[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-355d8aee33bd32ed-moving-beyond-simple-voice-ai-the-shift-to-outcome-summary":3,"summaries-facets-categories":108,"summary-related-355d8aee33bd32ed-moving-beyond-simple-voice-ai-the-shift-to-outcome-summary":6934},{"id":4,"title":5,"ai":6,"body":13,"categories":67,"created_at":69,"date_modified":69,"description":62,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":72,"navigation":89,"path":90,"published_at":91,"question":69,"scraped_at":92,"seo":93,"sitemap":94,"source_id":95,"source_name":96,"source_type":97,"source_url":98,"stem":99,"tags":100,"thumbnail_url":69,"tldr":105,"tweet":69,"unknown_tags":106,"__hash__":107},"summaries\u002Fsummaries\u002F355d8aee33bd32ed-moving-beyond-simple-voice-ai-the-shift-to-outcome-summary.md","Moving Beyond Simple Voice AI: The Shift to Outcome-Based Agents",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",6574,586,3176,0.0025225,{"type":14,"value":15,"toc":61},"minimark",[16,21,25,28,51,55,58],[17,18,20],"h2",{"id":19},"from-commodity-calls-to-complex-workflows","From Commodity Calls to Complex Workflows",[22,23,24],"p",{},"Ringg, an Indian voice AI startup, has raised $10 million in a Series A extension (led by Peak XV Partners, bringing total funding to $15.5 million) to transition its business model. Originally launched as a text-to-speech startup, the company initially focused on high-volume, low-complexity tasks like lead qualification and loan collection. The founders identified that these tasks were commoditized, leading to a \"price game\" with low customer stickiness.",[22,26,27],{},"To build long-term defensibility, Ringg is shifting toward \"outcome-based\" agents. Instead of just making calls, these agents are designed to complete multi-step enterprise workflows, such as:",[29,30,31,39,45],"ul",{},[32,33,34,38],"li",{},[35,36,37],"strong",{},"Healthcare:"," Appointment booking and post-visit follow-ups (currently deployed across 1,200 clinics for Practo).",[32,40,41,44],{},[35,42,43],{},"Fintech:"," Onboarding and KYC (Know Your Customer) verification.",[32,46,47,50],{},[35,48,49],{},"E-commerce:"," Abandoned-cart recovery.",[17,52,54],{"id":53},"the-orchestration-strategy","The Orchestration Strategy",[22,56,57],{},"While Ringg builds its own speech recognition and generation models, it currently operates as an orchestration layer. This allows the platform to route tasks to the most efficient models depending on the specific use case, balancing performance with the high costs of running proprietary infrastructure.",[22,59,60],{},"Though voice remains the primary channel (70% of business), the company is expanding into omnichannel support, including WhatsApp, chat, and browser-based automation. Their go-to-market strategy focuses on partnering with Global Capability Centers (GCCs) in India—offshore hubs for multinational corporations—to integrate AI automation alongside human support teams. This approach allows them to capture value by owning the customer relationship and the successful completion of complex tasks, rather than competing solely on raw model performance.",{"title":62,"searchDepth":63,"depth":63,"links":64},"",2,[65,66],{"id":19,"depth":63,"text":20},{"id":53,"depth":63,"text":54},[68],"AI & LLMs",null,"md",false,{"content_references":73,"triage":84},[74,79],{"type":75,"title":76,"url":77,"context":78},"tool","Ringg","https:\u002F\u002Fwww.ringg.ai\u002F","mentioned",{"type":80,"title":81,"author":82,"context":83},"report","State of Business Calling Report 2026","Truecaller","cited",{"relevance":85,"novelty":86,"quality":85,"actionability":86,"composite":87,"reasoning":88},4,3,3.6,"Category: AI & LLMs. The article discusses the transition of a voice AI startup to outcome-based agents, addressing a specific audience pain point about moving from simple applications to more complex, production-ready solutions. It provides insights into the company's strategy and use cases, but lacks detailed actionable steps for implementation.",true,"\u002Fsummaries\u002F355d8aee33bd32ed-moving-beyond-simple-voice-ai-the-shift-to-outcome-summary","2026-08-26 03:30:00","2026-08-27 03:13:07",{"title":5,"description":62},{"loc":90},"355d8aee33bd32ed","TechCrunch — AI","article","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F08\u002F25\u002Findias-ringg-gets-backing-from-peak-xv-as-it-pushes-voice-ai-past-the-phone-call\u002F","summaries\u002F355d8aee33bd32ed-moving-beyond-simple-voice-ai-the-shift-to-outcome-summary",[101,102,103,104],"agents","saas","ai-llms","voice-ai","Voice AI startup Ringg raised $10M to pivot from high-volume, low-complexity outbound calls to complex, outcome-driven enterprise workflows like healthcare booking and KYC onboarding.",[103,104],"pFml4GxpvBirE76yj9g9dFT95ymo0HQ8SO05hB2kJ0Q",[109,111,114,116,119,121,124,127,129,131,133,136,138,140,142,144,147,149,151,153,155,158,161,163,165,167,169,171,173,175,177,179,181,183,185,187,189,191,193,195,197,199,201,203,205,207,210,212,214,216,218,220,222,224,226,228,230,232,234,236,239,241,243,245,247,249,251,253,255,257,259,261,263,265,267,269,271,273,275,277,280,282,284,286,288,290,292,294,296,298,300,302,304,306,309,311,313,315,317,319,321,323,325,327,329,331,333,335,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,372,374,376,378,380,382,384,386,388,390,392,395,397,399,401,403,405,407,409,411,413,415,417,419,421,423,425,428,430,432,434,436,438,440,442,444,446,448,451,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,508,510,512,515,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,547,549,551,554,556,558,560,562,564,566,568,570,572,574,576,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,866,868,870,872,874,877,879,881,883,885,887,889,891,893,895,897,899,901,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568,6570,6572,6574,6576,6578,6580,6582,6584,6586,6588,6590,6592,6594,6596,6598,6600,6602,6604,6606,6608,6610,6612,6614,6616,6618,6620,6622,6624,6626,6628,6630,6632,6634,6636,6638,6640,6642,6644,6646,6648,6650,6652,6654,6656,6658,6660,6662,6664,6666,6668,6670,6672,6674,6676,6678,6680,6682,6684,6686,6688,6690,6692,6694,6696,6698,6700,6702,6704,6706,6708,6710,6712,6714,6716,6718,6720,6722,6724,6726,6728,6730,6732,6734,6736,6738,6740,6742,6744,6746,6748,6750,6752,6754,6756,6758,6760,6762,6764,6766,6768,6770,6772,6774,6776,6778,6780,6782,6784,6786,6788,6790,6792,6794,6796,6798,6800,6802,6804,6806,6808,6810,6812,6814,6816,6818,6820,6822,6824,6826,6828,6830,6832,6834,6836,6838,6840,6842,6844,6846,6848,6850,6852,6854,6856,6858,6860,6862,6864,6866,6868,6870,6872,6874,6876,6878,6880,6882,6884,6886,6888,6890,6892,6894,6896,6898,6900,6902,6904,6906,6908,6910,6912,6914,6916,6918,6920,6922,6924,6926,6928,6930,6932],{"categories":110},[68],{"categories":112},[113],"Developer Productivity",{"categories":115},[68],{"categories":117},[118],"Business & SaaS",{"categories":120},[68],{"categories":122},[123],"AI Automation",{"categories":125},[126],"Product Strategy",{"categories":128},[68],{"categories":130},[113],{"categories":132},[123],{"categories":134},[135],"Software Engineering",{"categories":137},[68],{"categories":139},[118],{"categories":141},[],{"categories":143},[68],{"categories":145},[146],"Inference & Serving",{"categories":148},[68],{"categories":150},[68],{"categories":152},[123],{"categories":154},[],{"categories":156},[157],"AI News & Trends",{"categories":159},[160],"Data Science & Visualization",{"categories":162},[123],{"categories":164},[68],{"categories":166},[68],{"categories":168},[118],{"categories":170},[113],{"categories":172},[68],{"categories":174},[123],{"categories":176},[157],{"categories":178},[68],{"categories":180},[123],{"categories":182},[123],{"categories":184},[68],{"categories":186},[68],{"categories":188},[123],{"categories":190},[68],{"categories":192},[68],{"categories":194},[68],{"categories":196},[123],{"categories":198},[157],{"categories":200},[68],{"categories":202},[68],{"categories":204},[68],{"categories":206},[],{"categories":208},[209],"Design & Frontend",{"categories":211},[160],{"categories":213},[157],{"categories":215},[68],{"categories":217},[68],{"categories":219},[68],{"categories":221},[],{"categories":223},[68],{"categories":225},[68],{"categories":227},[123],{"categories":229},[135],{"categories":231},[68],{"categories":233},[123],{"categories":235},[68],{"categories":237},[238],"Marketing & Growth",{"categories":240},[209],{"categories":242},[68],{"categories":244},[123],{"categories":246},[68],{"categories":248},[68],{"categories":250},[135],{"categories":252},[68],{"categories":254},[],{"categories":256},[],{"categories":258},[209],{"categories":260},[68],{"categories":262},[123],{"categories":264},[113],{"categories":266},[135],{"categories":268},[123],{"categories":270},[209],{"categories":272},[126],{"categories":274},[68],{"categories":276},[135],{"categories":278},[279],"DevOps & Cloud",{"categories":281},[123],{"categories":283},[126],{"categories":285},[157],{"categories":287},[68],{"categories":289},[],{"categories":291},[68],{"categories":293},[68],{"categories":295},[],{"categories":297},[123],{"categories":299},[135],{"categories":301},[],{"categories":303},[135],{"categories":305},[68],{"categories":307},[308],"Governance & Standards",{"categories":310},[118],{"categories":312},[],{"categories":314},[],{"categories":316},[68],{"categories":318},[68],{"categories":320},[123],{"categories":322},[68],{"categories":324},[68],{"categories":326},[123],{"categories":328},[68],{"categories":330},[68],{"categories":332},[68],{"categories":334},[],{"categories":336},[135],{"categories":338},[],{"categories":340},[],{"categories":342},[68],{"categories":344},[135],{"categories":346},[],{"categories":348},[135],{"categories":350},[68],{"categories":352},[68],{"categories":354},[238],{"categories":356},[68],{"categories":358},[68],{"categories":360},[209],{"categories":362},[209],{"categories":364},[68],{"categories":366},[135],{"categories":368},[123],{"categories":370},[371],"GovTech & Public-Sector Adoption",{"categories":373},[135],{"categories":375},[68],{"categories":377},[68],{"categories":379},[68],{"categories":381},[123],{"categories":383},[123],{"categories":385},[160],{"categories":387},[68],{"categories":389},[157],{"categories":391},[123],{"categories":393},[394],"Legal AI Tools",{"categories":396},[68],{"categories":398},[123],{"categories":400},[68],{"categories":402},[238],{"categories":404},[123],{"categories":406},[126],{"categories":408},[68],{"categories":410},[135],{"categories":412},[371],{"categories":414},[],{"categories":416},[123],{"categories":418},[],{"categories":420},[118],{"categories":422},[123],{"categories":424},[123],{"categories":426},[427],"RAG & Retrieval",{"categories":429},[118],{"categories":431},[68],{"categories":433},[135],{"categories":435},[135],{"categories":437},[279],{"categories":439},[209],{"categories":441},[123],{"categories":443},[68],{"categories":445},[68],{"categories":447},[],{"categories":449},[450],"Agents & Orchestration",{"categories":452},[135],{"categories":454},[68],{"categories":456},[],{"categories":458},[123],{"categories":460},[118],{"categories":462},[],{"categories":464},[68],{"categories":466},[],{"categories":468},[68],{"categories":470},[113],{"categories":472},[135],{"categories":474},[118],{"categories":476},[68],{"categories":478},[123],{"categories":480},[68],{"categories":482},[157],{"categories":484},[68],{"categories":486},[],{"categories":488},[68],{"categories":490},[],{"categories":492},[68],{"categories":494},[135],{"categories":496},[68],{"categories":498},[160],{"categories":500},[],{"categories":502},[68],{"categories":504},[209],{"categories":506},[507],"Models & Frontier Labs",{"categories":509},[],{"categories":511},[209],{"categories":513},[514],"Regulation & Governance of AI",{"categories":516},[126],{"categories":518},[123],{"categories":520},[],{"categories":522},[68],{"categories":524},[68],{"categories":526},[123],{"categories":528},[123],{"categories":530},[157],{"categories":532},[68],{"categories":534},[118],{"categories":536},[68],{"categories":538},[123],{"categories":540},[],{"categories":542},[135],{"categories":544},[123],{"categories":546},[68],{"categories":548},[126],{"categories":550},[68],{"categories":552},[553],"AI