[109],{"categories":593},[],{"categories":595},[],{"categories":597},[109],{"categories":599},[380],{"categories":601},[109],{"categories":603},[109],{"categories":605},[109],{"categories":607},[],{"categories":609},[229],{"categories":611},[],{"categories":613},[109],{"categories":615},[],{"categories":617},[154],{"categories":619},[109],{"categories":621},[229],{"categories":623},[],{"categories":625},[109],{"categories":627},[154],{"categories":629},[109],{"categories":631},[149],{"categories":633},[154],{"categories":635},[109],{"categories":637},[109],{"categories":639},[166],{"categories":641},[229],{"categories":643},[154],{"categories":645},[],{"categories":647},[166],{"categories":649},[154],{"categories":651},[232],{"categories":653},[],{"categories":655},[109],{"categories":657},[188],{"categories":659},[],{"categories":661},[109],{"categories":663},[109],{"categories":665},[109],{"categories":667},[149,257],{"categories":669},[],{"categories":671},[109],{"categories":673},[109],{"categories":675},[154],{"categories":677},[],{"categories":679},[],{"categories":681},[109],{"categories":683},[229],{"categories":685},[109],{"categories":687},[],{"categories":689},[109],{"categories":691},[292],{"categories":693},[],{"categories":695},[154],{"categories":697},[188],{"categories":699},[109],{"categories":701},[109],{"categories":703},[229],{"categories":705},[],{"categories":707},[188],{"categories":709},[109],{"categories":711},[177],{"categories":713},[109],{"categories":715},[154],{"categories":717},[188],{"categories":719},[502],{"categories":721},[109],{"categories":723},[257],{"categories":725},[],{"categories":727},[154],{"categories":729},[149],{"categories":731},[166],{"categories":733},[109],{"categories":735},[154],{"categories":737},[],{"categories":739},[109,292],{"categories":741},[109],{"categories":743},[109],{"categories":745},[109],{"categories":747},[154],{"categories":749},[109,166],{"categories":751},[232],{"categories":753},[109],{"categories":755},[109],{"categories":757},[166],{"categories":759},[154],{"categories":761},[538],{"categories":763},[257],{"categories":765},[109],{"categories":767},[154],{"categories":769},[109],{"categories":771},[109],{"categories":773},[154],{"categories":775},[],{"categories":777},[154],{"categories":779},[109],{"categories":781},[109],{"categories":783},[154],{"categories":785},[109],{"categories":787},[109,149],{"categories":789},[149],{"categories":791},[],{"categories":793},[229],{"categories":795},[229],{"categories":797},[109],{"categories":799},[],{"categories":801},[],{"categories":803},[188],{"categories":805},[],{"categories":807},[146],{"categories":809},[109],{"categories":811},[166],{"categories":813},[814],"Generative UI & Design-to-Code",{"categories":816},[109],{"categories":818},[109],{"categories":820},[229],{"categories":822},[109],{"categories":824},[825],"Algorithmic Accountability",{"categories":827},[154],{"categories":829},[166],{"categories":831},[188],{"categories":833},[229],{"categories":835},[],{"categories":837},[157],{"categories":839},[109],{"categories":841},[109],{"categories":843},[109],{"categories":845},[154],{"categories":847},[848],"MLOps & Infrastructure",{"categories":850},[109],{"categories":852},[109],{"categories":854},[109],{"categories":856},[109],{"categories":858},[109],{"categories":860},[188],{"categories":862},[146],{"categories":864},[109],{"categories":866},[154],{"categories":868},[292],{"categories":870},[109],{"categories":872},[149],{"categories":874},[109],{"categories":876},[229],{"categories":878},[109],{"categories":880},[109],{"categories":882},[154],{"categories":884},[],{"categories":886},[],{"categories":888},[109],{"categories":890},[177],{"categories":892},[229],{"categories":894},[188],{"categories":896},[232],{"categories":898},[],{"categories":900},[109],{"categories":902},[109],{"categories":904},[149],{"categories":906},[154],{"categories":908},[109],{"categories":910},[109],{"categories":912},[109],{"categories":914},[188],{"categories":916},[177],{"categories":918},[109],{"categories":920},[229],{"categories":922},[109],{"categories":924},[],{"categories":926},[154],{"categories":928},[166],{"categories":930},[],{"categories":932},[109],{"categories":934},[109],{"categories":936},[154],{"categories":938},[166],{"categories":940},[109],{"categories":942},[232],{"categories":944},[],{"categories":946},[109],{"categories":948},[],{"categories":950},[109],{"categories":952},[],{"categories":954},[157],{"categories":956},[149],{"categories":958},[154],{"categories":960},[154],{"categories":962},[],{"categories":964},[146],{"categories":966},[109],{"categories":968},[109],{"categories":970},[149],{"categories":972},[188],{"categories":974},[146],{"categories":976},[],{"categories":978},[109],{"categories":980},[],{"categories":982},[],{"categories":984},[188],{"categories":986},[188],{"categories":988},[],{"categories":990},[449],{"categories":992},[109],{"categories":994},[229],{"categories":996},[166],{"categories":998},[],{"categories":1000},[403],{"categories":1002},[149],{"categories":1004},[],{"categories":1006},[],{"categories":1008},[146],{"categories":1010},[232],{"categories":1012},[],{"categories":1014},[257],{"categories":1016},[154],{"categories":1018},[149],{"categories":1020},[154],{"categories":1022},[149],{"categories":1024},[166],{"categories":1026},[],{"categories":1028},[177],{"categories":1030},[157],{"categories":1032},[109],{"categories":1034},[229],{"categories":1036},[166],{"categories":1038},[149],{"categories":1040},[109],{"categories":1042},[154],{"categories":1044},[149],{"categories":1046},[109],{"categories":1048},[109],{"categories":1050},[109],{"categories":1052},[109],{"categories":1054},[],{"categories":1056},[],{"categories":1058},[166],{"categories":1060},[232],{"categories":1062},[157],{"categories":1064},[109],{"categories":1066},[154],{"categories":1068},[166],{"categories":1070},[109],{"categories":1072},[],{"categories":1074},[188],{"categories":1076},[157],{"categories":1078},[109],{"categories":1080},[561],{"categories":1082},[292],{"categories":1084},[],{"categories":1086},[154],{"categories":1088},[],{"categories":1090},[146],{"categories":1092},[],{"categories":1094},[109],{"categories":1096},[109],{"categories":1098},[229],{"categories":1100},[257],{"categories":1102},[166],{"categories":1104},[154],{"categories":1106},[],{"categories":1108},[166],{"categories":1110},[109],{"categories":1112},[146],{"categories":1114},[],{"categories":1116},[149],{"categories":1118},[109],{"categories":1120},[188],{"categories":1122},[109,292],{"categories":1124},[1125],"Design Systems for AI",{"categories":1127},[109],{"categories":1129},[109],{"categories":1131},[188],{"categories":1133},[109],{"categories":1135},[109],{"categories":1137},[149],{"categories":1139},[109],{"categories":1141},[109],{"categories":1143},[],{"categories":1145},[109],{"categories":1147},[109],{"categories":1149},[149],{"categories":1151},[109],{"categories":1153},[],{"categories":1155},[154],{"categories":1157},[166],{"categories":1159},[188],{"categories":1161},[166],{"categories":1163},[229],{"categories":1165},[188],{"categories":1167},[232],{"categories":1169},[109],{"categories":1171},[146],{"categories":1173},[538],{"categories":1175},[109],{"categories":1177},[154],{"categories":1179},[109],{"categories":1181},[166],{"categories":1183},[166],{"categories":1185},[],{"categories":1187},[],{"categories":1189},[154],{"categories":1191},[157],{"categories":1193},[],{"categories":1195},[109],{"categories":1197},[],{"categories":1199},[229],{"categories":1201},[154],{"categories":1203},[166],{"categories":1205},[229],{"categories":1207},[109],{"categories":1209},[109],{"categories":1211},[229],{"categories":1213},[],{"categories":1215},[],{"categories":1217},[188],{"categories":1219},[154],{"categories":1221},[154],{"categories":1223},[109],{"categories":1225},[109],{"categories":1227},[109],{"categories":1229},[109],{"categories":1231},[149],{"categories":1233},[109],{"categories":1235},[109],{"categories":1237},[],{"categories":1239},[166],{"categories":1241},[166],{"categories":1243},[109],{"categories":1245},[166],{"categories":1247},[149],{"categories":1249},[],{"categories":1251},[109],{"categories":1253},[109],{"categories":1255},[109],{"categories":1257},[109],{"categories":1259},[154],{"categories":1261},[146],{"categories":1263},[149],{"categories":1265},[109],{"categories":1267},[188],{"categories":1269},[154],{"categories":1271},[177],{"categories":1273},[257],{"categories":1275},[109],{"categories":1277},[154],{"categories":1279},[109],{"categories":1281},[],{"categories":1283},[229],{"categories":1285},[],{"categories":1287},[109],{"categories":1289},[109],{"categories":1291},[],{"categories":1293},[166],{"categories":1295},[149],{"categories":1297},[1298],"Visual & Generative Media",{"categories":1300},[154],{"categories":1302},[],{"categories":1304},[109],{"categories":1306},[109],{"categories":1308},[166],{"categories":1310},[292],{"categories":1312},[232],{"categories":1314},[538],{"categories":1316},[166],{"categories":1318},[257],{"categories":1320},[109],{"categories":1322},[229],{"categories":1324},[109],{"categories":1326},[109],{"categories":1328},[166],{"categories":1330},[154],{"categories":1332},[109],{"categories":1334},[],{"categories":1336},[],{"categories":1338},[154],{"categories":1340},[166],{"categories":1342},[146],{"categories":1344},[154],{"categories":1346},[502],{"categories":1348},[109],{"categories":1350},[157],{"categories":1352},[109],{"categories":1354},[149],{"categories":1356},[],{"categories":1358},[109],{"categories":1360},[157],{"categories":1362},[109],{"categories":1364},[109],{"categories":1366},[109],{"categories":1368},[157],{"categories":1370},[109],{"categories":1372},[109],{"categories":1374},[257],{"categories":1376},[109],{"categories":1378},[449],{"categories":1380},[109],{"categories":1382},[154],{"categories":1384},[109],{"categories":1386},[109],{"categories":1388},[109],{"categories":1390},[109],{"categories":1392},[229],{"categories":1394},[154],{"categories":1396},[],{"categories":1398},[154],{"categories":1400},[],{"categories":1402},[292],{"categories":1404},[166],{"categories":1406},[],{"categories":1408},[502],{"categories":1410},[109],{"categories":1412},[154],{"categories":1414},[109],{"categories":1416},[229,109],{"categories":1418},[146],{"categories":1420},[109],{"categories":1422},[],{"categories":1424},[109],{"categories":1426},[146],{"categories":1428},[1429],"Medical Imaging & Radiology",{"categories":1431},[109],{"categories":1433},[229],{"categories":1435},[154],{"categories":1437},[166],{"categories":1439},[],{"categories":1441},[109],{"categories":1443},[109],{"categories":1445},[109],{"categories":1447},[],{"categories":1449},[],{"categories":1451},[109],{"categories":1453},[449],{"categories":1455},[109],{"categories":1457},[146],{"categories":1459},[109],{"categories":1461},[109],{"categories":1463},[],{"categories":1465},[154],{"categories":1467},[109],{"categories":1469},[157],{"categories":1471},[166],{"categories":1473},[109],{"categories":1475},[449],{"categories":1477},[109],{"categories":1479},[154],{"categories":1481},[109],{"categories":1483},[229],{"categories":1485},[154],{"categories":1487},[292],{"categories":1489},[229],{"categories":1491},[149],{"categories":1493},[154],{"categories":1495},[109],{"categories":1497},[109],{"categories":1499},[157],{"categories":1501},[109],{"categories":1503},[109],{"categories":1505},[109],{"categories":1507},[154],{"categories":1509},[166],{"categories":1511},[166],{"categories":1513},[109],{"categories":1515},[157],{"categories":1517},[],{"categories":1519},[188],{"categories":1521},[],{"categories":1523},[157],{"categories":1525},[154],{"categories":1527},[154],{"categories":1529},[1125],{"categories":1531},[1125],{"categories":1533},[229],{"categories":1535},[109],{"categories":1537},[109],{"categories":1539},[154],{"categories":1541},[166],{"categories":1543},[229],{"categories":1545},[154],{"categories":1547},[188],{"categories":1549},[],{"categories":1551},[109],{"categories":1553},[],{"categories":1555},[109],{"categories":1557},[109],{"categories":1559},[109],{"categories":1561},[154],{"categories":1563},[1564],"Contract Review & E-Discovery",{"categories":1566},[229],{"categories":1568},[109],{"categories":1570},[146],{"categories":1572},[188],{"categories":1574},[109],{"categories":1576},[109],{"categories":1578},[257],{"categories":1580},[166],{"categories":1582},[109],{"categories":1584},[109],{"categories":1586},[154],{"categories":1588},[154],{"categories":1590},[825],{"categories":1592},[109],{"categories":1594},[109],{"categories":1596},[154],{"categories":1598},[154],{"categories":1600},[109],{"categories":1602},[109],{"categories":1604},[154],{"categories":1606},[109],{"categories":1608},[109],{"categories":1610},[449],{"categories":1612},[430],{"categories":1614},[109],{"categories":1616},[154],{"categories":1618},[109],{"categories":1620},[1621],"Law-Firm Practice & Adoption",{"categories":1623},[109],{"categories":1625},[154],{"categories":1627},[229],{"categories":1629},[109],{"categories":1631},[109],{"categories":1633},[],{"categories":1635},[],{"categories":1637},[166],{"categories":1639},[],{"categories":1641},[154],{"categories":1643},[146],{"categories":1645},[292],{"categories":1647},[109],{"categories":1649},[],{"categories":1651},[146],{"categories":1653},[149],{"categories":1655},[109],{"categories":1657},[257],{"categories":1659},[],{"categories":1661},[149],{"categories":1663},[149],{"categories":1665},[],{"categories":1667},[109],{"categories":1669},[109],{"categories":1671},[166],{"categories":1673},[],{"categories":1675},[],{"categories":1677},[],{"categories":1679},[],{"categories":1681},[109],{"categories":1683},[154],{"categories":1685},[292],{"categories":1687},[109],{"categories":1689},[146],{"categories":1691},[166],{"categories":1693},[109],{"categories":1695},[109],{"categories":1697},[166],{"categories":1699},[157],{"categories":1701},[109],{"categories":1703},[109],{"categories":1705},[848],{"categories":1707},[109],{"categories":1709},[109],{"categories":1711},[257],{"categories":1713},[166],{"categories":1715},[149],{"categories":1717},[109],{"categories":1719},[109],{"categories":1721},[229],{"categories":1723},[109],{"categories":1725},[109],{"categories":1727},[109],{"categories":1729},[154],{"categories":1731},[109,146],{"categories":1733},[449],{"categories":1735},[109],{"categories":1737},[109],{"categories":1739},[166],{"categories":1741},[166],{"categories":1743},[229],{"categories":1745},[154],{"categories":1747},[166],{"categories":1749},[109],{"categories":1751},[109],{"categories":1753},[],{"categories":1755},[],{"categories":1757},[109],{"categories":1759},[],{"categories":1761},[109],{"categories":1763},[166],{"categories":1765},[232],{"categories":1767},[188],{"categories":1769},[229],{"categories":1771},[109],{"categories":1773},[109],{"categories":1775},[166],{"categories":1777},[],{"categories":1779},[154],{"categories":1781},[109],{"categories":1783},[109],{"categories":1785},[109],{"categories":1787},[109],{"categories":1789},[],{"categories":1791},[154],{"categories":1793},[109],{"categories":1795},[109],{"categories":1797},[],{"categories":1799},[154],{"categories":1801},[109],{"categories":1803},[109],{"categories":1805},[149],{"categories":1807},[109],{"categories":1809},[],{"categories":1811},[146],{"categories":1813},[109],{"categories":1815},[109],{"categories":1817},[229],{"categories":1819},[166],{"categories":1821},[109],{"categories":1823},[146],{"categories":1825},[109],{"categories":1827},[166],{"categories":1829},[257],{"categories":1831},[154],{"categories":1833},[154],{"categories":1835},[109],{"categories":1837},[109],{"categories":1839},[109,229],{"categories":1841},[109],{"categories":1843},[188],{"categories":1845},[109],{"categories":1847},[188],{"categories":1849},[154],{"categories":1851},[229],{"categories":1853},[],{"categories":1855},[166],{"categories":1857},[292],{"categories":1859},[229],{"categories":1861},[166],{"categories":1863},[109],{"categories":1865},[157],{"categories":1867},[109],{"categories":1869},[109],{"categories":1871},[154],{"categories":1873},[],{"categories":1875},[],{"categories":1877},[109],{"categories":1879},[],{"categories":1881},[],{"categories":1883},[157],{"categories":1885},[166],{"categories":1887},[109],{"categories":1889},[154],{"categories":1891},[154],{"categories":1893},[149],{"categories":1895},[154],{"categories":1897},[292],{"categories":1899},[109],{"categories":1901},[109],{"categories":1903},[177],{"categories":1905},[109],{"categories":1907},[109],{"categories":1909},[166],{"categories":1911},[154],{"categories":1913},[109],{"categories":1915},[109],{"categories":1917},[403],{"categories":1919},[825],{"categories":1921},[],{"categories":1923},[229],{"categories":1925},[1621],{"categories":1927},[166],{"categories":1929},[],{"categories":1931},[],{"categories":1933},[154],{"categories":1935},[],{"categories":1937},[],{"categories":1939},[257],{"categories":1941},[109],{"categories":1943},[257],{"categories":1945},[154],{"categories":1947},[109],{"categories":1949},[166],{"categories":1951},[157],{"categories":1953},[],{"categories":1955},[109],{"categories":1957},[109],{"categories":1959},[166],{"categories":1961},[1564],{"categories":1963},[229],{"categories":1965},[229],{"categories":1967},[109],{"categories":1969},[154],{"categories":1971},[146],{"categories":1973},[109],{"categories":1975},[109],{"categories":1977},[109],{"categories":1979},[229],{"categories":1981},[229],{"categories":1983},[154],{"categories":1985},[154],{"categories":1987},[109],{"categories":1989},[109],{"categories":1991},[],{"categories":1993},[109],{"categories":1995},[],{"categories":1997},[1998],"Interaction & Product Design",{"categories":2000},[109],{"categories":2002},[154],{"categories":2004},[321],{"categories":2006},[188],{"categories":2008},[166],{"categories":2010},[109],{"categories":2012},[109],{"categories":2014},[166],{"categories":2016},[146],{"categories":2018},[154],{"categories":2020},[109],{"categories":2022},[],{"categories":2024},[154],{"categories":2026},[154],{"categories":2028},[],{"categories":2030},[166],{"categories":2032},[109],{"categories":2034},[146],{"categories":2036},[1998],{"categories":2038},[109],{"categories":2040},[146],{"categories":2042},[146],{"categories":2044},[],{"categories":2046},[166],{"categories":2048},[],{"categories":2050},[154],{"categories":2052},[188],{"categories":2054},[109],{"categories":2056},[154],{"categories":2058},[109],{"categories":2060},[154],{"categories":2062},[109],{"categories":2064},[109],{"categories":2066},[188],{"categories":2068},[232],{"categories":2070},[109],{"categories":2072},[157],{"categories":2074},[166],{"categories":2076},[2077],"Coding Agents & Dev Productivity",{"categories":2079},[188],{"categories":2081},[229],{"categories":2083},[109],{"categories":2085},[],{"categories":2087},[109],{"categories":2089},[825],{"categories":2091},[],{"categories":2093},[109],{"categories":2095},[292],{"categories":2097},[109],{"categories":2099},[188],{"categories":2101},[],{"categories":2103},[],{"categories":2105},[109],{"categories":2107},[],{"categories":2109},[154],{"categories":2111},[109],{"categories":2113},[],{"categories":2115},[166],{"categories":2117},[166],{"categories":2119},[109],{"categories":2121},[232],{"categories":2123},[],{"categories":2125},[109],{"categories":2127},[109],{"categories":2129},[109],{"categories":2131},[232],{"categories":2133},[166],{"categories":2135},[],{"categories":2137},[],{"categories":2139},[109],{"categories":2141},[109],{"categories":2143},[154],{"categories":2145},[154],{"categories":2147},[380],{"categories":2149},[166],{"categories":2151},[166],{"categories":2153},[154],{"categories":2155},[188],{"categories":2157},[188],{"categories":2159},[154],{"categories":2161},[154],{"categories":2163},[109],{"categories":2165},[146],{"categories":2167},[1998],{"categories":2169},[109,292],{"categories":2171},[232],{"categories":2173},[],{"categories":2175},[229],{"categories":2177},[166],{"categories":2179},[146],{"categories":2181},[109],{"categories":2183},[154],{"categories":2185},[2186],"The Designer's Role & Craft",{"categories":2188},[229],{"categories":2190},[],{"categories":2192},[154],{"categories":2194},[109],{"categories":2196},[154],{"categories":2198},[154],{"categories":2200},[109],{"categories":2202},[257],{"categories":2204},[109],{"categories":2206},[166],{"categories":2208},[109],{"categories":2210},[229],{"categories":2212},[109],{"categories":2214},[],{"categories":2216},[154],{"categories":2218},[229],{"categories":2220},[109],{"categories":2222},[109],{"categories":2224},[109],{"categories":2226},[2227],"AI UX Patterns",{"categories":2229},[154],{"categories":2231},[154],{"categories":2233},[154],{"categories":2235},[154],{"categories":2237},[257],{"categories":2239},[232],{"categories":2241},[109],{"categories":2243},[154],{"categories":2245},[109],{"categories":2247},[1125],{"categories":2249},[],{"categories":2251},[257],{"categories":2253},[154],{"categories":2255},[188],{"categories":2257},[166],{"categories":2259},[109],{"categories":2261},[154],{"categories":2263},[],{"categories":2265},[],{"categories":2267},[109],{"categories":2269},[154],{"categories":2271},[109],{"categories":2273},[154],{"categories":2275},[380],{"categories":2277},[229],{"categories":2279},[188],{"categories":2281},[166],{"categories":2283},[109],{"categories":2285},[154],{"categories":2287},[154],{"categories":2289},[],{"categories":2291},[109],{"categories":2293},[],{"categories":2295},[],{"categories":2297},[109],{"categories":2299},[109],{"categories":2301},[109],{"categories":2303},[154],{"categories":2305},[166],{"categories":2307},[],{"categories":2309},[],{"categories":2311},[232],{"categories":2313},[177],{"categories":2315},[109],{"categories":2317},[232],{"categories":2319},[188],{"categories":2321},[109],{"categories":2323},[109],{"categories":2325},[154],{"categories":2327},[109],{"categories":2329},[154],{"categories":2331},[109],{"categories":2333},[109],{"categories":2335},[154],{"categories":2337},[],{"categories":2339},[],{"categories":2341},[109],{"categories":2343},[292],{"categories":2345},[109],{"categories":2347},[],{"categories":2349},[],{"categories":2351},[229],{"categories":2353},[848],{"categories":2355},[154],{"categories":2357},[146],{"categories":2359},[2186],{"categories":2361},[],{"categories":2363},[],{"categories":2365},[109],{"categories":2367},[],{"categories":2369},[],{"categories":2371},[166],{"categories":2373},[188],{"categories":2375},[257],{"categories":2377},[149],{"categories":