Policy & Regulation",{"categories":555},[],{"categories":557},[68],{"categories":559},[123],{"categories":561},[126],{"categories":563},[123],{"categories":565},[68],{"categories":567},[68],{"categories":569},[68],{"categories":571},[123],{"categories":573},[],{"categories":575},[160],{"categories":577},[578],"Evals & Reliability",{"categories":580},[68],{"categories":582},[68],{"categories":584},[],{"categories":586},[113],{"categories":588},[371],{"categories":590},[553],{"categories":592},[68],{"categories":594},[118],{"categories":596},[68],{"categories":598},[123],{"categories":600},[68],{"categories":602},[123],{"categories":604},[450],{"categories":606},[68],{"categories":608},[135],{"categories":610},[68],{"categories":612},[],{"categories":614},[209],{"categories":616},[],{"categories":618},[68],{"categories":620},[371],{"categories":622},[68],{"categories":624},[68],{"categories":626},[68],{"categories":628},[],{"categories":630},[68],{"categories":632},[209],{"categories":634},[135],{"categories":636},[],{"categories":638},[68],{"categories":640},[],{"categories":642},[123],{"categories":644},[68],{"categories":646},[209],{"categories":648},[],{"categories":650},[68],{"categories":652},[68],{"categories":654},[160],{"categories":656},[123],{"categories":658},[68],{"categories":660},[118],{"categories":662},[123],{"categories":664},[68],{"categories":666},[68],{"categories":668},[135],{"categories":670},[209],{"categories":672},[68],{"categories":674},[123],{"categories":676},[],{"categories":678},[135],{"categories":680},[123],{"categories":682},[160],{"categories":684},[],{"categories":686},[68],{"categories":688},[157],{"categories":690},[68],{"categories":692},[],{"categories":694},[68],{"categories":696},[68],{"categories":698},[68],{"categories":700},[118,238],{"categories":702},[],{"categories":704},[135],{"categories":706},[68],{"categories":708},[68],{"categories":710},[123],{"categories":712},[68],{"categories":714},[],{"categories":716},[],{"categories":718},[68],{"categories":720},[209],{"categories":722},[68],{"categories":724},[],{"categories":726},[68],{"categories":728},[279],{"categories":730},[],{"categories":732},[123],{"categories":734},[157],{"categories":736},[68],{"categories":738},[68],{"categories":740},[209],{"categories":742},[],{"categories":744},[157],{"categories":746},[68],{"categories":748},[146],{"categories":750},[68],{"categories":752},[68],{"categories":754},[123],{"categories":756},[157],{"categories":758},[507],{"categories":760},[68],{"categories":762},[238],{"categories":764},[],{"categories":766},[123],{"categories":768},[118],{"categories":770},[135],{"categories":772},[68],{"categories":774},[123],{"categories":776},[],{"categories":778},[68,279],{"categories":780},[68],{"categories":782},[68],{"categories":784},[68],{"categories":786},[123],{"categories":788},[68,135],{"categories":790},[160],{"categories":792},[68],{"categories":794},[68],{"categories":796},[68],{"categories":798},[135],{"categories":800},[68],{"categories":802},[123],{"categories":804},[123],{"categories":806},[553],{"categories":808},[238],{"categories":810},[68],{"categories":812},[123],{"categories":814},[68],{"categories":816},[68],{"categories":818},[123],{"categories":820},[],{"categories":822},[123],{"categories":824},[68],{"categories":826},[68],{"categories":828},[123],{"categories":830},[68],{"categories":832},[68,118],{"categories":834},[68],{"categories":836},[118],{"categories":838},[],{"categories":840},[209],{"categories":842},[209],{"categories":844},[68],{"categories":846},[],{"categories":848},[],{"categories":850},[68],{"categories":852},[157],{"categories":854},[],{"categories":856},[113],{"categories":858},[68],{"categories":860},[135],{"categories":862},[68],{"categories":864},[865],"Generative UI & Design-to-Code",{"categories":867},[68],{"categories":869},[68],{"categories":871},[209],{"categories":873},[68],{"categories":875},[876],"Algorithmic Accountability",{"categories":878},[123],{"categories":880},[135],{"categories":882},[157],{"categories":884},[209],{"categories":886},[68],{"categories":888},[],{"categories":890},[126],{"categories":892},[68],{"categories":894},[68],{"categories":896},[68],{"categories":898},[68],{"categories":900},[123],{"categories":902},[903],"MLOps & Infrastructure",{"categories":905},[68],{"categories":907},[68],{"categories":909},[68],{"categories":911},[68],{"categories":913},[68],{"categories":915},[135],{"categories":917},[157],{"categories":919},[68],{"categories":921},[126],{"categories":923},[113],{"categories":925},[68],{"categories":927},[123],{"categories":929},[279],{"categories":931},[68],{"categories":933},[118],{"categories":935},[68],{"categories":937},[209],{"categories":939},[68],{"categories":941},[68],{"categories":943},[123],{"categories":945},[],{"categories":947},[],{"categories":949},[68],{"categories":951},[146],{"categories":953},[209],{"categories":955},[157],{"categories":957},[160],{"categories":959},[],{"categories":961},[68],{"categories":963},[68],{"categories":965},[118],{"categories":967},[123],{"categories":969},[68],{"categories":971},[68],{"categories":973},[68],{"categories":975},[68],{"categories":977},[157],{"categories":979},[146],{"categories":981},[68],{"categories":983},[209],{"categories":985},[68],{"categories":987},[],{"categories":989},[123],{"categories":991},[135],{"categories":993},[],{"categories":995},[68],{"categories":997},[68],{"categories":999},[123],{"categories":1001},[135],{"categories":1003},[68],{"categories":1005},[160],{"categories":1007},[209],{"categories":1009},[],{"categories":1011},[68],{"categories":1013},[],{"categories":1015},[68],{"categories":1017},[],{"categories":1019},[68],{"categories":1021},[68],{"categories":1023},[126],{"categories":1025},[118],{"categories":1027},[123],{"categories":1029},[123],{"categories":1031},[],{"categories":1033},[68],{"categories":1035},[113],{"categories":1037},[68],{"categories":1039},[68],{"categories":1041},[118],{"categories":1043},[157],{"categories":1045},[113],{"categories":1047},[],{"categories":1049},[68],{"categories":1051},[],{"categories":1053},[68],{"categories":1055},[],{"categories":1057},[157],{"categories":1059},[157],{"categories":1061},[],{"categories":1063},[450],{"categories":1065},[68],{"categories":1067},[209],{"categories":1069},[135],{"categories":1071},[],{"categories":1073},[394],{"categories":1075},[123],{"categories":1077},[118],{"categories":1079},[],{"categories":1081},[],{"categories":1083},[113],{"categories":1085},[160],{"categories":1087},[],{"categories":1089},[238],{"categories":1091},[123],{"categories":1093},[118],{"categories":1095},[123],{"categories":1097},[118],{"categories":1099},[68],{"categories":1101},[135],{"categories":1103},[],{"categories":1105},[146],{"categories":1107},[126],{"categories":1109},[68],{"categories":1111},[209],{"categories":1113},[135],{"categories":1115},[118],{"categories":1117},[68],{"categories":1119},[68],{"categories":1121},[123],{"categories":1123},[118],{"categories":1125},[68],{"categories":1127},[68],{"categories":1129},[68],{"categories":1131},[68],{"categories":1133},[68],{"categories":1135},[],{"categories":1137},[],{"categories":1139},[135],{"categories":1141},[160],{"categories":1143},[126],{"categories":1145},[68],{"categories":1147},[123],{"categories":1149},[135],{"categories":1151},[135],{"categories":1153},[68],{"categories":1155},[],{"categories":1157},[157],{"categories":1159},[126],{"categories":1161},[126],{"categories":1163},[135],{"categories":1165},[68],{"categories":1167},[578],{"categories":1169},[279],{"categories":1171},[],{"categories":1173},[123],{"categories":1175},[68],{"categories":1177},[],{"categories":1179},[113],{"categories":1181},[],{"categories":1183},[68],{"categories":1185},[68],{"categories":1187},[68],{"categories":1189},[209],{"categories":1191},[238],{"categories":1193},[68],{"categories":1195},[135],{"categories":1197},[68],{"categories":1199},[123],{"categories":1201},[],{"categories":1203},[135],{"categories":1205},[68],{"categories":1207},[113],{"categories":1209},[],{"categories":1211},[118],{"categories":1213},[68],{"categories":1215},[68],{"categories":1217},[157],{"categories":1219},[68,279],{"categories":1221},[68],{"categories":1223},[1224],"Design Systems for AI",{"categories":1226},[68],{"categories":1228},[68],{"categories":1230},[157],{"categories":1232},[68],{"categories":1234},[68],{"categories":1236},[68],{"categories":1238},[118],{"categories":1240},[68],{"categories":1242},[68],{"categories":1244},[68],{"categories":1246},[],{"categories":1248},[68],{"categories":1250},[68],{"categories":1252},[118],{"categories":1254},[68],{"categories":1256},[],{"categories":1258},[123],{"categories":1260},[135],{"categories":1262},[157],{"categories":1264},[135],{"categories":1266},[68],{"categories":1268},[209],{"categories":1270},[157],{"categories":1272},[160],{"categories":1274},[68],{"categories":1276},[68],{"categories":1278},[123],{"categories":1280},[113],{"categories":1282},[553],{"categories":1284},[68],{"categories":1286},[123],{"categories":1288},[68],{"categories":1290},[135],{"categories":1292},[135],{"categories":1294},[],{"categories":1296},[],{"categories":1298},[68],{"categories":1300},[123],{"categories":1302},[126],{"categories":1304},[],{"categories":1306},[118],{"categories":1308},[68],{"categories":1310},[],{"categories":1312},[209],{"categories":1314},[135],{"categories":1316},[123],{"categories":1318},[135],{"categories":1320},[209],{"categories":1322},[68],{"categories":1324},[68],{"categories":1326},[209],{"categories":1328},[],{"categories":1330},[],{"categories":1332},[157],{"categories":1334},[123],{"categories":1336},[123],{"categories":1338},[68],{"categories":1340},[68],{"categories":1342},[68],{"categories":1344},[68],{"categories":1346},[118],{"categories":1348},[68],{"categories":1350},[68],{"categories":1352},[],{"categories":1354},[135],{"categories":1356},[135],{"categories":1358},[68],{"categories":1360},[135],{"categories":1362},[118],{"categories":1364},[],{"categories":1366},[68],{"categories":1368},[68],{"categories":1370},[68],{"categories":1372},[68],{"categories":1374},[68],{"categories":1376},[123],{"categories":1378},[113],{"categories":1380},[118],{"categories":1382},[68],{"categories":1384},[123],{"categories":1386},[157],{"categories":1388},[123],{"categories":1390},[146],{"categories":1392},[238],{"categories":1394},[68],{"categories":1396},[123],{"categories":1398},[68],{"categories":1400},[68],{"categories":1402},[68],{"categories":1404},[],{"categories":1406},[209],{"categories":1408},[],{"categories":1410},[68],{"categories":1412},[68],{"categories":1414},[],{"categories":1416},[68],{"categories":1418},[135],{"categories":1420},[118],{"categories":1422},[1423],"Visual & Generative Media",{"categories":1425},[123],{"categories":1427},[],{"categories":1429},[68],{"categories":1431},[68],{"categories":1433},[135],{"categories":1435},[279],{"categories":1437},[68],{"categories":1439},[160],{"categories":1441},[553],{"categories":1443},[135],{"categories":1445},[238],{"categories":1447},[68],{"categories":1449},[209],{"categories":1451},[68],{"categories":1453},[68],{"categories":1455},[135],{"categories":1457},[123],{"categories":1459},[68],{"categories":1461},[],{"categories":1463},[],{"categories":1465},[123],{"categories":1467},[135],{"categories":1469},[113],{"categories":1471},[123],{"categories":1473},[507],{"categories":1475},[68],{"categories":1477},[126],{"categories":1479},[68],{"categories":1481},[118],{"categories":1483},[],{"categories":1485},[68],{"categories":1487},[126],{"categories":1489},[68],{"categories":1491},[68],{"categories":1493},[68],{"categories":1495},[126],{"categories":1497},[68],{"categories":1499},[68],{"categories":1501},[238],{"categories":1503},[68],{"categories":1505},[450],{"categories":1507},[68],{"categories":1509},[123],{"categories":1511},[68],{"categories":1513},[68],{"categories":1515},[68],{"categories":1517},[68],{"categories":1519},[209],{"categories":1521},[123],{"categories":1523},[],{"categories":1525},[123],{"categories":1527},[],{"categories":1529},[279],{"categories":1531},[135],{"categories":1533},[],{"categories":1535},[507],{"categories":1537},[68],{"categories":1539},[123],{"categories":1541},[123],{"categories":1543},[68],{"categories":1545},[209,68],{"categories":1547},[113],{"categories":1549},[68],{"categories":1551},[209],{"categories":1553},[],{"categories":1555},[68],{"categories":1557},[113],{"categories":1559},[68],{"categories":1561},[1562],"Medical