2379},[109],{"categories":2381},[109],{"categories":2383},[149],{"categories":2385},[],{"categories":2387},[229],{"categories":2389},[157],{"categories":2391},[109],{"categories":2393},[109],{"categories":2395},[154],{"categories":2397},[149],{"categories":2399},[109],{"categories":2401},[109],{"categories":2403},[146],{"categories":2405},[109],{"categories":2407},[],{"categories":2409},[146],{"categories":2411},[109],{"categories":2413},[257],{"categories":2415},[154],{"categories":2417},[188],{"categories":2419},[109],{"categories":2421},[109],{"categories":2423},[109],{"categories":2425},[149],{"categories":2427},[109],{"categories":2429},[109],{"categories":2431},[109],{"categories":2433},[154],{"categories":2435},[],{"categories":2437},[109],{"categories":2439},[166],{"categories":2441},[146],{"categories":2443},[109],{"categories":2445},[109],{"categories":2447},[109],{"categories":2449},[],{"categories":2451},[109],{"categories":2453},[449],{"categories":2455},[149],{"categories":2457},[188],{"categories":2459},[109],{"categories":2461},[109],{"categories":2463},[],{"categories":2465},[149],{"categories":2467},[149],{"categories":2469},[109],{"categories":2471},[109],{"categories":2473},[157],{"categories":2475},[109],{"categories":2477},[109],{"categories":2479},[109],{"categories":2481},[166],{"categories":2483},[166],{"categories":2485},[109],{"categories":2487},[],{"categories":2489},[166],{"categories":2491},[109],{"categories":2493},[166],{"categories":2495},[538],{"categories":2497},[],{"categories":2499},[],{"categories":2501},[109],{"categories":2503},[188],{"categories":2505},[],{"categories":2507},[292],{"categories":2509},[109],{"categories":2511},[109],{"categories":2513},[229],{"categories":2515},[814],{"categories":2517},[],{"categories":2519},[109],{"categories":2521},[109],{"categories":2523},[109],{"categories":2525},[166],{"categories":2527},[109],{"categories":2529},[109],{"categories":2531},[109,292],{"categories":2533},[109],{"categories":2535},[109],{"categories":2537},[229],{"categories":2539},[154],{"categories":2541},[],{"categories":2543},[154],{"categories":2545},[154],{"categories":2547},[109],{"categories":2549},[109],{"categories":2551},[109],{"categories":2553},[232],{"categories":2555},[109],{"categories":2557},[2227],{"categories":2559},[146],{"categories":2561},[232],{"categories":2563},[146],{"categories":2565},[166],{"categories":2567},[229],{"categories":2569},[154],{"categories":2571},[109],{"categories":2573},[],{"categories":2575},[149],{"categories":2577},[109],{"categories":2579},[109],{"categories":2581},[188],{"categories":2583},[109],{"categories":2585},[109],{"categories":2587},[154],{"categories":2589},[109],{"categories":2591},[109],{"categories":2593},[149],{"categories":2595},[],{"categories":2597},[292],{"categories":2599},[109],{"categories":2601},[380],{"categories":2603},[229],{"categories":2605},[229],{"categories":2607},[166],{"categories":2609},[154],{"categories":2611},[109],{"categories":2613},[149],{"categories":2615},[188],{"categories":2617},[109],{"categories":2619},[109],{"categories":2621},[229],{"categories":2623},[154],{"categories":2625},[109],{"categories":2627},[109],{"categories":2629},[502],{"categories":2631},[],{"categories":2633},[109],{"categories":2635},[109],{"categories":2637},[109],{"categories":2639},[],{"categories":2641},[],{"categories":2643},[109],{"categories":2645},[109],{"categories":2647},[154],{"categories":2649},[109],{"categories":2651},[109],{"categories":2653},[109],{"categories":2655},[166],{"categories":2657},[109],{"categories":2659},[109],{"categories":2661},[154],{"categories":2663},[109],{"categories":2665},[109],{"categories":2667},[109],{"categories":2669},[109],{"categories":2671},[109],{"categories":2673},[],{"categories":2675},[166],{"categories":2677},[232],{"categories":2679},[109],{"categories":2681},[154],{"categories":2683},[109],{"categories":2685},[],{"categories":2687},[],{"categories":2689},[109],{"categories":2691},[109],{"categories":2693},[109],{"categories":2695},[188],{"categories":2697},[],{"categories":2699},[109],{"categories":2701},[229],{"categories":2703},[109],{"categories":2705},[292],{"categories":2707},[1621],{"categories":2709},[188],{"categories":2711},[166],{"categories":2713},[166],{"categories":2715},[166],{"categories":2717},[109],{"categories":2719},[188],{"categories":2721},[188],{"categories":2723},[292],{"categories":2725},[],{"categories":2727},[188],{"categories":2729},[109],{"categories":2731},[146],{"categories":2733},[166],{"categories":2735},[109],{"categories":2737},[188],{"categories":2739},[],{"categories":2741},[109],{"categories":2743},[166],{"categories":2745},[166],{"categories":2747},[232],{"categories":2749},[109],{"categories":2751},[188],{"categories":2753},[109],{"categories":2755},[166],{"categories":2757},[154],{"categories":2759},[188],{"categories":2761},[154],{"categories":2763},[292],{"categories":2765},[154],{"categories":2767},[109],{"categories":2769},[109],{"categories":2771},[166],{"categories":2773},[109],{"categories":2775},[],{"categories":2777},[154],{"categories":2779},[149],{"categories":2781},[166],{"categories":2783},[],{"categories":2785},[],{"categories":2787},[109],{"categories":2789},[154],{"categories":2791},[109],{"categories":2793},[2794],"Frameworks & Tooling",{"categories":2796},[109],{"categories":2798},[109],{"categories":2800},[166],{"categories":2802},[109],{"categories":2804},[109],{"categories":2806},[],{"categories":2808},[232],{"categories":2810},[232],{"categories":2812},[146],{"categories":2814},[154],{"categories":2816},[229],{"categories":2818},[],{"categories":2820},[1621],{"categories":2822},[109],{"categories":2824},[166],{"categories":2826},[109],{"categories":2828},[292],{"categories":2830},[292],{"categories":2832},[],{"categories":2834},[154],{"categories":2836},[188],{"categories":2838},[188],{"categories":2840},[109],{"categories":2842},[154],{"categories":2844},[],{"categories":2846},[229],{"categories":2848},[109],{"categories":2850},[109],{"categories":2852},[],{"categories":2854},[109],{"categories":2856},[109],{"categories":2858},[],{"categories":2860},[166],{"categories":2862},[109],{"categories":2864},[166],{"categories":2866},[292],{"categories":2868},[109],{"categories":2870},[109],{"categories":2872},[166],{"categories":2874},[149],{"categories":2876},[109],{"categories":2878},[1621],{"categories":2880},[],{"categories":2882},[154],{"categories":2884},[146],{"categories":2886},[109],{"categories":2888},[146],{"categories":2890},[],{"categories":2892},[154],{"categories":2894},[109],{"categories":2896},[2897],"AI Design Tooling",{"categories":2899},[229],{"categories":2901},[109],{"categories":2903},[109],{"categories":2905},[166],{"categories":2907},[229],{"categories":2909},[109],{"categories":2911},[166],{"categories":2913},[188],{"categories":2915},[157],{"categories":2917},[166],{"categories":2919},[109],{"categories":2921},[154],{"categories":2923},[],{"categories":2925},[109],{"categories":2927},[109],{"categories":2929},[154],{"categories":2931},[109],{"categories":2933},[109],{"categories":2935},[109],{"categories":2937},[],{"categories":2939},[154],{"categories":2941},[2794],{"categories":2943},[109],{"categories":2945},[154],{"categories":2947},[154],{"categories":2949},[166],{"categories":2951},[166],{"categories":2953},[],{"categories":2955},[166],{"categories":2957},[109],{"categories":2959},[109],{"categories":2961},[154],{"categories":2963},[149],{"categories":2965},[109],{"categories":2967},[],{"categories":2969},[109],{"categories":2971},[109],{"categories":2973},[1998],{"categories":2975},[],{"categories":2977},[109],{"categories":2979},[109],{"categories":2981},[109],{"categories":2983},[109],{"categories":2985},[],{"categories":2987},[109],{"categories":2989},[109],{"categories":2991},[109],{"categories":2993},[257],{"categories":2995},[188],{"categories":2997},[109],{"categories":2999},[109],{"categories":3001},[1621],{"categories":3003},[146],{"categories":3005},[109],{"categories":3007},[109],{"categories":3009},[232],{"categories":3011},[109],{"categories":3013},[188],{"categories":3015},[154],{"categories":3017},[],{"categories":3019},[109],{"categories":3021},[109],{"categories":3023},[229],{"categories":3025},[109],{"categories":3027},[257],{"categories":3029},[109],{"categories":3031},[154],{"categories":3033},[],{"categories":3035},[],{"categories":3037},[],{"categories":3039},[146],{"categories":3041},[188],{"categories":3043},[154],{"categories":3045},[109],{"categories":3047},[109],{"categories":3049},[109],{"categories":3051},[403],{"categories":3053},[229],{"categories":3055},[154],{"categories":3057},[109],{"categories":3059},[],{"categories":3061},[154],{"categories":3063},[154],{"categories":3065},[],{"categories":3067},[109],{"categories":3069},[154],{"categories":3071},[109],{"categories":3073},[],{"categories":3075},[109],{"categories":3077},[109],{"categories":3079},[188],{"categories":3081},[229],{"categories":3083},[154],{"categories":3085},[229],{"categories":3087},[154],{"categories":3089},[109],{"categories":3091},[149],{"categories":3093},[],{"categories":3095},[],{"categories":3097},[109],{"categories":3099},[109],{"categories":3101},[146],{"categories":3103},[154],{"categories":3105},[188],{"categories":3107},[],{"categories":3109},[229],{"categories":3111},[],{"categories":3113},[166],{"categories":3115},[109],{"categories":3117},[166],{"categories":3119},[229],{"categories":3121},[166],{"categories":3123},[109],{"categories":3125},[],{"categories":3127},[109],{"categories":3129},[109],{"categories":3131},[],{"categories":3133},[109],{"categories":3135},[257],{"categories":3137},[109],{"categories":3139},[292],{"categories":3141},[166],{"categories":3143},[],{"categories":3145},[154],{"categories":3147},[109],{"categories":3149},[146],{"categories":3151},[502],{"categories":3153},[109],{"categories":3155},[154],{"categories":3157},[154],{"categories":3159},[109],{"categories":3161},[109],{"categories":3163},[],{"categories":3165},[109],{"categories":3167},[146],{"categories":3169},[109],{"categories":3171},[149],{"categories":3173},[166],{"categories":3175},[229],{"categories":3177},[],{"categories":3179},[],{"categories":3181},[],{"categories":3183},[154],{"categories":3185},[166],{"categories":3187},[229],{"categories":3189},[188],{"categories":3191},[109],{"categories":3193},[188],{"categories":3195},[154],{"categories":3197},[229],{"categories":3199},[109],{"categories":3201},[],{"categories":3203},[109],{"categories":3205},[177],{"categories":3207},[154],{"categories":3209},[229],{"categories":3211},[188],{"categories":3213},[149],{"categories":3215},[166],{"categories":3217},[109],{"categories":3219},[109],{"categories":3221},[188],{"categories":3223},[257],{"categories":3225},[],{"categories":3227},[],{"categories":3229},[232],{"categories":3231},[449],{"categories":3233},[109],{"categories":3235},[154],{"categories":3237},[109,166],{"categories":3239},[188],{"categories":3241},[109],{"categories":3243},[109],{"categories":3245},[109],{"categories":3247},[109],{"categories":3249},[154],{"categories":3251},[109],{"categories":3253},[154],{"categories":3255},[109],{"categories":3257},[109],{"categories":3259},[109],{"categories":3261},[],{"categories":3263},[109],{"categories":3265},[1125],{"categories":3267},[166],{"categories":3269},