Imaging & Radiology",{"categories":1564},[68],{"categories":1566},[68],{"categories":1568},[68],{"categories":1570},[209],{"categories":1572},[123],{"categories":1574},[135],{"categories":1576},[],{"categories":1578},[68],{"categories":1580},[68],{"categories":1582},[68],{"categories":1584},[],{"categories":1586},[],{"categories":1588},[68],{"categories":1590},[68],{"categories":1592},[450],{"categories":1594},[68],{"categories":1596},[113],{"categories":1598},[68],{"categories":1600},[68],{"categories":1602},[],{"categories":1604},[123],{"categories":1606},[68],{"categories":1608},[126],{"categories":1610},[135],{"categories":1612},[68],{"categories":1614},[123],{"categories":1616},[450],{"categories":1618},[68],{"categories":1620},[123],{"categories":1622},[68],{"categories":1624},[68],{"categories":1626},[68],{"categories":1628},[209],{"categories":1630},[123],{"categories":1632},[279],{"categories":1634},[209],{"categories":1636},[118],{"categories":1638},[123],{"categories":1640},[157],{"categories":1642},[68],{"categories":1644},[68],{"categories":1646},[126],{"categories":1648},[68],{"categories":1650},[68],{"categories":1652},[68],{"categories":1654},[68],{"categories":1656},[123],{"categories":1658},[68],{"categories":1660},[135],{"categories":1662},[135],{"categories":1664},[68],{"categories":1666},[126],{"categories":1668},[],{"categories":1670},[157],{"categories":1672},[],{"categories":1674},[126],{"categories":1676},[123],{"categories":1678},[68],{"categories":1680},[123],{"categories":1682},[1224],{"categories":1684},[1224],{"categories":1686},[209],{"categories":1688},[68],{"categories":1690},[68],{"categories":1692},[68],{"categories":1694},[123],{"categories":1696},[135],{"categories":1698},[209],{"categories":1700},[123],{"categories":1702},[157],{"categories":1704},[],{"categories":1706},[68],{"categories":1708},[],{"categories":1710},[68],{"categories":1712},[68],{"categories":1714},[68],{"categories":1716},[68],{"categories":1718},[123],{"categories":1720},[1721],"Contract Review & E-Discovery",{"categories":1723},[68],{"categories":1725},[209],{"categories":1727},[68],{"categories":1729},[113],{"categories":1731},[68],{"categories":1733},[157],{"categories":1735},[68],{"categories":1737},[68],{"categories":1739},[238],{"categories":1741},[135],{"categories":1743},[68],{"categories":1745},[68],{"categories":1747},[123],{"categories":1749},[123],{"categories":1751},[876],{"categories":1753},[68],{"categories":1755},[68],{"categories":1757},[123],{"categories":1759},[123],{"categories":1761},[68],{"categories":1763},[68],{"categories":1765},[68],{"categories":1767},[123],{"categories":1769},[68],{"categories":1771},[68],{"categories":1773},[450],{"categories":1775},[427],{"categories":1777},[68],{"categories":1779},[123],{"categories":1781},[68],{"categories":1783},[1784],"Law-Firm Practice & Adoption",{"categories":1786},[68],{"categories":1788},[123],{"categories":1790},[209],{"categories":1792},[68],{"categories":1794},[68],{"categories":1796},[68],{"categories":1798},[],{"categories":1800},[],{"categories":1802},[135],{"categories":1804},[68],{"categories":1806},[],{"categories":1808},[123],{"categories":1810},[113],{"categories":1812},[279],{"categories":1814},[68],{"categories":1816},[],{"categories":1818},[113],{"categories":1820},[118],{"categories":1822},[68],{"categories":1824},[238],{"categories":1826},[],{"categories":1828},[118],{"categories":1830},[123],{"categories":1832},[118],{"categories":1834},[],{"categories":1836},[68],{"categories":1838},[126],{"categories":1840},[68],{"categories":1842},[135],{"categories":1844},[],{"categories":1846},[],{"categories":1848},[],{"categories":1850},[],{"categories":1852},[68],{"categories":1854},[126],{"categories":1856},[123],{"categories":1858},[279],{"categories":1860},[68],{"categories":1862},[113],{"categories":1864},[135],{"categories":1866},[68],{"categories":1868},[68],{"categories":1870},[135],{"categories":1872},[126],{"categories":1874},[68],{"categories":1876},[68],{"categories":1878},[68],{"categories":1880},[903],{"categories":1882},[68],{"categories":1884},[135],{"categories":1886},[68],{"categories":1888},[238],{"categories":1890},[135],{"categories":1892},[118],{"categories":1894},[68],{"categories":1896},[68],{"categories":1898},[68],{"categories":1900},[209],{"categories":1902},[68],{"categories":1904},[68],{"categories":1906},[68],{"categories":1908},[68],{"categories":1910},[118],{"categories":1912},[123],{"categories":1914},[68,113],{"categories":1916},[450],{"categories":1918},[68],{"categories":1920},[68],{"categories":1922},[135],{"categories":1924},[135],{"categories":1926},[209],{"categories":1928},[123],{"categories":1930},[123],{"categories":1932},[135],{"categories":1934},[68],{"categories":1936},[68],{"categories":1938},[],{"categories":1940},[],{"categories":1942},[68],{"categories":1944},[68],{"categories":1946},[123],{"categories":1948},[],{"categories":1950},[68],{"categories":1952},[68],{"categories":1954},[135],{"categories":1956},[160],{"categories":1958},[157],{"categories":1960},[209],{"categories":1962},[68],{"categories":1964},[123],{"categories":1966},[68],{"categories":1968},[135],{"categories":1970},[],{"categories":1972},[123],{"categories":1974},[68],{"categories":1976},[68],{"categories":1978},[68],{"categories":1980},[68],{"categories":1982},[],{"categories":1984},[123],{"categories":1986},[68],{"categories":1988},[68],{"categories":1990},[68],{"categories":1992},[],{"categories":1994},[123],{"categories":1996},[68],{"categories":1998},[68],{"categories":2000},[118],{"categories":2002},[68],{"categories":2004},[68],{"categories":2006},[],{"categories":2008},[113],{"categories":2010},[68],{"categories":2012},[68],{"categories":2014},[68],{"categories":2016},[209],{"categories":2018},[68],{"categories":2020},[135],{"categories":2022},[68],{"categories":2024},[113],{"categories":2026},[68],{"categories":2028},[135],{"categories":2030},[238],{"categories":2032},[123],{"categories":2034},[123],{"categories":2036},[68],{"categories":2038},[68],{"categories":2040},[68,209],{"categories":2042},[68],{"categories":2044},[123],{"categories":2046},[157],{"categories":2048},[68],{"categories":2050},[157],{"categories":2052},[123],{"categories":2054},[209],{"categories":2056},[68],{"categories":2058},[],{"categories":2060},[135],{"categories":2062},[279],{"categories":2064},[209],{"categories":2066},[135],{"categories":2068},[68],{"categories":2070},[126],{"categories":2072},[68],{"categories":2074},[68],{"categories":2076},[123],{"categories":2078},[],{"categories":2080},[],{"categories":2082},[68],{"categories":2084},[],{"categories":2086},[],{"categories":2088},[126],{"categories":2090},[135],{"categories":2092},[68],{"categories":2094},[123],{"categories":2096},[123],{"categories":2098},[118],{"categories":2100},[123],{"categories":2102},[279],{"categories":2104},[68],{"categories":2106},[68],{"categories":2108},[68],{"categories":2110},[146],{"categories":2112},[68],{"categories":2114},[68],{"categories":2116},[68],{"categories":2118},[135],{"categories":2120},[123],{"categories":2122},[68],{"categories":2124},[68],{"categories":2126},[394],{"categories":2128},[876],{"categories":2130},[],{"categories":2132},[209],{"categories":2134},[1784],{"categories":2136},[135],{"categories":2138},[],{"categories":2140},[],{"categories":2142},[68],{"categories":2144},[123],{"categories":2146},[],{"categories":2148},[],{"categories":2150},[68],{"categories":2152},[238],{"categories":2154},[68],{"categories":2156},[238],{"categories":2158},[123],{"categories":2160},[68],{"categories":2162},[68],{"categories":2164},[135],{"categories":2166},[126],{"categories":2168},[],{"categories":2170},[68],{"categories":2172},[68],{"categories":2174},[135],{"categories":2176},[1721],{"categories":2178},[209],{"categories":2180},[209],{"categories":2182},[68],{"categories":2184},[123],{"categories":2186},[113],{"categories":2188},[68],{"categories":2190},[68],{"categories":2192},[68],{"categories":2194},[68],{"categories":2196},[209],{"categories":2198},[209],{"categories":2200},[123],{"categories":2202},[123],{"categories":2204},[123],{"categories":2206},[68],{"categories":2208},[68],{"categories":2210},[],{"categories":2212},[68],{"categories":2214},[],{"categories":2216},[2217],"Interaction & Product Design",{"categories":2219},[68],{"categories":2221},[123],{"categories":2223},[135],{"categories":2225},[308],{"categories":2227},[157],{"categories":2229},[135],{"categories":2231},[68],{"categories":2233},[68],{"categories":2235},[68],{"categories":2237},[135],{"categories":2239},[68],{"categories":2241},[113],{"categories":2243},[123],{"categories":2245},[68],{"categories":2247},[],{"categories":2249},[123],{"categories":2251},[123],{"categories":2253},[123],{"categories":2255},[],{"categories":2257},[135],{"categories":2259},[68],{"categories":2261},[113],{"categories":2263},[2217],{"categories":2265},[68],{"categories":2267},[113],{"categories":2269},[113],{"categories":2271},[],{"categories":2273},[123],{"categories":2275},[135],{"categories":2277},[],{"categories":2279},[123],{"categories":2281},[157],{"categories":2283},[68],{"categories":2285},[123],{"categories":2287},[68],{"categories":2289},[123],{"categories":2291},[68],{"categories":2293},[68],{"categories":2295},[157],{"categories":2297},[160],{"categories":2299},[68],{"categories":2301},[126],{"categories":2303},[135],{"categories":2305},[2306],"Coding Agents & Dev Productivity",{"categories":2308},[157],{"categories":2310},[209],{"categories":2312},[68],{"categories":2314},[68],{"categories":2316},[],{"categories":2318},[68],{"categories":2320},[876],{"categories":2322},[],{"categories":2324},[68],{"categories":2326},[68],{"categories":2328},[279],{"categories":2330},[68],{"categories":2332},[157],{"categories":2334},[],{"categories":2336},[],{"categories":2338},[68],{"categories":2340},[],{"categories":2342},[123],{"categories":2344},[68],{"categories":2346},[],{"categories":2348},[135],{"categories":2350},[135],{"categories":2352},[68],{"categories":2354},[160],{"categories":2356},[],{"categories":2358},[68],{"categories":2360},[68],{"categories":2362},[68],{"categories":2364},[160],{"categories":2366},[135],{"categories":2368},[123],{"categories":2370},[],{"categories":2372},[],{"categories":2374},[68],{"categories":2376},[68],{"categories":2378},[123],{"categories":2380},[123],{"categories":2382},[371],{"categories":2384},[135],{"categories":2386},[135],{"categories":2388},[123],{"categories":2390},[157],{"categories":2392},[157],{"categories":2394},[123],{"categories":2396},[123],{"categories":2398},[68],{"categories":2400},[113],{"categories":2402},[2217],{"categories":2404},[126],{"categories":2406},[68,279],{"categories":2408},[160],{"categories":2410},[],{"categories":2412},[209],{"categories":2414},[123],{"categories":2416},[135],{"categories":2418},[113],{"categories":2420},[68],{"categories":2422},[123],{"categories":2424},[2425],"The Designer's Role & Craft",{"categories":2427},[209],{"categories":2429},[],{"categories":2431},[123],{"categories":2433},[68],{"categories":2435},[123],{"categories":2437},[123],{"categories":2439},[68],{"categories":2441},[238],{"categories":2443},[68],{"categories":2445},[135],{"categories":2447},[68],{"categories":2449},[209],{"categories":2451},[68],{"categories":2453},[],{"categories":2455},[123],{"categories":2457},[209],{"categories":2459},[126],{"categories":2461},[68],{"categories":2463},[68],{"categories":2465},[68],{"categories":2467},[2468],"AI