[229],{"categories":3271},[109],{"categories":3273},[109],{"categories":3275},[109],{"categories":3277},[232],{"categories":3279},[154],{"categories":3281},[257],{"categories":3283},[292],{"categories":3285},[],{"categories":3287},[109],{"categories":3289},[149],{"categories":3291},[154],{"categories":3293},[146],{"categories":3295},[154],{"categories":3297},[109],{"categories":3299},[154],{"categories":3301},[157],{"categories":3303},[166],{"categories":3305},[109],{"categories":3307},[109],{"categories":3309},[],{"categories":3311},[],{"categories":3313},[],{"categories":3315},[292],{"categories":3317},[109],{"categories":3319},[188],{"categories":3321},[109],{"categories":3323},[109],{"categories":3325},[109],{"categories":3327},[109],{"categories":3329},[],{"categories":3331},[232],{"categories":3333},[149],{"categories":3335},[154],{"categories":3337},[109],{"categories":3339},[],{"categories":3341},[109],{"categories":3343},[154],{"categories":3345},[109],{"categories":3347},[292],{"categories":3349},[],{"categories":3351},[229],{"categories":3353},[229],{"categories":3355},[],{"categories":3357},[166],{"categories":3359},[109],{"categories":3361},[229],{"categories":3363},[109],{"categories":3365},[149],{"categories":3367},[154],{"categories":3369},[109],{"categories":3371},[],{"categories":3373},[188],{"categories":3375},[109],{"categories":3377},[109],{"categories":3379},[109],{"categories":3381},[229],{"categories":3383},[154],{"categories":3385},[188],{"categories":3387},[],{"categories":3389},[154],{"categories":3391},[149],{"categories":3393},[154],{"categories":3395},[229],{"categories":3397},[109],{"categories":3399},[109],{"categories":3401},[109],{"categories":3403},[449],{"categories":3405},[109],{"categories":3407},[],{"categories":3409},[109],{"categories":3411},[109],{"categories":3413},[292],{"categories":3415},[188],{"categories":3417},[232],{"categories":3419},[538],{"categories":3421},[232],{"categories":3423},[109],{"categories":3425},[],{"categories":3427},[],{"categories":3429},[],{"categories":3431},[154],{"categories":3433},[154],{"categories":3435},[166],{"categories":3437},[109],{"categories":3439},[430],{"categories":3441},[166],{"categories":3443},[109],{"categories":3445},[109],{"categories":3447},[109],{"categories":3449},[109],{"categories":3451},[154],{"categories":3453},[],{"categories":3455},[],{"categories":3457},[109],{"categories":3459},[],{"categories":3461},[109],{"categories":3463},[154],{"categories":3465},[229],{"categories":3467},[109],{"categories":3469},[109],{"categories":3471},[],{"categories":3473},[154],{"categories":3475},[157],{"categories":3477},[109],{"categories":3479},[229],{"categories":3481},[109],{"categories":3483},[154],{"categories":3485},[149],{"categories":3487},[109],{"categories":3489},[257],{"categories":3491},[154],{"categories":3493},[109],{"categories":3495},[109],{"categories":3497},[814],{"categories":3499},[109],{"categories":3501},[154],{"categories":3503},[109],{"categories":3505},[166],{"categories":3507},[109],{"categories":3509},[502],{"categories":3511},[229],{"categories":3513},[],{"categories":3515},[188],{"categories":3517},[449],{"categories":3519},[154],{"categories":3521},[109],{"categories":3523},[],{"categories":3525},[188],{"categories":3527},[380],{"categories":3529},[154],{"categories":3531},[154],{"categories":3533},[109],{"categories":3535},[109],{"categories":3537},[154],{"categories":3539},[],{"categories":3541},[149],{"categories":3543},[109],{"categories":3545},[149],{"categories":3547},[154],{"categories":3549},[],{"categories":3551},[166],{"categories":3553},[109],{"categories":3555},[109],{"categories":3557},[146],{"categories":3559},[188],{"categories":3561},[292],{"categories":3563},[177],{"categories":3565},[154],{"categories":3567},[154],{"categories":3569},[109],{"categories":3571},[154],{"categories":3573},[109],{"categories":3575},[146],{"categories":3577},[],{"categories":3579},[109],{"categories":3581},[109],{"categories":3583},[109],{"categories":3585},[154],{"categories":3587},[109],{"categories":3589},[],{"categories":3591},[],{"categories":3593},[229],{"categories":3595},[154],{"categories":3597},[109,149],{"categories":3599},[154],{"categories":3601},[109],{"categories":3603},[],{"categories":3605},[146],{"categories":3607},[232],{"categories":3609},[149],{"categories":3611},[109],{"categories":3613},[166],{"categories":3615},[109],{"categories":3617},[109],{"categories":3619},[154],{"categories":3621},[109],{"categories":3623},[109],{"categories":3625},[109],{"categories":3627},[188],{"categories":3629},[1125],{"categories":3631},[154],{"categories":3633},[109],{"categories":3635},[],{"categories":3637},[],{"categories":3639},[109],{"categories":3641},[154],{"categories":3643},[109],{"categories":3645},[109],{"categories":3647},[292],{"categories":3649},[],{"categories":3651},[109],{"categories":3653},[154],{"categories":3655},[177],{"categories":3657},[154],{"categories":3659},[449],{"categories":3661},[],{"categories":3663},[403],{"categories":3665},[154],{"categories":3667},[109],{"categories":3669},[257],{"categories":3671},[109],{"categories":3673},[232],{"categories":3675},[154],{"categories":3677},[109],{"categories":3679},[449],{"categories":3681},[109],{"categories":3683},[292],{"categories":3685},[],{"categories":3687},[109],{"categories":3689},[257],{"categories":3691},[229],{"categories":3693},[109],{"categories":3695},[109],{"categories":3697},[109],{"categories":3699},[],{"categories":3701},[257],{"categories":3703},[188],{"categories":3705},[109],{"categories":3707},[109],{"categories":3709},[538],{"categories":3711},[146],{"categories":3713},[109],{"categories":3715},[],{"categories":3717},[],{"categories":3719},[229],{"categories":3721},[109],{"categories":3723},[232],{"categories":3725},[257],{"categories":3727},[154],{"categories":3729},[109],{"categories":3731},[109],{"categories":3733},[257],{"categories":3735},[188],{"categories":3737},[],{"categories":3739},[109],{"categories":3741},[109],{"categories":3743},[],{"categories":3745},[109],{"categories":3747},[109],{"categories":3749},[561],{"categories":3751},[109],{"categories":3753},[109],{"categories":3755},[154],{"categories":3757},[166],{"categories":3759},[449],{"categories":3761},[109],{"categories":3763},[109],{"categories":3765},[109],{"categories":3767},[],{"categories":3769},[109,166],{"categories":3771},[188],{"categories":3773},[154],{"categories":3775},[166],{"categories":3777},[154],{"categories":3779},[848],{"categories":3781},[166],{"categories":3783},[109],{"categories":3785},[146],{"categories":3787},[],{"categories":3789},[],{"categories":3791},[154],{"categories":3793},[109],{"categories":3795},[166],{"categories":3797},[109],{"categories":3799},[146],{"categories":3801},[166],{"categories":3803},[166],{"categories":3805},[109],{"categories":3807},[257],{"categories":3809},[109],{"categories":3811},[166],{"categories":3813},[109],{"categories":3815},[],{"categories":3817},[109],{"categories":3819},[229,109],{"categories":3821},[292],{"categories":3823},[146],{"categories":3825},[109],{"categories":3827},[],{"categories":3829},[109],{"categories":3831},[109],{"categories":3833},[149],{"categories":3835},[149],{"categories":3837},[109],{"categories":3839},[109],{"categories":3841},[380],{"categories":3843},[109],{"categories":3845},[149],{"categories":3847},[166],{"categories":3849},[232],{"categories":3851},[154],{"categories":3853},[166],{"categories":3855},[109],{"categories":3857},[109],{"categories":3859},[188],{"categories":3861},[257],{"categories":3863},[229],{"categories":3865},[109],{"categories":3867},[109],{"categories":3869},[109],{"categories":3871},[109],{"categories":3873},[146],{"categories":3875},[109],{"categories":3877},[154],{"categories":3879},[154],{"categories":3881},[166],{"categories":3883},[188],{"categories":3885},[166],{"categories":3887},[166],{"categories":3889},[109],{"categories":3891},[],{"categories":3893},[],{"categories":3895},[232],{"categories":3897},[109],{"categories":3899},[166],{"categories":3901},[109],{"categories":3903},[229],{"categories":3905},[449],{"categories":3907},[403],{"categories":3909},[380],{"categories":3911},[109],{"categories":3913},[109],{"categories":3915},[109],{"categories":3917},[232],{"categories":3919},[109],{"categories":3921},[109],{"categories":3923},[109],{"categories":3925},[109],{"categories":3927},[109],{"categories":3929},[109],{"categories":3931},[154],{"categories":3933},[146],{"categories":3935},[154],{"categories":3937},[109,149],{"categories":3939},[],{"categories":3941},[229],{"categories":3943},[],{"categories":3945},[157],{"categories":3947},[109],{"categories":3949},[188],{"categories":3951},[146],{"categories":3953},[146],{"categories":3955},[154],{"categories":3957},[154],{"categories":3959},[154],{"categories":3961},[109],{"categories":3963},[109],{"categories":3965},[149],{"categories":3967},[154],{"categories":3969},[166],{"categories":3971},[257],{"categories":3973},[109],{"categories":3975},[],{"categories":3977},[188],{"categories":3979},[109],{"categories":3981},[109],{"categories":3983},[109],{"categories":3985},[109],{"categories":3987},[109],{"categories":3989},[166],{"categories":3991},[188],{"categories":3993},[166],{"categories":3995},[166],{"categories":3997},[109],{"categories":3999},[109],{"categories":4001},[109],{"categories":4003},[403],{"categories":4005},[109],{"categories":4007},[154],{"categories":4009},[188],{"categories":4011},[109],{"categories":4013},[109],{"categories":4015},[109],{"categories":4017},[154],{"categories":4019},[109],{"categories":4021},[109],{"categories":4023},[109],{"categories":4025},[2794],{"categories":4027},[4028],"Clinical AI",{"categories":4030},[229],{"categories":4032},[109],{"categories":4034},[109],{"categories":4036},[109],{"categories":4038},[292],{"categories":4040},[2227],{"categories":4042},[109],{"categories":4044},[157],{"categories":4046},[109],{"categories":4048},[154],{"categories":4050},[109],{"categories":4052},[109],{"categories":4054},[188],{"categories":4056},[109],{"categories":4058},[154],{"categories":4060},[166],{"categories":4062},[257],{"categories":4064},[109],{"categories":4066},[109],{"categories":4068},[149],{"categories":4070},[109],{"categories":4072},[109],{"categories":4074},[502],{"categories":4076},[109],{"categories":4078},[],{"categories":4080},[109],{"categories":4082},[166],{"categories":4084},[146],{"categories":4086},[109],{"categories":4088},[],{"categories":4090},[],{"categories":4092},[109],{"categories":4094},[],{"categories":4096},[149],{"categories":4098},[109],{"categories":4100},[154],{"categories":4102},[188],{"categories":4104},[188],{"categories":4106},[188],{"categories":4108},[188],{"categories":4110},[],{"categories":4112},[146],{"categories":4114},[154],{"categories":4116},[188],{"categories":4118},[109],{"categories":4120},[561],{"categories":4122},[157],{"categories":4124},[109],{"categories":4126},[146],{"categories":4128},[109],{"categories":4130},[154],{"categories":4132},[109],{"categories":4134},[109],{"categories":4136},[109,154],{"categories":4138},[154],{"categories":4140},[292],{"categories":4142},[188],{"categories":4144},[154],{"categories":4146},[188],{"categories":4148},[154],{"categories":4150},[109],{"categories":4152},[],{"categories":4154},[188],{"categories":4156},[257],{"categories":4158},[146],{"categories":4160},[109],{"categories":4162},[109],{"categories":4164},[],{"categories":4166},[166],{"categories":4168},[],{"categories":4170},[146],{"categories":4172},[154],{"categories":4174},[188],{"categories":4176},[109],{"categories":4178},[188],{"categories":4180},[146],{"categories":4182},[188],{"categories":4184},[188],{"categories":4186},[],{"categories":4188},[149],{"categories":4190},[154],{"categories":4192},[188],{"categories":4194},[188],{"categories":4196},[188],{"categories":4198},[188],{"categories":4200},[188],{"categories":4202},[188],{"categories":4204},[188],{"categories":4206},[188],{"categories":4208},[188],{"categories":4210},[188],{"categories":4212},[232],{"categories":4214},[146],{"categories":4216},[109],{"categories":4218},[109],{"categories":4220},[154],{"categories":4222},[154],{"categories":4224},[],{"categories":4226},[109],{"categories":4228},[109,146],{"categories":4230},[],{"categories":4232},[154],{"categories":4234},[109],{"categories":4236},[188],{"categories":4238},[154],{"categories":4240},[848],{"categories":4242},[109],{"categories":4244},[109],{"categories":4246},[109],{"categories":4248},[109],{"categories":4250},[109],{"categories":4252},[380],{"categories":4254},[109],{"categories":4256},[154],{"categories":4258},[149],{"categories":4260},[154],{"categories":4262},[154],{"categories":4264},[],{"categories":4266},[154],{"categories":4268},[229],{"categories":4270},[188],{"categories":4272},[109],{"categories":4274},[],{"categories":4276},[157],{"categories":4278},[],{"categories":4280},[166],{"categories":4282},[154],{"categories":4284},[229],{"categories":4286},[109],{"categories":4288},[],{"categories":4290},[109],{"categories":4292},[],{"categories":4294},[257],{"categories":4296},[109],{"categories":4298},[],{"categories":4300},[],{"categories":4302},[188],{"categories":4304},[146],{"categories":4306},[109],{"categories":4308},[109],{"categories":4310},[149],{"categories":4312},[109],{"categories":4314},[109],{"categories":4316},[109],{"categories":4318},[149],{"categories":4320},[149],{"categories":4322},[229],{"categories":4324},[],{"categories":4326},[109],{"categories":4328},[188],{"categories":4330},[],{"categories":4332},[109],{"categories":4334},[109],{"categories":4336},[229],{"categories":4338},[109],{"categories":4340},[257],{"categories":4342},[109],{"categories":4344},[292],{"categories":4346},[],{"categories":4348},[154],{"categories":4350},[257],{"categories":4352},[166],{"categories":4354},[],{"categories":4356},[109],{"categories":4358},[],{"categories":4360},[154],{"categories":4362},[229],{"categories":4364},[166],{"categories":4366},[],{"categories":4368},[2794],{"categories":4370},[149],{"categories":4372},[146],{"categories":4374},[109],{"categories":4376},[232],{"categories":4378},[154],{"categories":4380},[229],{"categories":4382},[166],{"categories":4384},[],{"categories":4386},[],{"categories":4388},[109],{"categories":4390},[146],{"categories":4392},[109],{"categories":4394},[257],{"categories":4396},[],{"categories":4398},[154],{"categories":4400},[154],{"categories":4402},[109],{"categories":4404},[154],{"categories":4406},[109],{"categories":4408},[188],{"categories":4410},[166],{"categories":4412},[109],{"categories":4414},[154],{"categories":4416},[157],{"categories":4418},[109],{"categories":4420},[109],{"categories":4422},[154],{"categories":4424},[109],{"categories":4426},[157],{"categories":4428},[257],{"categories":4430},[188],{"categories":4432},[],{"categories":4434},[257],{"categories":4436},[109],{"categories":4438},[],{"categories":4440},[166],{"categories":4442},[154],{"categories":4444},[],{"categories":4446},[109],{"categories":4448},[109],{"categories":4450},[109],{"categories":4452},[109],{"categories":4454},[109],{"categories":4456},[154],{"categories":4458},[149],{"categories":4460},[146],{"categories":4462},[109],{"categories":4464},[229],{"categories":4466},[166],{"categories":4468},[166],{"categories":4470},[109],{"categories":4472},[232],{"categories":4474},[154],{"categories":4476},[109],{"categories":4478},[109],{"categories":4480},[154],{"categories":4482},[109],{"categories":4484},[149],{"categories":4486},[229],{"categories":4488},[166],{"categories":4490},[154],{"categories":4492},[109],{"categories":4494},[157],{"categories":4496},[109],{"categories":4498},[154],{"categories":4500},[109],{"categories":4502},[188],{"categories":4504},[],{"categories":4506},[146],{"categories":4508},[109],{"categories":4510},[109],{"categories":4512},[109],{"categories":4514},[166],{"categories":4516},[166],{"categories":4518},[109],{"categories":4520},[166],{"categories":4522},[109],{"categories":4524},[154],{"categories":4526},[109],{"categories":4528},[109],{"categories":4530},[109],{"categories":4532},[109],{"categories":4534},[109],{"categories":4536},[],{"categories":4538},[109],{"categories":4540},[229],{"categories":4542},[149],{"categories":4544},[188],{"categories":4546},[109],{"categories":4548},[154],{"categories":4550},[109],{"categories":4552},[109],{"categories":4554},[229],{"categories":4556},[154],{"categories":4558},[109],{"categories":4560},[257],{"categories":4562},[109],{"categories":4564},[232],{"categories":4566},[109],{"categories":4568},[109],{"categories":4570},[188],{"categories":4572},[109],{"categories":4574},[109],{"categories":4576},[109],{"categories":4578},[154],{"categories":4580},[292],{"categories":4582},[109],{"categories":4584},[166],{"categories":4586},[154],{"categories":4588},[232],{"categories":4590},[],{"categories":4592},[154],{"categories":4594},[166],{"categories":4596},[109],{"categories":4598},[109],{"categories":4600},[2077],{"categories":4602},[229],{"categories":4604},[321],{"categories":4606},[109],{"categories":4608},[109],{"categories":4610},[109],{"categories":4612},[146],{"categories":4614},[109],{"categories":4616},[166],{"categories":4618},[149],{"categories":4620},[166],{"categories":4622},[109],{"categories":4624},[],{"categories":4626},[154],{"categories":4628},[154],{"categories":4630},[109],{"categories":4632},[109],{"categories":4634},[232],{"categories":4636},[],{"categories":4638},[188],{"categories":4640},[],{"categories":4642},[188],{"categories":4644},[109],{"categories":4646},[109],{"categories":4648},[154],{"categories":4650},[109],{"categories":4652},[154],{"categories":4654},[154],{"categories":4656},[],{"categories":4658},[188],{"categories":4660},[109],{"categories":4662},[],{"categories":4664},[109],{"categories":4666},[109],{"categories":4668},[],{"categories":4670},[229],{"categories":4672},[166],{"categories":4674},[154],{"categories":4676},[109],{"categories":4678},[109],{"categories":4680},[257],{"categories":4682},[109],{"categories":4684},[109],{"categories":4686},[109],{"categories":4688},[146],{"categories":4690},[109],{"categories":4692},[109],{"categories":4694},[],{"categories":4696},[109],{"categories":4698},[109],{"categories":4700},[],{"categories":4702},[146],{"categories":4704},[188],{"categories":4706},[166],{"categories":4708},[157],{"categories":4710},[449],{"categories":4712},[109],{"categories":4714},[109],{"categories":4716},[109],{"categories":4718},[166],{"categories":4720},[188],{"categories":4722},[229],{"categories":4724},[109],{"categories":4726},[109],{"categories":4728},[109],{"categories":4730},[109],{"categories":4732},[188],{"categories":4734},[229],{"categories":4736},[109],{"categories":4738},[109],{"categories":4740},[188],{"categories":4742},[229],{"categories":4744},[109],{"categories":4746},[188],{"categories":4748},[154],{"categories":4750},[154],{"categories":4752},[154],{"categories":4754},[166],{"categories":4756},[188],{"categories":4758},[154],{"categories":4760},[154],{"categories":4762},[109],{"categories":4764},[166],{"categories":4766},[229],{"categories":4768},[109],{"categories":4770},[109],{"categories":4772},[],{"categories":4774},[154],{"categories":4776},[],{"categories":4778},[109],{"categories":4780},[109],{"categories":4782},[],{"categories":4784},[],{"categories":4786},[154],{"categories":4788},[149],{"categories":4790},[154],{"categories":4792},[4793],"Liability & Ethics",{"categories":4795},[109],{"categories":4797},[154],{"categories":4799},[146],{"categories":4801},[154],{"categories":4803},[149],{"categories":4805},[257],{"categories":4807},[154],{"categories":4809},[109],{"categories":4811},[],{"categories":4813},[538],{"categories":4815},[154],{"categories":4817},[],{"categories":4819},[146],{"categories":4821},[154],{"categories":4823},[],{"categories":4825},[154],{"categories":4827},[109],{"categories":4829},[109],{"categories":4831},[109],{"categories":4833},[188],{"categories":4835},[109],{"categories":4837},[109],{"categories":4839},[154],{"categories":4841},[109],{"categories":4843},[109],{"categories":4845},[109],{"categories":4847},[188],{"categories":4849},[154],{"categories":4851},[166],{"categories":4853},[229],{"categories":4855},[146],{"categories":4857},[109],{"categories":4859},[109],{"categories":4861},[],{"categories":4863},[154],{"categories":4865},[154],{"categories":4867},[154],{"categories":4869},[449],{"categories":4871},[229],{"categories":4873},[154],{"categories":4875},[292],{"categories":4877},[188],{"categories":4879},[109],{"categories":4881},[229],{"categories":4883},[109],{"categories":4885},[146],{"categories":4887},[],{"categories":4889},[154],{"categories":4891},[109],{"categories":4893},[109],{"categories":4895},[154],{"categories":4897},[109],{"categories":4899},[229],{"categories":4901},[],{"categories":4903},[154],{"categories":4905},[157],{"categories":4907},[188],{"categories":4909},[154],{"categories":4911},[149],{"categories":4913},[],{"categories":4915},[109],{"categories":4917},[157],{"categories":4919},[109],{"categories":4921},[154],{"categories":4923},[188],{"categories":4925},[146],{"categories":4927},[292],{"categories":4929},[109],{"categories":4931},[109],{"categories":4933},[109],{"categories":4935},[188],{"categories":4937},[149],{"categories":4939},[109],{"categories":4941},[229],{"categories":4943},[188],{"categories":4945},[292],{"categories":4947},[109],{"categories":4949},[154],{"categories":4951},[],{"categories":4953},[502],{"categories":4955},[],{"categories":4957},[109],{"categories":4959},[292],{"categories":4961},[232],{"categories":4963},[154],{"categories":4965},[154],{"categories":4967},[4968],"Design News & Tools",{"categories":4970},[109],{"categories":4972},[188],{"categories":4974},[109],{"categories":4976},[109],{"categories":4978},[146],{"categories":4980},[109],{"categories":4982},[229],{"categories":4984},[154],{"categories":4986},[154],{"categories":4988},[229],{"categories":4990},[109],{"categories":4992},[449],{"categories":4994},[154],{"categories":4996},[109],{"categories":4998},[109],{"categories":5000},[449],{"categories":5002},[109],{"categories":5004},[257],{"categories":5006},[109],{"categories":5008},[154],{"categories":5010},[],{"categories":5012},[109],{"categories":5014},[109],{"categories":5016},[109],{"categories":5018},[188],{"categories":5020},[146],{"categories":5022},[],{"categories":5024},[109],{"categories":5026},[109],{"categories":5028},[166],{"categories":5030},[561],{"categories":5032},[166],{"categories":5034},[229],{"categories":5036},[109],{"categories":5038},[109,154],{"categories":5040},[257,149],{"categories":5042},[109],{"categories":5044},[109],{"categories":5046},[109],{"categories":5048},[],{"categories":5050},[154],{"categories":5052},[],{"categories":5054},[166],{"categories":5056},[109],{"categories":5058},[166],{"categories":5060},[],{"categories":5062},[154],{"categories":5064},[109],{"categories":5066},[188],{"categories":5068},[109],{"categories":5070},[],{"categories":5072},[154],{"categories":5074},[109],{"categories":5076},[],{"categories":5078},[229],{"categories":5080},[109],{"categories":5082},[109],{"categories":5084},[154],{"categories":5086},[109],{"categories":5088},[109],{"categories":5090},[146],{"categories":5092},[154],{"categories":5094},[109],{"categories":5096},[],{"categories":5098},[292],{"categories":5100},[257],{"categories":5102},[149],{"categories":5104},[149],{"categories":5106},[109],{"categories":5108},[146],{"categories":5110},[146],{"categories":5112},[109],{"categories":5114},[154],{"categories":5116},[109],{"categories":5118},[109],{"categories":5120},[109],{"categories":5122},[109],{"categories":5124},[166],{"categories":5126},[109],{"categories":5128},[146],{"categories":5130},[109],{"categories":5132},[154],{"categories":5134},[109],{"categories":5136},[257],{"categories":5138},[109],{"categories":5140},[188],{"categories":5142},[109],{"categories":5144},[109],{"categories":5146},[154],{"categories":5148},[109],{"categories":5150},[154],{"categories":5152},[],{"categories":5154},[166],{"categories":5156},[],{"categories":5158},[166],{"categories":5160},[154],{"categories":5162},[146],{"categories":5164},[],{"categories":5166},[232],{"categories":5168},[292],{"categories":5170},[109],{"categories":5172},[166],{"categories":5174},[109],{"categories":5176},[],{"categories":5178},[188],{"categories":5180},[154],{"categories":5182},[166],{"categories":5184},[229],{"categories":5186},[109],{"categories":5188},[109],{"categories":5190},[154],{"categories":5192},[166],{"categories":5194},[154],{"categories":5196},[188],{"categories":5198},[109],{"categories":5200},[157],{"categories":5202},[146],{"categories":5204},[157],{"categories":5206},[188],{"categories":5208},[166],{"categories":5210},[109],{"categories":5212},[229],{"categories":5214},[149],{"categories":5216},[109],{"categories":5218},[109],{"categories":5220},[109],{"categories":5222},[109],{"categories":5224},[109],{"categories":5226},[109],{"categories":5228},[154],{"categories":5230},[109],{"categories":5232},[154],{"categories":5234},[109],{"categories":5236},[109],{"categories":5238},[146],{"categories":5240},[109],{"categories":5242},[154],{"categories":5244},[154],{"categories":5246},[229],{"categories":5248},[154],{"categories":5250},[154],{"categories":5252},[146],{"categories":5254},[154],{"categories":5256},[229],{"categories":5258},[],{"categories":5260},[109],{"categories":5262},[232],{"categories":5264},[449],{"categories":5266},[109],{"categories":5268},[109],{"categories":5270},[109],{"categories":5272},[166],{"categories":5274},[109],{"categories":5276},[],{"categories":5278},[109],{"categories":5280},[154],{"categories":5282},[257],{"categories":5284},[109],{"categories":5286},[188],{"categories":5288},[154],{"categories":5290},[109],{"categories":5292},[257],{"categories":5294},[154],{"categories":5296},[149],{"categories":5298},[149],{"categories":5300},[109],{"categories":5302},[109],{"categories":5304},[109],{"categories":5306},[146],{"categories":5308},[],{"categories":5310},[109],{"categories":5312},[109],{"categories":5314},[154],{"categories":5316},[154],{"categories":5318},[109],{"categories":5320},[109],{"categories":5322},[109],{"categories":5324},[166],{"categories":5326},[],{"categories":5328},[146],{"categories":5330},[109],{"categories":5332},[109],{"categories":5334},[154],{"categories":5336},[154],{"categories":5338},[],{"categories":5340},[166],{"categories":5342},[166],{"categories":5344},[109],{"categories":5346},[257],{"categories":5348},[149],{"categories":5350},[229],{"categories":5352},[],{"categories":5354},[109],{"categories":5356},[154],{"categories":5358},[146],{"categories":5360},[109],{"categories":5362},[109],{"categories":5364},[166],{"categories":5366},[146],{"categories":5368},[109],{"categories":5370},[188],{"categories":5372},[232],{"categories":5374},[188],{"categories":5376},[154],{"categories":5378},[],{"categories":5380},[188],{"categories":5382},[154],{"categories":5384},[229],{"categories":5386},[232],{"categories":5388},[109],{"categories":5390},[],{"categories":5392},[154],{"categories":5394},[154],{"categories":5396},[2794],{"categories":5398},[188],{"categories":5400},[166],{"categories":5402},[109],{"categories":5404},[109],{"categories":5406},[109],{"categories":5408},[109],{"categories":5410},[149],{"categories":5412},[109],{"categories":5414},[146],{"categories":5416},[1621],{"categories":5418},[292],{"categories":5420},[146],{"categories":5422},[],{"categories":5424},[],{"categories":5426},[188],{"categories":5428},[154],{"categories":5430},[229],{"categories":5432},[109],{"categories":5434},[188],{"categories":5436},[],{"categories":5438},[154],{"categories":5440},[154],{"categories":5442},[154],{"categories":5444},[],{"categories":5446},[109],{"categories":5448},[],{"categories":5450},[188],{"categories":5452},[146],{"categories":5454},[229],{"categories":5456},[109],{"categories":5458},[154],{"categories":5460},[188],{"categories":5462},[109],{"categories":5464},[188],{"categories":5466},[],{"categories":5468},[188],{"categories":5470},[146],{"categories":5472},[449],{"categories":5474},[154],{"categories":5476},[109],{"categories":5478},[],{"categories":5480},[166],{"categories":5482},[154],{"categories":5484},[157],{"categories":5486},[154],{"categories":5488},[146],{"categories":5490},[],{"categories":5492},[],{"categories":5494},[],{"categories":5496},[229],{"categories":5498},[154],{"categories":5500},[109],{"categories":5502},[109],{"categories":5504},[],{"categories":5506},[],{"categories":5508},[],{"categories":5510},[109],{"categories":5512},[229],{"categories":5514},[109],{"categories":5516},[],{"categories":5518},[154],{"categories":5520},[109],{"categories":5522},[109],{"categories":5524},[146],{"categories":5526},[],{"categories":5528},[],{"categories":5530},[109],{"categories":5532},[229],{"categories":5534},[109],{"categories":5536},[188],{"categories":5538},[],{"categories":5540},[109],{"categories":5542},[257],{"categories":5544},[188],{"categories":5546},[257],{"categories":5548},[232],{"categories":5550},[109],{"categories":5552},[109],{"categories":5554},[],{"categories":5556},[],{"categories":5558},[154],{"categories":5560},[],{"categories":5562},[109],{"categories":5564},[449],{"categories":5566},[109],{"categories":5568},[109],{"categories":5570},[109],{"categories":5572},[109],{"categories":5574},[],{"categories":5576},[154],{"categories":5578},[109],{"categories":5580},[109],{"categories":5582},[],{"categories":5584},[154],{"categories":5586},[109],{"categories":5588},[188],{"categories":5590},[109],{"categories":5592},[257],{"categories":5594},[149],{"categories":5596},[109],{"categories":5598},[109],{"categories":5600},[154],{"categories":5602},[232],{"categories":5604},[154],{"categories":5606},[154],{"categories":5608},[],{"categories":5610},[154],{"categories":5612},[],{"categories":5614},[109],{"categories":5616},[],{"categories":5618},[188],{"categories":5620},[149],{"categories":5622},[],{"categories":5624},[109],{"categories":5626},[],{"categories":5628},[229],{"categories":5630},[146],{"categories":5632},[],{"categories":5634},[149],{"categories":5636},[257],{"categories":5638},[109],{"categories":5640},[166],{"categories":5642},[146],{"categories":5644},[232],{"categories":5646},[149],{"categories":5648},[166],{"categories":5650},[154],{"categories":5652},[166],{"categories":5654},[],{"categories":5656},[157],{"categories":5658},[109],{"categories":5660},[],{"categories":5662},[154],{"categories":5664},[146],{"categories":5666},[229],{"categories":5668},[109],{"categories":5670},[146],{"categories":5672},[154],{"categories":5674},[292],{"categories":5676},[109],{"categories":5678},[109],{"categories":5680},[109],{"categories":5682},[146],{"categories":5684},[232],{"categories":5686},[154],{"categories":5688},[],{"categories":5690},[109],{"categories":5692},[109],{"categories":5694},[109],{"categories":5696},[166],{"categories":5698},[154],{"categories":5700},[188],{"categories":5702},[166],{"categories":5704},[109],{"categories":5706},[157],{"categories":5708},[],{"categories":5710},[229],{"categories":5712},[188],{"categories":5714},[146],{"categories":5716},[154],{"categories":5718},[109],{"categories":5720},[109],{"categories":5722},[154],{"categories":5724},[157],{"categories":5726},[109],{"categories":5728},[154],{"categories":5730},[109],{"categories":5732},[149],{"categories":5734},[154],{"categories":5736},[154,292],{"categories":5738},[109],{"categories":5740},[109],{"categories":5742},[154],{"categories":5744},[166],{"categories":5746},[109],{"categories":5748},[109],{"categories":5750},[232],{"categories":5752},[154],{"categories":5754},[257],{"categories":5756},[154],{"categories":5758},[149],{"categories":5760},[],{"categories":5762},[154],{"categories":5764},[109],{"categories":5766},[149],{"categories":5768},[],{"categories":5770},[],{"categories":5772},[166],{"categories":5774},[109],{"categories":5776},[109],{"categories":5778},[154],{"categories":5780},[232],{"categories":5782},[257],{"categories":5784},[109],{"categories":5786},[109],{"categories":5788},[154],{"categories":5790},[],{"categories":5792},[154],{"categories":5794},[188],{"categories":5796},[154],{"categories":5798},[],{"categories":5800},[188],{"categories":5802},[166],{"categories":5804},[2794],{"categories":5806},[146],{"categories":5808},[166],{"categories":5810},[109],{"categories":5812},[154],{"categories":5814},[109],{"categories":5816},[109],{"categories":5818},[257],{"categories":5820},[166],{"categories":5822},[],{"categories":5824},[188],{"categories":5826},[109],{"categories":5828},[],{"categories":5830},[154],{"categories":5832},[109],{"categories":5834},[109],{"categories":5836},[109],{"categories":5838},[109],{"categories":5840},[154],{"categories":5842},[109],{"categories":5844},[109],{"categories":5846},[157],{"categories":5848},[109],{"categories":5850},[154],{"categories":5852},[109],{"categories":5854},[109],{"categories":5856},[109],{"categories":5858},[109],{"categories":5860},[109],{"categories":5862},[109],{"categories":5864},[149],{"categories":5866},[],{"categories":5868},[157],{"categories":5870},[188],{"categories":5872},[154],{"categories":5874},[109],{"categories":5876},[166],{"categories":5878},[],{"categories":5880},[166],{"categories":5882},[166],{"categories":5884},[154],{"categories":5886},[166],{"categories":5888},[109],{"categories":5890},[109],{"categories":5892},[109],{"categories":5894},[154],{"categories":5896},[166],{"categories":5898},[109],{"categories":5900},[109],{"categories":5902},[154],{"categories":5904},[188],{"categories":5906},[109],{"categories":5908},[109],{"categories":5910},[109],{"categories":5912},[149],{"categories":5914},[109],{"categories":5916},[154],{"categories":5918},[229],{"categories":5920},[],{"categories":5922},[109],{"categories":5924},[232],{"categories":5926},[154],{"categories":5928},[109],{"categories":5930},[109],{"categories":5932},[],{"categories":5934},[109],{"categories":5936},[109],{"categories":5938},[188],{"categories":5940},[109],{"categories":5942},[109],{"categories":5944},[154],{"categories":5946},[257],{"categories":5948},[],{"categories":5950},[],{"categories":5952},[166],{"categories":5954},[109],{"categories":5956},[188],{"categories":5958},[109],{"categories":5960},[166],{"categories":5962},[188],{"categories":5964},[109],{"categories":5966},[257],{"categories":5968},[232],{"categories":5970},[109],{"categories":5972},[146],{"categories":5974},[154],{"categories":5976},[109],{"categories":5978},[154],{"categories":5980},[154],{"categories":5982},[109],{"categories":5984},[149],{"categories":5986},[],{"categories":5988},[232],{"categories":5990},[109],{"categories":5992},[],{"categories":5994},[188],{"categories":5996},[109],{"categories":5998},[232],{"categories":6000},[109],{"categories":6002},[166],{"categories":6004},[166],{"categories":6006},[166],{"categories":6008},[154],{"categories":6010},[154],{"categories":6012},[109],{"categories":6014},[154],{"categories":6016},[109],{"categories":6018},[109],{"categories":6020},[229],{"categories":6022},[232],{"categories":6024},[232],{"categories":6026},[],{"categories":6028},[188],{"categories":6030},[109],{"categories":6032},[109],{"categories":6034},[166],{"categories":6036},[],{"categories":6038},[188],{"categories":6040},[188],{"categories":6042},[188],{"categories":6044},[],{"categories":6046},[154],{"categories":6048},[109],{"categories":6050},[],{"categories":6052},[146],{"categories":6054},[149],{"categories":6056},[],{"categories":6058},[109],{"categories":6060},[109],{"categories":6062},[],{"categories":6064},[166],{"categories":6066},[],{"categories":6068},[],{"categories":6070},[],{"categories":6072},[],{"categories":6074},[109],{"categories":6076},[188],{"categories":6078},[],{"categories":6080},[],{"categories":6082},[109],{"categories":6084},[109],{"categories":6086},[109],{"categories":6088},[232],{"categories":6090},[109],{"categories":6092},[232],{"categories":6094},[],{"categories":6096},[232],{"categories":6098},[232],{"categories":6100},[292],{"categories":6102},[154],{"categories":6104},[166],{"categories":6106},[],{"categories":6108},[],{"categories":6110},[232],{"categories":6112},[166],{"categories":6114},[166],{"categories":6116},[166],{"categories":6118},[],{"categories":6120},[146],{"categories":6122},[166],{"categories":6124},[166],{"categories":6126},[146],{"categories":6128},[166],{"categories":6130},[149],{"categories":6132},[166],{"categories":6134},[166],{"categories":6136},[166],{"categories":6138},[232],{"categories":6140},[188],{"categories":6142},[188],{"categories":6144},[109],{"categories":6146},[166],{"categories":6148},[232],{"categories":6150},[292],{"categories":6152},[232],{"categories":6154},[232],{"categories":6156},[232],{"categories":6158},[],{"categories":6160},[149],{"categories":6162},[],{"categories":6164},[292],{"categories":6166},[166],{"categories":6168},[166],{"categories":6170},[166],{"categories":6172},[154],{"categories":6174},[188,149],{"categories":6176},[232],{"categories":6178},[],{"categories":6180},[],{"categories":6182},[232],{"categories":6184},[],{"categories":6186},[232],{"categories":6188},[188],{"categories":6190},[154],{"categories":6192},[],{"categories":6194},[166],{"categories":6196},[109],{"categories":6198},[229],{"categories":6200},[],{"categories":6202},[109],{"categories":6204},[],{"categories":6206},[188],{"categories":6208},[146],{"categories":6210},[232],{"categories":6212},[],{"categories":6214},[166],{"categories":6216},[188],[6218,6317,6393,6471],{"id":6219,"title":6220,"ai":6221,"body":6226,"categories":6296,"created_at":110,"date_modified":110,"description":99,"extension":111,"faq":110,"featured":112,"kicker_label":110,"meta":6297,"navigation":125,"path":6306,"published_at":6307,"question":110,"scraped_at":6307,"seo":6308,"sitemap":6309,"source_id":6310,"source_name":131,"source_type":132,"source_url":6302,"stem":6311,"tags":6312,"thumbnail_url":110,"tldr":6314,"tweet":110,"unknown_tags":6315,"__hash__":6316},"summaries\u002Fsummaries\u002Fa2e69b3ac342f3a6-decomposing-ai-workflows-into-reusable-skills-summary.md","Decomposing AI Workflows into Reusable Skills",{"provider":7,"model":8,"input_tokens":6222,"output_tokens":6223,"processing_time_ms":6224,"cost_usd":6225},4073,581,3472,0.00188975,{"type":14,"value":6227,"toc":6292},[6228,6232,6235,6261,6265,6268,6289],[17,6229,6231],{"id":6230},"the-four-pillar-decomposition-framework","The Four-Pillar Decomposition Framework",[22,6233,6234],{},"The 'Workflow-to-Skill' (W2S) approach addresses the common challenge of monolithic AI agent architectures by breaking down complex tasks into a structured, modular format. By separating the logic of a skill into four distinct dimensions, developers can create more reusable and maintainable AI components:",[43,6236,6237,6243,6249,6255],{},[46,6238,6239,6242],{},[26,6240,6241],{},"Routing:"," Defines the decision-making logic that determines when and how a specific skill should be invoked based on input context.",[46,6244,6245,6248],{},[26,6246,6247],{},"Workflow:"," Maps the sequence of operations or sub-tasks required to execute the skill, effectively acting as the 'control flow' for the agent's action.",[46,6250,6251,6254],{},[26,6252,6253],{},"Semantics:"," Encapsulates the domain-specific knowledge and definitions required to interpret inputs and generate meaningful outputs, ensuring the agent 'understands' the context of the task.",[46,6256,6257,6260],{},[26,6258,6259],{},"Attachments:"," Manages external dependencies, such as API keys, database connections, or specific file assets, that are required for the skill to interact with the real world.",[17,6262,6264],{"id":6263},"improving-agent-modularity-and-scalability","Improving Agent Modularity and Scalability",[22,6266,6267],{},"By decoupling these four elements, the W2S framework allows builders to treat AI capabilities as discrete 'skills' rather than hard-coded logic. This modularity provides several practical advantages for production systems:",[6269,6270,6271,6277,6283],"ol",{},[46,6272,6273,6276],{},[26,6274,6275],{},"Reusability:"," Once a 'Workflow' or 'Semantics' block is defined for a specific domain, it can be reused across different agent implementations without modification.",[46,6278,6279,6282],{},[26,6280,6281],{},"Debugging:"," Isolating failures becomes significantly easier; a developer can determine if an issue stems from the routing logic, the workflow sequence, or the semantic interpretation of the data.",[46,6284,6285,6288],{},[26,6286,6287],{},"Dynamic Composition:"," Agents can dynamically assemble skills at runtime, selecting the appropriate routing and workflow paths based on the user's intent, rather than relying on rigid, pre-defined chains.",[22,6290,6291],{},"This approach shifts the paradigm from building 'all-in-one' agents to building a library of specialized skills that can be orchestrated to handle complex, multi-step business processes.",{"title":99,"searchDepth":100,"depth":100,"links":6293},[6294,6295],{"id":6230,"depth":100,"text":6231},{"id":6263,"depth":100,"text":6264},[109],{"content_references":6298,"triage":6304},[6299],{"type":116,"title":6300,"author":6301,"url":6302,"context":6303},"Workflow-to-Skill: Skill Creation via Routing-Workflow-Semantics-Attachments Decomposition","arXiv","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.06893","cited",{"relevance":121,"novelty":122,"quality":122,"actionability":122,"composite":123,"reasoning":6305},"Category: AI Automation. The article presents a structured framework for decomposing AI workflows into reusable skills, addressing a key pain point for developers in creating modular AI agents. It offers practical advantages such as reusability and easier debugging, which are directly applicable to building AI-powered products.","\u002Fsummaries\u002Fa2e69b3ac342f3a6-decomposing-ai-workflows-into-reusable-skills-summary","2026-06-08 12:56:53",{"title":6220,"description":99},{"loc":6306},"a2e69b3ac342f3a6","summaries\u002Fa2e69b3ac342f3a6-decomposing-ai-workflows-into-reusable-skills-summary",[135,6313,136],"automation","The 'Workflow-to-Skill' framework improves AI agent modularity by decomposing complex processes into four distinct components: Routing, Workflow, Semantics, and Attachments.",[136],"V8SKbx2bTbTlIPpKlB35j-kcY7_UI_GghVKHsne5GyY",{"id":6318,"title":6319,"ai":6320,"body":6325,"categories":6371,"created_at":110,"date_modified":110,"description":99,"extension":111,"faq":110,"featured":112,"kicker_label":110,"meta":6372,"navigation":125,"path":6376,"published_at":6377,"question":110,"scraped_at":6378,"seo":6379,"sitemap":6380,"source_id":6381,"source_name":6382,"source_type":6383,"source_url":6384,"stem":6385,"tags":6386,"thumbnail_url":6388,"tldr":6389,"tweet":6390,"unknown_tags":6391,"__hash__":6392},"summaries\u002Fsummaries\u002Fa2c34f823e599763-designing-ai-agents-to-minimize-hallucination-summary.md","Designing AI Agents to Minimize Hallucination",{"provider":7,"model":8,"input_tokens":6321,"output_tokens":6322,"processing_time_ms":6323,"cost_usd":6324},5508,583,3216,0.0022515,{"type":14,"value":6326,"toc":6367},[6327,6331,6334,6338,6341],[17,6328,6330],{"id":6329},"why-agents-hallucinate","Why Agents Hallucinate",[22,6332,6333],{},"AI hallucination is not a traditional software bug; it is a fundamental feature of how Large Language Models (LLMs) function. Models are trained to predict the next token in a sequence, prioritizing fluency and confidence over factual truth. When data is ambiguous or missing, the model does not pause to ask for clarification; it improvises a plausible-sounding answer to complete the pattern. This behavior is exacerbated by training regimes that reward confidence and penalize hesitation, leading to models that can be dangerously overconfident in their errors.",[17,6335,6337],{"id":6336},"moving-from-prediction-to-verification","Moving from Prediction to Verification",[22,6339,6340],{},"As systems evolve from simple chatbots to autonomous agents that plan and execute tasks, the risk profile shifts. While agents can reduce hallucination by using tools, they also introduce new risks by taking real-world actions (e.g., updating database fields or scheduling meetings) based on incorrect reasoning. To mitigate this, developers must move from pure text prediction to verification-based architectures:",[43,6342,6343,6349,6355,6361],{},[46,6344,6345,6348],{},[26,6346,6347],{},"Grounding in Truth:"," Connect agents to live, authoritative data sources (CRMs, APIs, internal repositories) rather than relying on the model's static internal memory. This acts like a GPS with real-time traffic data versus a static map.",[46,6350,6351,6354],{},[26,6352,6353],{},"Tool-Based Reasoning:"," Force agents to use external tools (calculators, search APIs) to compute or verify information. If an agent is asked for a calculation, it should perform the math via code rather than predicting the result from memory.",[46,6356,6357,6360],{},[26,6358,6359],{},"Strict Scope Definition:"," Hallucination often occurs when agents operate outside their domain of expertise. Explicitly define the agent's \"lanes\"—what it can do, where its data originates, and which workflows require explicit human authorization.",[46,6362,6363,6366],{},[26,6364,6365],{},"Human-in-the-Loop:"," For high-stakes decisions, treat the AI as a generator of a \"first draft.