UX Patterns",{"categories":2470},[123],{"categories":2472},[123],{"categories":2474},[123],{"categories":2476},[123],{"categories":2478},[238],{"categories":2480},[160],{"categories":2482},[68],{"categories":2484},[123],{"categories":2486},[68],{"categories":2488},[1224],{"categories":2490},[],{"categories":2492},[238],{"categories":2494},[123],{"categories":2496},[157],{"categories":2498},[135],{"categories":2500},[68],{"categories":2502},[123],{"categories":2504},[],{"categories":2506},[],{"categories":2508},[68],{"categories":2510},[68],{"categories":2512},[123],{"categories":2514},[68],{"categories":2516},[123],{"categories":2518},[371],{"categories":2520},[209],{"categories":2522},[68],{"categories":2524},[157],{"categories":2526},[135],{"categories":2528},[68],{"categories":2530},[123],{"categories":2532},[123],{"categories":2534},[],{"categories":2536},[68],{"categories":2538},[],{"categories":2540},[],{"categories":2542},[68],{"categories":2544},[68],{"categories":2546},[68],{"categories":2548},[123],{"categories":2550},[135],{"categories":2552},[],{"categories":2554},[],{"categories":2556},[160],{"categories":2558},[146],{"categories":2560},[68],{"categories":2562},[68],{"categories":2564},[68],{"categories":2566},[160],{"categories":2568},[68],{"categories":2570},[68],{"categories":2572},[157],{"categories":2574},[68],{"categories":2576},[68],{"categories":2578},[68],{"categories":2580},[123],{"categories":2582},[68],{"categories":2584},[123],{"categories":2586},[68],{"categories":2588},[68],{"categories":2590},[68],{"categories":2592},[123],{"categories":2594},[],{"categories":2596},[68],{"categories":2598},[],{"categories":2600},[68],{"categories":2602},[68],{"categories":2604},[279],{"categories":2606},[68],{"categories":2608},[],{"categories":2610},[],{"categories":2612},[209],{"categories":2614},[903],{"categories":2616},[123],{"categories":2618},[113],{"categories":2620},[2425],{"categories":2622},[],{"categories":2624},[],{"categories":2626},[68],{"categories":2628},[],{"categories":2630},[],{"categories":2632},[135],{"categories":2634},[157],{"categories":2636},[238],{"categories":2638},[123],{"categories":2640},[118],{"categories":2642},[68],{"categories":2644},[68],{"categories":2646},[118],{"categories":2648},[],{"categories":2650},[209],{"categories":2652},[126],{"categories":2654},[68],{"categories":2656},[68],{"categories":2658},[123],{"categories":2660},[118],{"categories":2662},[68],{"categories":2664},[68],{"categories":2666},[113],{"categories":2668},[68],{"categories":2670},[68],{"categories":2672},[],{"categories":2674},[113],{"categories":2676},[68],{"categories":2678},[238],{"categories":2680},[123],{"categories":2682},[157],{"categories":2684},[68],{"categories":2686},[135],{"categories":2688},[68],{"categories":2690},[68],{"categories":2692},[118],{"categories":2694},[68],{"categories":2696},[68],{"categories":2698},[68],{"categories":2700},[123],{"categories":2702},[68],{"categories":2704},[],{"categories":2706},[68],{"categories":2708},[135],{"categories":2710},[113],{"categories":2712},[68],{"categories":2714},[68],{"categories":2716},[68],{"categories":2718},[],{"categories":2720},[68],{"categories":2722},[450],{"categories":2724},[123],{"categories":2726},[118],{"categories":2728},[157],{"categories":2730},[68],{"categories":2732},[68],{"categories":2734},[],{"categories":2736},[118],{"categories":2738},[118],{"categories":2740},[68],{"categories":2742},[68],{"categories":2744},[126],{"categories":2746},[68],{"categories":2748},[68],{"categories":2750},[68],{"categories":2752},[68],{"categories":2754},[135],{"categories":2756},[135],{"categories":2758},[68],{"categories":2760},[],{"categories":2762},[135],{"categories":2764},[68],{"categories":2766},[135],{"categories":2768},[123],{"categories":2770},[553],{"categories":2772},[],{"categories":2774},[],{"categories":2776},[68],{"categories":2778},[157],{"categories":2780},[],{"categories":2782},[279],{"categories":2784},[68],{"categories":2786},[68],{"categories":2788},[68],{"categories":2790},[209],{"categories":2792},[865],{"categories":2794},[],{"categories":2796},[68],{"categories":2798},[68],{"categories":2800},[68],{"categories":2802},[135],{"categories":2804},[68],{"categories":2806},[68],{"categories":2808},[68,279],{"categories":2810},[68],{"categories":2812},[68],{"categories":2814},[209],{"categories":2816},[123],{"categories":2818},[],{"categories":2820},[123],{"categories":2822},[123],{"categories":2824},[68],{"categories":2826},[68],{"categories":2828},[68],{"categories":2830},[68],{"categories":2832},[160],{"categories":2834},[68],{"categories":2836},[2468],{"categories":2838},[113],{"categories":2840},[160],{"categories":2842},[113],{"categories":2844},[135],{"categories":2846},[209],{"categories":2848},[123],{"categories":2850},[68],{"categories":2852},[],{"categories":2854},[118],{"categories":2856},[68],{"categories":2858},[68],{"categories":2860},[157],{"categories":2862},[68],{"categories":2864},[68],{"categories":2866},[68],{"categories":2868},[123],{"categories":2870},[68],{"categories":2872},[68],{"categories":2874},[68],{"categories":2876},[118],{"categories":2878},[],{"categories":2880},[279],{"categories":2882},[68],{"categories":2884},[371],{"categories":2886},[209],{"categories":2888},[209],{"categories":2890},[135],{"categories":2892},[123],{"categories":2894},[68],{"categories":2896},[118],{"categories":2898},[157],{"categories":2900},[68],{"categories":2902},[68],{"categories":2904},[209],{"categories":2906},[123],{"categories":2908},[123],{"categories":2910},[68],{"categories":2912},[68],{"categories":2914},[507],{"categories":2916},[123],{"categories":2918},[],{"categories":2920},[68],{"categories":2922},[68],{"categories":2924},[68],{"categories":2926},[],{"categories":2928},[],{"categories":2930},[68],{"categories":2932},[68],{"categories":2934},[123],{"categories":2936},[68],{"categories":2938},[68],{"categories":2940},[68],{"categories":2942},[135],{"categories":2944},[68],{"categories":2946},[68],{"categories":2948},[123],{"categories":2950},[68],{"categories":2952},[68],{"categories":2954},[68],{"categories":2956},[68],{"categories":2958},[68],{"categories":2960},[],{"categories":2962},[135],{"categories":2964},[160],{"categories":2966},[68],{"categories":2968},[123],{"categories":2970},[123],{"categories":2972},[68],{"categories":2974},[68],{"categories":2976},[],{"categories":2978},[],{"categories":2980},[68],{"categories":2982},[68],{"categories":2984},[68],{"categories":2986},[157],{"categories":2988},[160],{"categories":2990},[],{"categories":2992},[68],{"categories":2994},[209],{"categories":2996},[68],{"categories":2998},[279],{"categories":3000},[1784],{"categories":3002},[157],{"categories":3004},[135],{"categories":3006},[68],{"categories":3008},[135],{"categories":3010},[135],{"categories":3012},[68],{"categories":3014},[68],{"categories":3016},[135],{"categories":3018},[157],{"categories":3020},[157],{"categories":3022},[279],{"categories":3024},[123],{"categories":3026},[],{"categories":3028},[157],{"categories":3030},[68],{"categories":3032},[123],{"categories":3034},[113],{"categories":3036},[135],{"categories":3038},[68],{"categories":3040},[157],{"categories":3042},[],{"categories":3044},[68],{"categories":3046},[135],{"categories":3048},[135],{"categories":3050},[160],{"categories":3052},[68],{"categories":3054},[157],{"categories":3056},[68],{"categories":3058},[135],{"categories":3060},[123],{"categories":3062},[157],{"categories":3064},[123],{"categories":3066},[279],{"categories":3068},[123],{"categories":3070},[68],{"categories":3072},[68],{"categories":3074},[68],{"categories":3076},[68],{"categories":3078},[135],{"categories":3080},[68],{"categories":3082},[],{"categories":3084},[123],{"categories":3086},[118],{"categories":3088},[135],{"categories":3090},[],{"categories":3092},[],{"categories":3094},[68],{"categories":3096},[123],{"categories":3098},[68],{"categories":3100},[68],{"categories":3102},[3103],"Frameworks & Tooling",{"categories":3105},[68],{"categories":3107},[68],{"categories":3109},[135],{"categories":3111},[68],{"categories":3113},[68],{"categories":3115},[],{"categories":3117},[160],{"categories":3119},[160],{"categories":3121},[113],{"categories":3123},[68],{"categories":3125},[123],{"categories":3127},[68],{"categories":3129},[209],{"categories":3131},[],{"categories":3133},[1784],{"categories":3135},[68],{"categories":3137},[135],{"categories":3139},[68],{"categories":3141},[279],{"categories":3143},[279],{"categories":3145},[],{"categories":3147},[123],{"categories":3149},[68],{"categories":3151},[68],{"categories":3153},[157],{"categories":3155},[123],{"categories":3157},[157],{"categories":3159},[68],{"categories":3161},[123],{"categories":3163},[],{"categories":3165},[209],{"categories":3167},[68],{"categories":3169},[68],{"categories":3171},[],{"categories":3173},[68],{"categories":3175},[123],{"categories":3177},[68],{"categories":3179},[68],{"categories":3181},[68],{"categories":3183},[],{"categories":3185},[135],{"categories":3187},[68],{"categories":3189},[135],{"categories":3191},[279],{"categories":3193},[68],{"categories":3195},[68],{"categories":3197},[135],{"categories":3199},[118],{"categories":3201},[68],{"categories":3203},[1784],{"categories":3205},[],{"categories":3207},[123],{"categories":3209},[113],{"categories":3211},[68],{"categories":3213},[113],{"categories":3215},[68],{"categories":3217},[],{"categories":3219},[123],{"categories":3221},[68],{"categories":3223},[68],{"categories":3225},[3226],"AI Design Tooling",{"categories":3228},[209],{"categories":3230},[68],{"categories":3232},[68],{"categories":3234},[135],{"categories":3236},[209],{"categories":3238},[68],{"categories":3240},[68],{"categories":3242},[135],{"categories":3244},[157],{"categories":3246},[126],{"categories":3248},[135],{"categories":3250},[68],{"categories":3252},[68],{"categories":3254},[68],{"categories":3256},[123],{"categories":3258},[68],{"categories":3260},[],{"categories":3262},[123],{"categories":3264},[68],{"categories":3266},[68],{"categories":3268},[123],{"categories":3270},[68],{"categories":3272},[68],{"categories":3274},[68],{"categories":3276},[123],{"categories":3278},[],{"categories":3280},[123],{"categories":3282},[3103],{"categories":3284},[68],{"categories":3286},[68],{"categories":3288},[123],{"categories":3290},[123],{"categories":3292},[135],{"categories":3294},[135],{"categories":3296},[68],{"categories":3298},[],{"categories":3300},[135],{"categories":3302},[68],{"categories":3304},[68],{"categories":3306},[123],{"categories":3308},[118],{"categories":3310},[68],{"categories":3312},[],{"categories":3314},[68],{"categories":3316},[68],{"categories":3318},[2217],{"categories":3320},[],{"categories":3322},[68],{"categories":3324},[68],{"categories":3326},[68],{"categories":3328},[68],{"categories":3330},[209],{"categories":3332},[68],{"categories":3334},[],{"categories":3336},[68],{"categories":3338},[68],{"categories":3340},[68],{"categories":3342},[68],{"categories":3344},[238],{"categories":3346},[157],{"categories":3348},[68],{"categories":3350},[68],{"categories":3352},[1784],{"categories":3354},[113],{"categories":3356},[68],{"categories":3358},[68],{"categories":3360},[160],{"categories":3362},[68],{"categories":3364},[68],{"categories":3366},[157],{"categories":3368},[123],{"categories":3370},[],{"categories":3372},[68],{"categories":3374},[68],{"categories":3376},[209],{"categories":3378},[68],{"categories":3380},[238],{"categories":3382},[123],{"categories":3384},[68],{"categories":3386},[123],{"categories":3388},[],{"categories":3390},[],{"categories":3392},[],{"categories":3394},[113],{"categories":3396},[157],{"categories":3398},[123],{"categories":3400},[68],{"categories":3402},[68],{"categories":3404},[68],{"categories":3406},[68],{"categories":3408},[394],{"categories":3410},[209],{"categories":3412},[123],{"categories":3414},[68],{"categories":3416},[],{"categories":3418},[123],{"categories":3420},[123],{"categories":3422},[],{"categories":3424},[68],{"categories":3426},[123],{"categories":3428},[68],{"categories":3430},[],{"categories":3432},[68],{"categories":3434},[68],{"categories":3436},[68],{"categories":3438},[157],{"categories":3440},[209],{"categories":3442},[123],{"categories":3444},[209],{"categories":3446},[123],{"categories":3448},[68],{"categories":3450},[118],{"categories":3452},[],{"categories":3454},[],{"categories":3456},[68],{"categories":3458},[68],{"categories":3460},[68],{"categories":3462},[113],{"categories":3464},[123],{"categories":3466},[157],{"categories":3468},[],{"categories":3470},[209],{"categories":3472},[],{"categories":3474},[135],{"categories":3476},[68],{"categories":3478},[135],{"categories":3480},[209],{"categories":3482},[135],{"categories":3484},[68],{"categories":3486},[],{"categories":3488},[68],{"categories":3490},[68],{"categories":3492},[],{"categories":3494},[68],{"categories":3496},[238],{"categories":3498},[68],{"categories":3500},[279],{"categories":3502},[135],{"categories":3504},[68],{"categories":3506},[],{"categories":3508},[123],{"categories":3510},[68],{"categories":3512},[113],{"categories":3514},[507],{"categories":3516},[68],{"categories":3518},[68],{"categories":3520},[123],{"categories":3522},[68],{"categories":3524},[123],{"categories":3526},[68],{"categories":3528},[68],{"categories":3530},[68],{"categories":3532},[68],{"categories":3534},[],{"categories":3536},[68],{"categories":3538},[113],{"categories":3540},[68],{"categories":3542},[118],{"categories":3544},[135],{"categories":3546},[209],{"categories":3548},[],{"categories":3550},[68],{"categories":3552},[],{"categories":3554},[68],{"categories":3556},[],{"categories":3558},[123],{"categories":3560},[68],{"categories":3562},[135],{"categories":3564},[209],{"categories":3566},[157],{"categories":3568},[68],{"categories":3570},[157],{"categories":3572},[123],{"categories":3574},[209],{"categories":3576},[68],{"categories":3578},[],{"categories":3580},[68],{"categories":3582},[146],{"categories":3584},[123],{"categories":3586},[68],{"categories":3588},[209],{"categories":3590},[157],{"categories":3592},[118],{"categories":3594},[135],{"categories":3596},[68],{"categories":3598},[68],{"categories":3600},[68],{"categories":3602},[68],{"categories":3604},[157],{"categories":3606},[238],{"categories":3608},[],{"categories":3610},[],{"categories":3612},[160],{"categories":3614},[450],{"categories":3616},[68],{"categories":3618},[123],{"categories":3620},[68,135],{"categories":3622},[157],{"categories":3624},[68],{"categories":3626},[68],{"categories":3628},[68],{"categories":3630},[68],{"categories":3632},[68],{"categories":3634},[68],{"categories":3636},[123],{"categories":3638},[68],{"categories":3640},[123],{"categories":3642},[68],{"categories":3644},[68],{"categories":3646},[68],{"categories":3648},[],{"categories":3650},[68],{"categories":3652},[1224],{"categories":3654},[135],{"categories":3656},[209],{"categories":3658},[68],{"categories":3660},[68],{"categories":3662},[68],{"categories":3664},[160],{"categories":3666},[123],{"categories":3668},[238],{"categories":3670},[279],{"categories":3672},[],{"categories":3674},[135],{"categories":3676},[68],{"categories":3678},[118],{"categories":3680},[123],{"categories":3682},[113],{"categories":3684},[123],{"categories":3686},[68],{"categories":3688},[123],{"categories":3690},[123],{"categories":3692},[126],{"categories":3694},[135],{"categories":3696},[68],{"categories":3698},[68],{"categories":3700},[],{"categories":3702},[],{"categories":3704},[],{"categories":3706},[279],{"categories":3708},[68],{"categories":3710},[157],{"categories":3712},[68],{"categories":3714},[68],{"categories":3716},[68],{"categories":3718},[68],{"categories":3720},[],{"categories":3722},[68],{"categories":3724},[160],{"categories":3726},[118],{"categories":3728},[123],{"categories":3730},[68],{"categories":3732},[],{"categories":3734},[68],{"categories":3736},[123],{"categories":3738},[68],{"categories":3740},[279],{"categories":3742},[],{"categories":3744},[209],{"categories":3746},[209],{"categories":3748},[68],{"categories":3750},[123],{"categories":3752},[],{"categories":3754},[135],{"categories":3756},[68],{"categories":3758},[209],{"categories":3760},[68],{"categories":3762},[118],{"categories":3764},[123],{"categories":3766},[68],{"categories":3768},[],{"categories":3770},[157],{"categories":3772},[68],{"categories":3774},[68],{"categories":3776},[68],{"categories":3778},[209],{"categories":3780},[123],{"categories":3782},[157],{"categories":3784},[],{"categories":3786},[123],{"categories":3788},[118],{"categories":3790},[123],{"categories":3792},[209],{"categories":3794},[68],{"categories":3796},[68],{"categories":3798},[68],{"categories":3800},[450],{"categories":3802},[68],{"categories":3804},[123],{"categories":3806},[],{"categories":3808},[68],{"categories":3810},[68],{"categories":3812},[279],{"categories":3814},[157],{"categories":3816},[160],{"categories":3818},[553],{"categories":3820},[160],{"categories":3822},[160],{"categories":3824},[68],{"categories":3826},[],{"categories":3828},[],{"categories":3830},[],{"categories":3832},[123],{"categories":3834},[123],{"categories":3836},[123],{"categories":3838},[135],{"categories":3840},[68],{"categories":3842},[427],{"categories":3844},[135],{"categories":3846},[68],{"categories":3848},[68],{"categories":3850},[68],{"categories":3852},[68],{"categories":3854},[68],{"categories":3856},[123],{"categories":3858},[68],{"categories":3860},[],{"categories":3862},[],{"categories":3864},[68],{"categories":3866},[],{"categories":3868},[68],{"categories":3870},[123],{"categories":3872},[209],{"categories":3874},[68],{"categories":3876},[68],{"categories":3878},[],{"categories":3880},[123],{"categories":3882},[68],{"categories":3884},[68],{"categories":3886},[126],{"categories":3888},[68],{"categories":3890},[209],{"categories":3892},[68],{"categories":3894},[123],{"categories":3896},[118],{"categories":3898},[68],{"categories":3900},[238],{"categories":3902},[123],{"categories":3904},[68],{"categories":3906},[68],{"categories":3908},[865],{"categories":3910},[68],{"categories":3912},[123],{"categories":3914},[68],{"categories":3916},[135],{"categories":3918},[68],{"categories":3920},[507],{"categories":3922},[209],{"categories":3924},[],{"categories":3926},[68],{"categories":3928},[68],{"categories":3930},[157],{"categories":3932},[450],{"categories":3934},[123],{"categories":3936},[68],{"categories":3938},[],{"categories":3940},[157],{"categories":3942},[371],{"categories":3944},[123],{"categories":3946},[123],{"categories":3948},[123],{"categories":3950},[68],{"categories":3952},[68],{"categories":3954},[123],{"categories":3956},[],{"categories":3958},[118],{"categories":3960},[68],{"categories":3962},[118],{"categories":3964},[123],{"categories":3966},[],{"categories":3968},[135],{"categories":3970},[68],{"categories":3972},[68],{"categories":3974},[113],{"categories":3976},[157],{"categories":3978},[279],{"categories":3980},[146],{"categories":3982},[123],{"categories":3984},[123],{"categories":3986},[68],{"categories":3988},[68],{"categories":3990},[123],{"categories":3992},[68],{"categories":3994},[113],{"categories":3996},[],{"categories":3998},[123],{"categories":4000},[68],{"categories":4002},[68],{"categories":4004},[68],{"categories":4006},[123],{"categories":4008},[68],{"categories":4010},[],{"categories":4012},[68],{"categories":4014},[],{"categories":4016},[209],{"categories":4018},[123],{"categories":4020},[68,118],{"categories":4022},[123],{"categories":4024},[68],{"categories":4026},[],{"categories":4028},[113],{"categories":4030},[160],{"categories":4032},[118],{"categories":4034},[68],{"categories":4036},[135],{"categories":4038},[68],{"categories":4040},[68],{"categories":4042},[123],{"categories":4044},[68],{"categories":4046},[68],{"categories":4048},[68],{"categories":4050},[157],{"categories":4052},[1224],{"categories":4054},[123],{"categories":4056},[68],{"categories":4058},[],{"categories":4060},[],{"categories":4062},[68],{"categories":4064},[123],{"categories":4066},[68],{"categories":4068},[68],{"categories":4070},[279],{"categories":4072},[],{"categories":4074},[68],{"categories":4076},[123],{"categories":4078},[146],{"categories":4080},[123],{"categories":4082},[450],{"categories":4084},[],{"categories":4086},[394],{"categories":4088},[123],{"categories":4090},[68],{"categories":4092},[68],{"categories":4094},[238],{"categories":4096},[123],{"categories":4098},[68],{"categories":4100},[160],{"categories":4102},[126],{"categories":4104},[123],{"categories":4106},[68],{"categories":4108},[450],{"categories":4110},[68],{"categories":4112},[279],{"categories":4114},[118],{"categories":4116},[],{"categories":4118},[68],{"categories":4120},[68],{"categories":4122},[238],{"categories":4124},[209],{"categories":4126},[68],{"categories":4128},[68],{"categories":4130},[68],{"categories":4132},[],{"categories":4134},[238],{"categories":4136},[157],{"categories":4138},[68],{"categories":4140},[68],{"categories":4142},[68],{"categories":4144},[553],{"categories":4146},[113],{"categories":4148},[68],{"categories":4150},[126],{"categories":4152},[68],{"categories":4154},[],{"categories":4156},[],{"categories":4158},[209],{"categories":4160},[68],{"categories":4162},[160],{"categories":4164},[238],{"categories":4166},[123],{"categories":4168},[68],{"categories":4170},[68],{"categories":4172},[238],{"categories":4174},[157],{"categories":4176},[68],{"categories":4178},[],{"categories":4180},[68],{"categories":4182},[68],{"categories":4184},[],{"categories":4186},[68],{"categories":4188},[68],{"categories":4190},[578],{"categories":4192},[68],{"categories":4194},[68],{"categories":4196},[123],{"categories":4198},[135],{"categories":4200},[450],{"categories":4202},[68],{"categories":4204},[68],{"categories":4206},[68],{"categories":4208},[],{"categories":4210},[68,135],{"categories":4212},[157],{"categories":4214},[123],{"categories":4216},[135],{"categories":4218},[123],{"categories":4220},[903],{"categories":4222},[135],{"categories":4224},[135],{"categories":4226},[123],{"categories":4228},[68],{"categories":4230},[113],{"categories":4232},[],{"categories":4234},[],{"categories":4236},[123],{"categories":4238},[68],{"categories":4240},[135],{"categories":4242},[68],{"categories":4244},[113],{"categories":4246},[135],{"categories":4248},[135],{"categories":4250},[68],{"categories":4252},[238],{"categories":4254},[68],{"categories":4256},[135],{"categories":4258},[68],{"categories":4260},[],{"categories":4262},[68],{"categories":4264},[68],{"categories":4266},[209,68],{"categories":4268},[279],{"categories":4270},[113],{"categories":4272},[68],{"categories":4274},[],{"categories":4276},[68],{"categories":4278},[68],{"categories":4280},[118],{"categories":4282},[68],{"categories":4284},[118],{"categories":4286},[68],{"categories":4288},[68],{"categories":4290},[371],{"categories":4292},[68],{"categories":4294},[118],{"categories":4296},[135],{"categories":4298},[160],{"categories":4300},[123],{"categories":4302},[68],{"categories":4304},[135],{"categories":4306},[68],{"categories":4308},[68],{"categories":4310},[157],{"categories":4312},[238],{"categories":4314},[209],{"categories":4316},[68],{"categories":4318},[68],{"categories":4320},[68],{"categories":4322},[68],{"categories":4324},[113],{"categories":4326},[68],{"categories":4328},[123],{"categories":4330},[123],{"categories":4332},[135],{"categories":4334},[157],{"categories":4336},[135],{"categories":4338},[135],{"categories":4340},[68],{"categories":4342},[68],{"categories":4344},[],{"categories":4346},[],{"categories":4348},[160],{"categories":4350},[68],{"categories":4352},[135],{"categories":4354},[68],{"categories":4356},[209],{"categories":4358},[450],{"categories":4360},[394],{"categories":4362},[371],{"categories":4364},[68],{"categories":4366},[68],{"categories":4368},[68],{"categories":4370},[160],{"categories":4372},[68],{"categories":4374},[68],{"categories":4376},[68],{"categories":4378},[68],{"categories":4380},[68],{"categories":4382},[68],{"categories":4384},[68],{"categories":4386},[123],{"categories":4388},[113],{"categories":4390},[123],{"categories":4392},[68,118],{"categories":4394},[],{"categories":4396},[209],{"categories":4398},[],{"categories":4400},[126],{"categories":4402},[68],{"categories":4404},[157],{"categories":4406},[113],{"categories":4408},[68],{"categories":4410},[113],{"categories":4412},[123],{"categories":4414},[160],{"categories":4416},[123],{"categories":4418},[126],{"categories":4420},[123],{"categories":4422},[68],{"categories":4424},[68],{"categories":4426},[118],{"categories":4428},[123],{"categories":4430},[135],{"categories":4432},[238],{"categories":4434},[68],{"categories":4436},[68],{"categories":4438},[],{"categories":4440},[157],{"categories":4442},[68],{"categories":4444},[68],{"categories":4446},[68],{"categories":4448},[68],{"categories":4450},[68],{"categories":4452},[68],{"categories":4454},[135],{"categories":4456},[157],{"categories":4458},[135],{"categories":4460},[135],{"categories":4462},[68],{"categories":4464},[68],{"categories":4466},[68],{"categories":4468},[68],{"categories":4470},[394],{"categories":4472},[68],{"categories":4474},[123],{"categories":4476},[157],{"categories":4478},[68],{"categories":4480},[68],{"categories":4482},[68],{"categories":4484},[123],{"categories":4486},[68],{"categories":4488},[68],{"categories":4490},[68],{"categories":4492},[3103],{"categories":4494},[4495],"Clinical