\" A human must remain in the loop to provide the judgment, context, and accountability that models currently lack. This is analogous to using cruise control: the system handles the steady state, but a human must remain in the driver's seat for complex maneuvers.",{"title":99,"searchDepth":100,"depth":100,"links":6368},[6369,6370],{"id":6329,"depth":100,"text":6330},{"id":6336,"depth":100,"text":6337},[109],{"content_references":6373,"triage":6374},[],{"relevance":121,"novelty":122,"quality":122,"actionability":122,"composite":123,"reasoning":6375},"Category: AI & LLMs. The article addresses the critical issue of AI hallucination in agents, providing actionable strategies like grounding in real-time data and tool-based verification, which are directly relevant to developers building AI-powered products.","\u002Fsummaries\u002Fa2c34f823e599763-designing-ai-agents-to-minimize-hallucination-summary","2026-08-02 11:00:16","2026-08-03 03:08:52",{"title":6319,"description":99},{"loc":6376},"a2c34f823e599763","IBM Technology","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=bNRhppHct54","summaries\u002Fa2c34f823e599763-designing-ai-agents-to-minimize-hallucination-summary",[135,6387,6313,136],"ai-tools","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FbNRhppHct54\u002Fhqdefault.jpg","AI agents hallucinate because they are trained to prioritize fluent, confident pattern completion over factual accuracy. You can mitigate this by grounding agents in real-time data, enforcing tool-based verification, strictly defining operational scope, and implementing human-in-the-loop oversight.","This is a high-level conceptual overview of why AI agents hallucinate and how to mitigate those risks through [data grounding](https:\u002F\u002Fibm.biz\u002F~UAoGwgNhw), tool-based reasoning, and human-in-the-loop design. It functions as a primer for developers and managers on why \"confidence\" in LLMs is often a byproduct of their training rather than a measure of factual accuracy.",[136],"77q3yETaZGwI7LhyGhEFgX-RxMDvKt9E4wFNxIoMr3M",{"id":6394,"title":6395,"ai":6396,"body":6401,"categories":6449,"created_at":110,"date_modified":110,"description":99,"extension":111,"faq":110,"featured":112,"kicker_label":110,"meta":6450,"navigation":125,"path":6459,"published_at":6460,"question":110,"scraped_at":6460,"seo":6461,"sitemap":6462,"source_id":6463,"source_name":131,"source_type":132,"source_url":6454,"stem":6464,"tags":6465,"thumbnail_url":110,"tldr":6468,"tweet":110,"unknown_tags":6469,"__hash__":6470},"summaries\u002Fsummaries\u002F6298b5f70cb2ad6c-clinlens-long-horizon-coding-agents-for-clinical-d-summary.md","ClinLens: Long-Horizon Coding Agents for Clinical Data Science",{"provider":7,"model":8,"input_tokens":6397,"output_tokens":6398,"processing_time_ms":6399,"cost_usd":6400},3999,493,2639,0.00173925,{"type":14,"value":6402,"toc":6444},[6403,6407,6410,6414,6417,6437,6441],[17,6404,6406],{"id":6405},"the-challenge-of-longitudinal-clinical-data","The Challenge of Longitudinal Clinical Data",[22,6408,6409],{},"Clinical data science is uniquely difficult because it involves longitudinal, multimodal data—such as electronic health records (EHRs), medical imaging, and time-series physiological data—that span long periods. Traditional AI coding agents often struggle with these environments because they lack the context-retention capabilities required to perform multi-step, long-horizon data analysis tasks. ClinLens addresses this by providing a framework specifically optimized for the iterative, complex nature of clinical research pipelines.",[17,6411,6413],{"id":6412},"agentic-framework-for-clinical-workflows","Agentic Framework for Clinical Workflows",[22,6415,6416],{},"ClinLens operates as a specialized coding agent capable of managing the full lifecycle of a clinical data science project. Unlike general-purpose coding assistants, it is designed to:",[43,6418,6419,6425,6431],{},[46,6420,6421,6424],{},[26,6422,6423],{},"Maintain Long-Horizon Context:"," It tracks state across extended analysis sessions, ensuring that data cleaning, feature engineering, and modeling steps remain consistent over time.",[46,6426,6427,6430],{},[26,6428,6429],{},"Handle Multimodal Inputs:"," The agent is built to interpret and integrate diverse data types (structured EHR data, unstructured clinical notes, and imaging) into a unified analysis pipeline.",[46,6432,6433,6436],{},[26,6434,6435],{},"Automate Iterative Coding:"," It reduces the manual burden of writing and debugging code for complex statistical models, allowing researchers to focus on clinical interpretation rather than syntax.",[17,6438,6440],{"id":6439},"practical-implications-for-clinical-research","Practical Implications for Clinical Research",[22,6442,6443],{},"By automating the \"heavy lifting\" of data wrangling and pipeline construction, ClinLens aims to accelerate the translation of clinical data into actionable insights. The framework emphasizes reliability and reproducibility, which are critical in medical settings where data integrity is paramount. It represents a shift from simple prompt-based coding to agentic workflows that can autonomously navigate the messy, high-stakes environment of longitudinal health records.",{"title":99,"searchDepth":100,"depth":100,"links":6445},[6446,6447,6448],{"id":6405,"depth":100,"text":6406},{"id":6412,"depth":100,"text":6413},{"id":6439,"depth":100,"text":6440},[109],{"content_references":6451,"triage":6456},[6452],{"type":116,"title":6453,"url":6454,"context":6455},"ClinLens: Towards Long-Horizon Coding Agents for Longitudinal Multimodal Clinical Data Science","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.26155","mentioned",{"relevance":121,"novelty":122,"quality":122,"actionability":105,"composite":6457,"reasoning":6458},4.15,"Category: AI & LLMs. The article discusses ClinLens, an AI agent framework specifically designed for handling complex clinical data, which directly addresses the needs of product builders in the AI space. It provides insights into automating coding tasks in clinical research, which is a practical application for developers looking to integrate AI into healthcare products.","\u002Fsummaries\u002F6298b5f70cb2ad6c-clinlens-long-horizon-coding-agents-for-clinical-d-summary","2026-08-01 03:13:01",{"title":6395,"description":99},{"loc":6459},"6298b5f70cb2ad6c","summaries\u002F6298b5f70cb2ad6c-clinlens-long-horizon-coding-agents-for-clinical-d-summary",[6466,135,6467,136],"data-science","machine-learning","ClinLens is an AI agent framework designed to handle the complexities of longitudinal, multimodal clinical data by automating long-horizon coding tasks in data science workflows.",[136],"sQnZzcEnXuj7jtt0DRP2NMAxCg9t1oo1MMBYLv2SjXk",{"id":6472,"title":6473,"ai":6474,"body":6479,"categories":6525,"created_at":110,"date_modified":110,"description":99,"extension":111,"faq":110,"featured":112,"kicker_label":110,"meta":6526,"navigation":125,"path":6536,"published_at":6537,"question":110,"scraped_at":6537,"seo":6538,"sitemap":6539,"source_id":6540,"source_name":6541,"source_type":132,"source_url":6531,"stem":6542,"tags":6543,"thumbnail_url":110,"tldr":6545,"tweet":110,"unknown_tags":6546,"__hash__":6547},"summaries\u002Fsummaries\u002F839f7a51d7b587ae-openai-presence-enterprise-ai-agent-deployment-summary.md","OpenAI Presence: Enterprise AI Agent Deployment",{"provider":7,"model":8,"input_tokens":6475,"output_tokens":6476,"processing_time_ms":6477,"cost_usd":6478},7184,585,3292,0.0026735,{"type":14,"value":6480,"toc":6521},[6481,6485,6488,6491,6511,6515,6518],[17,6482,6484],{"id":6483},"a-system-for-production-ready-ai-agents","A System for Production-Ready AI Agents",[22,6486,6487],{},"OpenAI Presence moves beyond simple model implementation by providing a structured environment for deploying AI agents in high-stakes enterprise workflows. The core challenge addressed is reliability: ensuring agents can perform specific tasks—such as billing resolution, insurance claims, or IT support—while adhering to strict company policies and guardrails.",[22,6489,6490],{},"Presence functions as a comprehensive platform that integrates model reasoning with:",[43,6492,6493,6499,6505],{},[46,6494,6495,6498],{},[26,6496,6497],{},"Policy and Guardrail Enforcement:"," Defining what an agent is permitted to do, when it requires human approval, and when to escalate to a human representative.",[46,6500,6501,6504],{},[26,6502,6503],{},"Simulation and Evaluation:"," Before deployment, agents are tested against edge cases and high-risk scenarios to verify accuracy and adherence to operational procedures.",[46,6506,6507,6510],{},[26,6508,6509],{},"Continuous Improvement Loop:"," Post-launch, the system uses production data to identify performance gaps. A Codex-powered process suggests updates, which teams can test and approve for a controlled rollout, allowing the agent to evolve alongside changing business requirements.",[17,6512,6514],{"id":6513},"operational-integration-and-performance","Operational Integration and Performance",[22,6516,6517],{},"Presence is not a self-serve tool; it is a managed service deployed in collaboration with OpenAI Forward Deployed Engineers (FDEs) and systems integrators. The product is designed to be modular, allowing enterprises to maintain consistent policies and evaluation frameworks across different channels while customizing specific workflows.",[22,6519,6520],{},"Evidence of its effectiveness is demonstrated by OpenAI's own internal use: their English-language phone support channel now resolves 75% of inbound issues without human intervention. By utilizing the Codex-powered improvement loop, the team reduced human handoffs by 15 percentage points in just 10 days. Early enterprise adopters, including BBVA, SoftBank, and IAG, are currently testing the platform for financial services, customer support, and disaster-response claims processing.",{"title":99,"searchDepth":100,"depth":100,"links":6522},[6523,6524],{"id":6483,"depth":100,"text":6484},{"id":6513,"depth":100,"text":6514},[109],{"content_references":6527,"triage":6534},[6528,6532],{"type":6529,"title":6530,"url":6531,"context":119},"tool","OpenAI Presence","https:\u002F\u002Fopenai.com\u002Findex\u002Fintroducing-openai-presence",{"type":6529,"title":6533,"context":6455},"Codex",{"relevance":121,"novelty":122,"quality":122,"actionability":122,"composite":123,"reasoning":6535},"Category: AI & LLMs. The article provides a detailed overview of OpenAI Presence, a platform for deploying AI agents in enterprise settings, addressing specific pain points like reliability and policy enforcement. It outlines actionable features such as the continuous improvement loop and operational integration, making it relevant for product builders looking to implement AI solutions.","\u002Fsummaries\u002F839f7a51d7b587ae-openai-presence-enterprise-ai-agent-deployment-summary","2026-07-23 17:59:33",{"title":6473,"description":99},{"loc":6536},"839f7a51d7b587ae","OpenAI News","summaries\u002F839f7a51d7b587ae-openai-presence-enterprise-ai-agent-deployment-summary",[6313,135,136,6544],"enterprise","OpenAI Presence is an enterprise-grade product designed to deploy, evaluate, and iteratively improve AI agents for voice and chat workflows, focusing on reliability, policy enforcement, and human-in-the-loop escalation.",[136,6544],"A_yExr0HlebZHHPtXtx0V3_M9NPJ_P_zzoskfOE_kak"]