AI",{"categories":4497},[209],{"categories":4499},[68],{"categories":4501},[68],{"categories":4503},[68],{"categories":4505},[68],{"categories":4507},[279],{"categories":4509},[2468],{"categories":4511},[68],{"categories":4513},[126],{"categories":4515},[68],{"categories":4517},[123],{"categories":4519},[68],{"categories":4521},[68],{"categories":4523},[157],{"categories":4525},[68],{"categories":4527},[123],{"categories":4529},[135],{"categories":4531},[238],{"categories":4533},[68],{"categories":4535},[68],{"categories":4537},[118],{"categories":4539},[68],{"categories":4541},[68],{"categories":4543},[507],{"categories":4545},[68],{"categories":4547},[],{"categories":4549},[123],{"categories":4551},[68],{"categories":4553},[135],{"categories":4555},[113],{"categories":4557},[68],{"categories":4559},[],{"categories":4561},[],{"categories":4563},[68],{"categories":4565},[],{"categories":4567},[118],{"categories":4569},[68],{"categories":4571},[68],{"categories":4573},[123],{"categories":4575},[68],{"categories":4577},[157],{"categories":4579},[157],{"categories":4581},[157],{"categories":4583},[157],{"categories":4585},[],{"categories":4587},[113],{"categories":4589},[123],{"categories":4591},[157],{"categories":4593},[68],{"categories":4595},[578],{"categories":4597},[126],{"categories":4599},[123],{"categories":4601},[68],{"categories":4603},[113],{"categories":4605},[68],{"categories":4607},[123],{"categories":4609},[68],{"categories":4611},[68],{"categories":4613},[68],{"categories":4615},[68,123],{"categories":4617},[123],{"categories":4619},[279],{"categories":4621},[157],{"categories":4623},[123],{"categories":4625},[157],{"categories":4627},[123],{"categories":4629},[68],{"categories":4631},[],{"categories":4633},[157],{"categories":4635},[238],{"categories":4637},[113],{"categories":4639},[68],{"categories":4641},[68],{"categories":4643},[],{"categories":4645},[135],{"categories":4647},[],{"categories":4649},[113],{"categories":4651},[123],{"categories":4653},[157],{"categories":4655},[68],{"categories":4657},[157],{"categories":4659},[113],{"categories":4661},[157],{"categories":4663},[157],{"categories":4665},[],{"categories":4667},[118],{"categories":4669},[123],{"categories":4671},[157],{"categories":4673},[157],{"categories":4675},[157],{"categories":4677},[157],{"categories":4679},[157],{"categories":4681},[157],{"categories":4683},[157],{"categories":4685},[157],{"categories":4687},[157],{"categories":4689},[157],{"categories":4691},[160],{"categories":4693},[113],{"categories":4695},[68],{"categories":4697},[68],{"categories":4699},[123],{"categories":4701},[123],{"categories":4703},[],{"categories":4705},[68],{"categories":4707},[68,113],{"categories":4709},[],{"categories":4711},[123],{"categories":4713},[68],{"categories":4715},[157],{"categories":4717},[123],{"categories":4719},[903],{"categories":4721},[68],{"categories":4723},[68],{"categories":4725},[68],{"categories":4727},[68],{"categories":4729},[68],{"categories":4731},[371],{"categories":4733},[68],{"categories":4735},[68],{"categories":4737},[123],{"categories":4739},[68],{"categories":4741},[68],{"categories":4743},[118],{"categories":4745},[126],{"categories":4747},[123],{"categories":4749},[123],{"categories":4751},[],{"categories":4753},[123],{"categories":4755},[209],{"categories":4757},[157],{"categories":4759},[68],{"categories":4761},[],{"categories":4763},[126],{"categories":4765},[],{"categories":4767},[135],{"categories":4769},[68],{"categories":4771},[123],{"categories":4773},[209],{"categories":4775},[68],{"categories":4777},[],{"categories":4779},[68],{"categories":4781},[],{"categories":4783},[238],{"categories":4785},[68],{"categories":4787},[123],{"categories":4789},[],{"categories":4791},[],{"categories":4793},[157],{"categories":4795},[113],{"categories":4797},[68],{"categories":4799},[68],{"categories":4801},[118],{"categories":4803},[68],{"categories":4805},[68],{"categories":4807},[123],{"categories":4809},[68],{"categories":4811},[118],{"categories":4813},[118],{"categories":4815},[209],{"categories":4817},[],{"categories":4819},[68],{"categories":4821},[157],{"categories":4823},[],{"categories":4825},[68],{"categories":4827},[68],{"categories":4829},[209],{"categories":4831},[68],{"categories":4833},[68],{"categories":4835},[238],{"categories":4837},[68],{"categories":4839},[279],{"categories":4841},[],{"categories":4843},[123],{"categories":4845},[68],{"categories":4847},[238],{"categories":4849},[135],{"categories":4851},[],{"categories":4853},[68],{"categories":4855},[],{"categories":4857},[123],{"categories":4859},[209],{"categories":4861},[135],{"categories":4863},[],{"categories":4865},[3103],{"categories":4867},[118],{"categories":4869},[113],{"categories":4871},[68],{"categories":4873},[160],{"categories":4875},[123],{"categories":4877},[209],{"categories":4879},[68],{"categories":4881},[135],{"categories":4883},[],{"categories":4885},[],{"categories":4887},[68],{"categories":4889},[113],{"categories":4891},[68],{"categories":4893},[238],{"categories":4895},[],{"categories":4897},[123],{"categories":4899},[123],{"categories":4901},[68],{"categories":4903},[123],{"categories":4905},[68],{"categories":4907},[157],{"categories":4909},[135],{"categories":4911},[68],{"categories":4913},[123],{"categories":4915},[126],{"categories":4917},[68],{"categories":4919},[68],{"categories":4921},[68],{"categories":4923},[123],{"categories":4925},[68],{"categories":4927},[126],{"categories":4929},[238],{"categories":4931},[157],{"categories":4933},[],{"categories":4935},[238],{"categories":4937},[68],{"categories":4939},[],{"categories":4941},[135],{"categories":4943},[123],{"categories":4945},[],{"categories":4947},[68],{"categories":4949},[68],{"categories":4951},[68],{"categories":4953},[68],{"categories":4955},[68],{"categories":4957},[123],{"categories":4959},[118],{"categories":4961},[113],{"categories":4963},[123],{"categories":4965},[68],{"categories":4967},[209],{"categories":4969},[135],{"categories":4971},[135],{"categories":4973},[68],{"categories":4975},[160],{"categories":4977},[123],{"categories":4979},[68],{"categories":4981},[68],{"categories":4983},[123],{"categories":4985},[68],{"categories":4987},[68],{"categories":4989},[123],{"categories":4991},[118],{"categories":4993},[68],{"categories":4995},[209],{"categories":4997},[135],{"categories":4999},[123],{"categories":5001},[68],{"categories":5003},[126],{"categories":5005},[68],{"categories":5007},[123],{"categories":5009},[68],{"categories":5011},[68],{"categories":5013},[157],{"categories":5015},[68],{"categories":5017},[],{"categories":5019},[113],{"categories":5021},[68],{"categories":5023},[68],{"categories":5025},[68],{"categories":5027},[135],{"categories":5029},[135],{"categories":5031},[68],{"categories":5033},[135],{"categories":5035},[68],{"categories":5037},[123],{"categories":5039},[68],{"categories":5041},[68],{"categories":5043},[68],{"categories":5045},[68],{"categories":5047},[68],{"categories":5049},[],{"categories":5051},[68],{"categories":5053},[209],{"categories":5055},[123],{"categories":5057},[118],{"categories":5059},[157],{"categories":5061},[68],{"categories":5063},[123],{"categories":5065},[68],{"categories":5067},[123],{"categories":5069},[68],{"categories":5071},[68],{"categories":5073},[209],{"categories":5075},[123],{"categories":5077},[68],{"categories":5079},[238],{"categories":5081},[68],{"categories":5083},[160],{"categories":5085},[68],{"categories":5087},[68],{"categories":5089},[157],{"categories":5091},[68],{"categories":5093},[68],{"categories":5095},[68],{"categories":5097},[68],{"categories":5099},[123],{"categories":5101},[279],{"categories":5103},[68],{"categories":5105},[135],{"categories":5107},[123],{"categories":5109},[160],{"categories":5111},[],{"categories":5113},[123],{"categories":5115},[135],{"categories":5117},[68],{"categories":5119},[68],{"categories":5121},[2306],{"categories":5123},[209],{"categories":5125},[308],{"categories":5127},[68],{"categories":5129},[68],{"categories":5131},[68],{"categories":5133},[68],{"categories":5135},[113],{"categories":5137},[68],{"categories":5139},[68],{"categories":5141},[135],{"categories":5143},[118],{"categories":5145},[68],{"categories":5147},[135],{"categories":5149},[68],{"categories":5151},[],{"categories":5153},[123],{"categories":5155},[123],{"categories":5157},[68],{"categories":5159},[68],{"categories":5161},[68],{"categories":5163},[160],{"categories":5165},[],{"categories":5167},[157],{"categories":5169},[],{"categories":5171},[157],{"categories":5173},[68],{"categories":5175},[68],{"categories":5177},[123],{"categories":5179},[68],{"categories":5181},[123],{"categories":5183},[123],{"categories":5185},[],{"categories":5187},[68],{"categories":5189},[157],{"categories":5191},[68],{"categories":5193},[],{"categories":5195},[68],{"categories":5197},[68],{"categories":5199},[],{"categories":5201},[68],{"categories":5203},[68],{"categories":5205},[209],{"categories":5207},[135],{"categories":5209},[123],{"categories":5211},[68],{"categories":5213},[68],{"categories":5215},[68],{"categories":5217},[68],{"categories":5219},[238],{"categories":5221},[68],{"categories":5223},[68],{"categories":5225},[68],{"categories":5227},[113],{"categories":5229},[68],{"categories":5231},[68],{"categories":5233},[],{"categories":5235},[68],{"categories":5237},[68],{"categories":5239},[68],{"categories":5241},[],{"categories":5243},[113],{"categories":5245},[68],{"categories":5247},[68],{"categories":5249},[157],{"categories":5251},[135],{"categories":5253},[126],{"categories":5255},[123],{"categories":5257},[450],{"categories":5259},[68],{"categories":5261},[68],{"categories":5263},[68],{"categories":5265},[135],{"categories":5267},[157],{"categories":5269},[209],{"categories":5271},[68],{"categories":5273},[68],{"categories":5275},[68],{"categories":5277},[68],{"categories":5279},[157],{"categories":5281},[68],{"categories":5283},[209],{"categories":5285},[68],{"categories":5287},[68],{"categories":5289},[157],{"categories":5291},[209],{"categories":5293},[68],{"categories":5295},[157],{"categories":5297},[68],{"categories":5299},[123],{"categories":5301},[123],{"categories":5303},[123],{"categories":5305},[135],{"categories":5307},[157],{"categories":5309},[123],{"categories":5311},[123],{"categories":5313},[68],{"categories":5315},[135],{"categories":5317},[209],{"categories":5319},[68],{"categories":5321},[68],{"categories":5323},[123],{"categories":5325},[68],{"categories":5327},[],{"categories":5329},[123],{"categories":5331},[],{"categories":5333},[68],{"categories":5335},[68],{"categories":5337},[],{"categories":5339},[],{"categories":5341},[123],{"categories":5343},[118],{"categories":5345},[123],{"categories":5347},[5348],"Liability & Ethics",{"categories":5350},[68],{"categories":5352},[68],{"categories":5354},[68],{"categories":5356},[123],{"categories":5358},[113],{"categories":5360},[123],{"categories":5362},[118],{"categories":5364},[238],{"categories":5366},[123],{"categories":5368},[68],{"categories":5370},[68],{"categories":5372},[],{"categories":5374},[553],{"categories":5376},[123],{"categories":5378},[],{"categories":5380},[68],{"categories":5382},[113],{"categories":5384},[123],{"categories":5386},[],{"categories":5388},[123],{"categories":5390},[68],{"categories":5392},[68],{"categories":5394},[135],{"categories":5396},[68],{"categories":5398},[157],{"categories":5400},[68],{"categories":5402},[68],{"categories":5404},[123],{"categories":5406},[68],{"categories":5408},[68],{"categories":5410},[68],{"categories":5412},[157],{"categories":5414},[123],{"categories":5416},[135],{"categories":5418},[209],{"categories":5420},[113],{"categories":5422},[68],{"categories":5424},[68],{"categories":5426},[68],{"categories":5428},[],{"categories":5430},[123],{"categories":5432},[123],{"categories":5434},[123],{"categories":5436},[450],{"categories":5438},[209],{"categories":5440},[123],{"categories":5442},[279],{"categories":5444},[135],{"categories":5446},[157],{"categories":5448},[68],{"categories":5450},[209],{"categories":5452},[68],{"categories":5454},[113],{"categories":5456},[],{"categories":5458},[123],{"categories":5460},[68],{"categories":5462},[68],{"categories":5464},[68],{"categories":5466},[68],{"categories":5468},[123],{"categories":5470},[68],{"categories":5472},[68],{"categories":5474},[209],{"categories":5476},[],{"categories":5478},[123],{"categories":5480},[126],{"categories":5482},[157],{"categories":5484},[123],{"categories":5486},[118],{"categories":5488},[],{"categories":5490},[68],{"categories":5492},[68],{"categories":5494},[126],{"categories":5496},[68],{"categories":5498},[123],{"categories":5500},[157],{"categories":5502},[113],{"categories":5504},[279],{"categories":5506},[68],{"categories":5508},[68],{"categories":5510},[68],{"categories":5512},[157],{"categories":5514},[118],{"categories":5516},[68],{"categories":5518},[209],{"categories":5520},[157],{"categories":5522},[279],{"categories":5524},[68],{"categories":5526},[123],{"categories":5528},[],{"categories":5530},[507],{"categories":5532},[],{"categories":5534},[68],{"categories":5536},[279],{"categories":5538},[68],{"categories":5540},[160],{"categories":5542},[68],{"categories":5544},[123],{"categories":5546},[123],{"categories":5548},[5549],"Design News & Tools",{"categories":5551},[68],{"categories":5553},[157],{"categories":5555},[68],{"categories":5557},[68],{"categories":5559},[113],{"categories":5561},[123],{"categories":5563},[68],{"categories":5565},[209],{"categories":5567},[123],{"categories":5569},[123],{"categories":5571},[209],{"categories":5573},[68],{"categories":5575},[450],{"categories":5577},[123],{"categories":5579},[68],{"categories":5581},[68],{"categories":5583},[450],{"categories":5585},[68],{"categories":5587},[238],{"categories":5589},[68],{"categories":5591},[123],{"categories":5593},[],{"categories":5595},[68],{"categories":5597},[68],{"categories":5599},[68],{"categories":5601},[157],{"categories":5603},[113],{"categories":5605},[],{"categories":5607},[68],{"categories":5609},[68],{"categories":5611},[68],{"categories":5613},[135],{"categories":5615},[578],{"categories":5617},[135],{"categories":5619},[209],{"categories":5621},[68],{"categories":5623},[68,123],{"categories":5625},[238,118],{"categories":5627},[135],{"categories":5629},[68],{"categories":5631},[68],{"categories":5633},[68],{"categories":5635},[68],{"categories":5637},[],{"categories":5639},[123],{"categories":5641},[68],{"categories":5643},[],{"categories":5645},[68],{"categories":5647},[135],{"categories":5649},[68],{"categories":5651},[135],{"categories":5653},[],{"categories":5655},[123],{"categories":5657},[68],{"categories":5659},[118],{"categories":5661},[68],{"categories":5663},[157],{"categories":5665},[68],{"categories":5667},[],{"categories":5669},[123],{"categories":5671},[68],{"categories":5673},[],{"categories":5675},[209],{"categories":5677},[68],{"categories":5679},[68],{"categories":5681},[123],{"categories":5683},[68],{"categories":5685},[68],{"categories":5687},[113],{"categories":5689},[123],{"categories":5691},[68],{"categories":5693},[],{"categories":5695},[68],{"categories":5697},[279],{"categories":5699},[238],{"categories":5701},[118],{"categories":5703},[118],{"categories":5705},[68],{"categories":5707},[113],{"categories":5709},[113],{"categories":5711},[68],{"categories":5713},[123],{"categories":5715},[68],{"categories":5717},[68],{"categories":5719},[68],{"categories":5721},[68],{"categories":5723},[135],{"categories":5725},[68],{"categories":5727},[113],{"categories":5729},[68],{"categories":5731},[68],{"categories":5733},[123],{"categories":5735},[68],{"categories":5737},[238],{"categories":5739},[68],{"categories":5741},[157],{"categories":5743},[68],{"categories":5745},[68],{"categories":5747},[123],{"categories":5749},[68],{"categories":5751},[68],{"categories":5753},[123],{"categories":5755},[],{"categories":5757},[135],{"categories":5759},[],{"categories":5761},[135],{"categories":5763},[123],{"categories":5765},[113],{"categories":5767},[68],{"categories":5769},[],{"categories":5771},[160],{"categories":5773},[279],{"categories":5775},[68],{"categories":5777},[135],{"categories":5779},[68],{"categories":5781},[],{"categories":5783},[157],{"categories":5785},[123],{"categories":5787},[135],{"categories":5789},[209],{"categories":5791},[118],{"categories":5793},[68],{"categories":5795},[68],{"categories":5797},[123],{"categories":5799},[135],{"categories":5801},[123],{"categories":5803},[157],{"categories":5805},[68],{"categories":5807},[126],{"categories":5809},[113],{"categories":5811},[126],{"categories":5813},[157],{"categories":5815},[68],{"categories":5817},[135],{"categories":5819},[68],{"categories":5821},[209],{"categories":5823},[118],{"categories":5825},[68],{"categories":5827},[68],{"categories":5829},[68],{"categories":5831},[68],{"categories":5833},[68],{"categories":5835},[68],{"categories":5837},[123],{"categories":5839},[68],{"categories":5841},[123],{"categories":5843},[68],{"categories":5845},[68],{"categories":5847},[113],{"categories":5849},[68],{"categories":5851},[123],{"categories":5853},[123],{"categories":5855},[209],{"categories":5857},[123],{"categories":5859},[123],{"categories":5861},[68],{"categories":5863},[113],{"categories":5865},[123],{"categories":5867},[209],{"categories":5869},[],{"categories":5871},[68],{"categories":5873},[160],{"categories":5875},[450],{"categories":5877},[68],{"categories":5879},[68],{"categories":5881},[68],{"categories":5883},[135],{"categories":5885},[68],{"categories":5887},[],{"categories":5889},[68],{"categories":5891},[123],{"categories":5893},[68],{"categories":5895},[238],{"categories":5897},[68],{"categories":5899},[135],{"categories":5901},[68],{"categories":5903},[157],{"categories":5905},[123],{"categories":5907},[68],{"categories":5909},[238],{"categories":5911},[123],{"categories":5913},[118],{"categories":5915},[118],{"categories":5917},[68],{"categories":5919},[68],{"categories":5921},[68],{"categories":5923},[68],{"categories":5925},[68],{"categories":5927},[68],{"categories":5929},[113],{"categories":5931},[],{"categories":5933},[68],{"categories":5935},[68],{"categories":5937},[123],{"categories":5939},[123],{"categories":5941},[68],{"categories":5943},[68],{"categories":5945},[68],{"categories":5947},[68],{"categories":5949},[68],{"categories":5951},[135],{"categories":5953},[],{"categories":5955},[113],{"categories":5957},[68],{"categories":5959},[68],{"categories":5961},[123],{"categories":5963},[123],{"categories":5965},[],{"categories":5967},[135],{"categories":5969},[135],{"categories":5971},[68],{"categories":5973},[238],{"categories":5975},[118],{"categories":5977},[209],{"categories":5979},[],{"categories":5981},[68],{"categories":5983},[123],{"categories":5985},[113],{"categories":5987},[68],{"categories":5989},[68],{"categories":5991},[135],{"categories":5993},[113],{"categories":5995},[68],{"categories":5997},[68],{"categories":5999},[157],{"categories":6001},[160],{"categories":6003},[68],{"categories":6005},[157],{"categories":6007},[123],{"categories":6009},[68],{"categories":6011},[],{"categories":6013},[157],{"categories":6015},[123],{"categories":6017},[209],{"categories":6019},[160],{"categories":6021},[68],{"categories":6023},[68],{"categories":6025},[],{"categories":6027},[123],{"categories":6029},[123],{"categories":6031},[123],{"categories":6033},[3103],{"categories":6035},[157],{"categories":6037},[68],{"categories":6039},[135],{"categories":6041},[68],{"categories":6043},[68],{"categories":6045},[68],{"categories":6047},[68],{"categories":6049},[68],{"categories":6051},[118],{"categories":6053},[68],{"categories":6055},[113],{"categories":6057},[1784],{"categories":6059},[279],{"categories":6061},[113],{"categories":6063},[],{"categories":6065},[68],{"categories":6067},[],{"categories":6069},[157],{"categories":6071},[123],{"categories":6073},[209],{"categories":6075},[68],{"categories":6077},[68],{"categories":6079},[68],{"categories":6081},[157],{"categories":6083},[],{"categories":6085},[123],{"categories":6087},[68],{"categories":6089},[123],{"categories":6091},[123],{"categories":6093},[],{"categories":6095},[68],{"categories":6097},[],{"categories":6099},[157],{"categories":6101},[113],{"categories":6103},[209],{"categories":6105},[68],{"categories":6107},[123],{"categories":6109},[157],{"categories":6111},[68],{"categories":6113},[157],{"categories":6115},[],{"categories":6117},[157],{"categories":6119},[68],{"categories":6121},[113],{"categories":6123},[450],{"categories":6125},[123],{"categories":6127},[68],{"categories":6129},[],{"categories":6131},[135],{"categories":6133},[123],{"categories":6135},[126],{"categories":6137},[123],{"categories":6139},[113],{"categories":6141},[68],{"categories":6143},[],{"categories":6145},[],{"categories":6147},[],{"categories":6149},[209],{"categories":6151},[68],{"categories":6153},[123],{"categories":6155},[68],{"categories":6157},[68],{"categories":6159},[],{"categories":6161},[],{"categories":6163},[],{"categories":6165},[68],{"categories":6167},[123],{"categories":6169},[209],{"categories":6171},[68],{"categories":6173},[],{"categories":6175},[123],{"categories":6177},[68],{"categories":6179},[68],{"categories":6181},[113],{"categories":6183},[],{"categories":6185},[],{"categories":6187},[68],{"categories":6189},[68],{"categories":6191},[123],{"categories":6193},[209],{"categories":6195},[68],{"categories":6197},[157],{"categories":6199},[],{"categories":6201},[68],{"categories":6203},[68],{"categories":6205},[238],{"categories":6207},[157],{"categories":6209},[238],{"categories":6211},[160],{"categories":6213},[68],{"categories":6215},[68],{"categories":6217},[],{"categories":6219},[],{"categories":6221},[123],{"categories":6223},[],{"categories":6225},[68],{"categories":6227},[450],{"categories":6229},[68],{"categories":6231},[68],{"categories":6233},[68],{"categories":6235},[68],{"categories":6237},[],{"categories":6239},[123],{"categories":6241},[68],{"categories":6243},[68],{"categories":6245},[],{"categories":6247},[123],{"categories":6249},[68],{"categories":6251},[157],{"categories":6253},[68],{"categories":6255},[238],{"categories":6257},[118],{"categories":6259},[68],{"categories":6261},[68],{"categories":6263},[123],{"categories":6265},[160],{"categories":6267},[123],{"categories":6269},[123],{"categories":6271},[],{"categories":6273},[68],{"categories":6275},[123],{"categories":6277},[],{"categories":6279},[68],{"categories":6281},[],{"categories":6283},[157],{"categories":6285},[118],{"categories":6287},[],{"categories":6289},[68],{"categories":6291},[68],{"categories":6293},[],{"categories":6295},[123],{"categories":6297},[209],{"categories":6299},[113],{"categories":6301},[68],{"categories":6303},[],{"categories":6305},[118],{"categories":6307},[238],{"categories":6309},[68],{"categories":6311},[135],{"categories":6313},[113],{"categories":6315},[160],{"categories":6317},[118],{"categories":6319},[135],{"categories":6321},[123],{"categories":6323},[135],{"categories":6325},[],{"categories":6327},[68],{"categories":6329},[126],{"categories":6331},[68],{"categories":6333},[],{"categories":6335},[123],{"categories":6337},[113],{"categories":6339},[209],{"categories":6341},[68],{"categories":6343},[113],{"categories":6345},[123],{"categories":6347},[279],{"categories":6349},[68],{"categories":6351},[68],{"categories":6353},[68],{"categories":6355},[68],{"categories":6357},[113],{"categories":6359},[68],{"categories":6361},[160],{"categories":6363},[123],{"categories":6365},[],{"categories":6367},[68],{"categories":6369},[68],{"categories":6371},[68],{"categories":6373},[135],{"categories":6375},[123],{"categories":6377},[157],{"categories":6379},[135],{"categories":6381},[68],{"categories":6383},[126],{"categories":6385},[],{"categories":6387},[209],{"categories":6389},[135],{"categories":6391},[157],{"categories":6393},[113],{"categories":6395},[123],{"categories":6397},[68],{"categories":6399},[68],{"categories":6401},[123],{"categories":6403},[126],{"categories":6405},[68],{"categories":6407},[123],{"categories":6409},[68],{"categories":6411},[118],{"categories":6413},[123],{"categories":6415},[123,279],{"categories":6417},[68],{"categories":6419},[68],{"categories":6421},[123],{"categories":6423},[135],{"categories":6425},[68],{"categories":6427},[68],{"categories":6429},[160],{"categories":6431},[123],{"categories":6433},[238],{"categories":6435},[123],{"categories":6437},[118],{"categories":6439},[],{"categories":6441},[123],{"categories":6443},[68],{"categories":6445},[118],{"categories":6447},[],{"categories":6449},[],{"categories":6451},[135],{"categories":6453},[68],{"categories":6455},[68],{"categories":6457},[123],{"categories":6459},[160],{"categories":6461},[238],{"categories":6463},[68],{"categories":6465},[68],{"categories":6467},[68],{"categories":6469},[123],{"categories":6471},[],{"categories":6473},[123],{"categories":6475},[157],{"categories":6477},[68],{"categories":6479},[123],{"categories":6481},[123],{"categories":6483},[68],{"categories":6485},[],{"categories":6487},[157],{"categories":6489},[135],{"categories":6491},[3103],{"categories":6493},[113],{"categories":6495},[135],{"categories":6497},[68],{"categories":6499},[123],{"categories":6501},[68],{"categories":6503},[68],{"categories":6505},[238],{"categories":6507},[135],{"categories":6509},[160],{"categories":6511},[],{"categories":6513},[157],{"categories":6515},[68],{"categories":6517},[68],{"categories":6519},[],{"categories":6521},[123],{"categories":6523},[68],{"categories":6525},[68],{"categories":6527},[68],{"categories":6529},[68],{"categories":6531},[123],{"categories":6533},[68],{"categories":6535},[68],{"categories":6537},[68],{"categories":6539},[126],{"categories":6541},[68],{"categories":6543},[123],{"categories":6545},[68],{"categories":6547},[68],{"categories":6549},[68],{"categories":6551},[68],{"categories":6553},[68],{"categories":6555},[68],{"categories":6557},[68],{"categories":6559},[118],{"categories":6561},[],{"categories":6563},[126],{"categories":6565},[157],{"categories":6567},[123],{"categories":6569},[68],{"categories":6571},[135],{"categories":6573},[],{"categories":6575},[135],{"categories":6577},[135],{"categories":6579},[123],{"categories":6581},[135],{"categories":6583},[68],{"categories":6585},[68],{"categories":6587},[68],{"categories":6589},[123],{"categories":6591},[135],{"categories":6593},[68],{"categories":6595},[68],{"categories":6597},[68],{"categories":6599},[123],{"categories":6601},[157],{"categories":6603},[68],{"categories":6605},[68],{"categories":6607},[68],{"categories":6609},[118],{"categories":6611},[68],{"categories":6613},[123],{"categories":6615},[209],{"categories":6617},[],{"categories":6619},[68],{"categories":6621},[160],{"categories":6623},[123],{"categories":6625},[68],{"categories":6627},[68],{"categories":6629},[],{"categories":6631},[68],{"categories":6633},[68],{"categories":6635},[157],{"categories":6637},[68],{"categories":6639},[68],{"categories":6641},[123],{"categories":6643},[238],{"categories":6645},[],{"categories":6647},[],{"categories":6649},[135],{"categories":6651},[68],{"categories":6653},[68],{"categories":6655},[157],{"categories":6657},[68],{"categories":6659},[135],{"categories":6661},[157],{"categories":6663},[68],{"categories":6665},[68],{"categories":6667},[238],{"categories":6669},[160],{"categories":6671},[68],{"categories":6673},[68],{"categories":6675},[113],{"categories":6677},[123],{"categories":6679},[68],{"categories":6681},[68],{"categories":6683},[123],{"categories":6685},[118],{"categories":6687},[123],{"categories":6689},[135],{"categories":6691},[68],{"categories":6693},[118],{"categories":6695},[],{"categories":6697},[68],{"categories":6699},[160],{"categories":6701},[68],{"categories":6703},[68],{"categories":6705},[],{"categories":6707},[157],{"categories":6709},[68],{"categories":6711},[123],{"categories":6713},[160],{"categories":6715},[68],{"categories":6717},[135],{"categories":6719},[135],{"categories":6721},[135],{"categories":6723},[68],{"categories":6725},[123],{"categories":6727},[123],{"categories":6729},[68],{"categories":6731},[123],{"categories":6733},[68],{"categories":6735},[68],{"categories":6737},[209],{"categories":6739},[160],{"categories":6741},[160],{"categories":6743},[],{"categories":6745},[157],{"categories":6747},[68],{"categories":6749},[68],{"categories":6751},[135],{"categories":6753},[],{"categories":6755},[157],{"categories":6757},[157],{"categories":6759},[157],{"categories":6761},[],{"categories":6763},[123],{"categories":6765},[68],{"categories":6767},[],{"categories":6769},[113],{"categories":6771},[118],{"categories":6773},[],{"categories":6775},[68],{"categories":6777},[68],{"categories":6779},[],{"categories":6781},[135],{"categories":6783},[],{"categories":6785},[],{"categories":6787},[],{"categories":6789},[],{"categories":6791},[68],{"categories":6793},[157],{"categories":6795},[],{"categories":6797},[],{"categories":6799},[68],{"categories":6801},[68],{"categories":6803},[68],{"categories":6805},[160],{"categories":6807},[68],{"categories":6809},[160],{"categories":6811},[],{"categories":6813},[160],{"categories":6815},[160],{"categories":6817},[279],{"categories":6819},[123],{"categories":6821},[135],{"categories":6823},[],{"categories":6825},[],{"categories":6827},[160],{"categories":6829},[135],{"categories":6831},[135],{"categories":6833},[135],{"categories":6835},[],{"categories":6837},[113],{"categories":6839},[135],{"categories":6841},[135],{"categories":6843},[113],{"categories":6845},[135],{"categories":6847},[118],{"categories":6849},[135],{"categories":6851},[135],{"categories":6853},[135],{"categories":6855},[160],{"categories":6857},[157],{"categories":6859},[157],{"categories":6861},[68],{"categories":6863},[135],{"categories":6865},[160],{"categories":6867},[279],{"categories":6869},[160],{"categories":6871},[160],{"categories":6873},[160],{"categories":6875},[],{"categories":6877},[118],{"categories":6879},[],{"categories":6881},[279],{"categories":6883},[135],{"categories":6885},[135],{"categories":6887},[135],{"categories":6889},[123],{"categories":6891},[157,118],{"categories":6893},[160],{"categories":6895},[],{"categories":6897},[],{"categories":6899},[160],{"categories":6901},[],{"categories":6903},[160],{"categories":6905},[157],{"categories":6907},[123],{"categories":6909},[],{"categories":6911},[135],{"categories":6913},[68],{"categories":6915},[209],{"categories":6917},[],{"categories":6919},[68],{"categories":6921},[],{"categories":6923},[157],{"categories":6925},[113],{"categories":6927},[160],{"categories":6929},[],{"categories":6931},[135],{"categories":6933},[157],[6935,7022,7128,7287],{"id":6936,"title":6937,"ai":6938,"body":6943,"categories":6987,"created_at":69,"date_modified":69,"description":62,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":6988,"navigation":89,"path":7005,"published_at":7006,"question":69,"scraped_at":7007,"seo":7008,"sitemap":7009,"source_id":7010,"source_name":7011,"source_type":7012,"source_url":7013,"stem":7014,"tags":7015,"thumbnail_url":7017,"tldr":7018,"tweet":7019,"unknown_tags":7020,"__hash__":7021},"summaries\u002Fsummaries\u002Fa337a17ebad6679e-the-state-of-ai-models-moats-and-the-consumer-rena-summary.md","The State of AI: Models, Moats, and the Consumer Renaissance",{"provider":7,"model":8,"input_tokens":6939,"output_tokens":6940,"processing_time_ms":6941,"cost_usd":6942},8832,823,4146,0.0034425,{"type":14,"value":6944,"toc":6980},[6945,6949,6952,6956,6959,6963,6966,6970,6973,6977],[17,6946,6948],{"id":6947},"the-model-landscape-a-multi-winner-future","The Model Landscape: A Multi-Winner Future",[22,6950,6951],{},"Anish Acharya argues against the idea of a single dominant AI model provider, suggesting instead that we are entering a \"many winners\" era. The rapid rise of XAI alongside established players like Anthropic and OpenAI demonstrates that the market is not a zero-sum game. Models are increasingly specializing, with distinct \"personalities\"—some models excel at creative, open-ended tasks, while others are better suited for literal, high-precision work like accounting. This specialization means that developers will increasingly use multiple models within a single application to achieve optimal results.",[17,6953,6955],{"id":6954},"the-application-layer-as-the-productization-of-intelligence","The Application Layer as the Productization of Intelligence",[22,6957,6958],{},"Intelligence is a primitive, similar to cloud computing. Just as Salesforce built a business by turning AWS infrastructure into a tailored CRM, the current AI opportunity lies in the application layer. Successful companies are not just wrapping models; they are building \"product containers\" that solve specific economic problems for industries. For example, coding tools like Cursor or Replit package the same \"coding intelligence\" primitive in different ways to serve different user segments, from professional engineers to small business owners.",[17,6960,6962],{"id":6961},"the-persistence-of-traditional-moats","The Persistence of Traditional Moats",[22,6964,6965],{},"Contrary to the narrative that AI destroys competitive advantages, Acharya contends that traditional moats—network effects, distribution, and brand—remain as powerful as ever. An AI-powered app does not automatically make a company like Nike less valuable. The real risk is to \"integration moats,\" where legacy software providers relied on the complexity of their systems to lock in customers. Coding agents are effectively lowering the barrier to entry for migrating away from these complex systems, putting pressure on traditional SIs and GSIs.",[17,6967,6969],{"id":6968},"the-rise-of-autonomous-business-loops","The Rise of Autonomous Business Loops",[22,6971,6972],{},"We are moving from simple prompt-based interactions to \"models in loops.\" An agent is essentially a model with memory and tool access that can execute multi-step workflows. In software engineering, this means bugs can be reported, reproduced, fixed, and shipped autonomously. Acharya envisions this pattern extending to procurement, pricing, and eventually high-level business strategy, where AI identifies cross-cutting opportunities that a human might miss.",[17,6974,6976],{"id":6975},"consumer-ai-and-the-renaissance-of-builders","Consumer AI and the Renaissance of Builders",[22,6978,6979],{},"We are entering a new phase of consumer AI characterized by personal agents capable of resourcefulness. These agents can handle complex, multi-step tasks like shopping or managing inboxes. This shift is enabling a new generation of small businesses and \"luxury software\" products that provide high-value outcomes for consumers. The biggest risk for founders today is not over-ambition, but rather thinking too small about what these agents can actually accomplish.",{"title":62,"searchDepth":63,"depth":63,"links":6981},[6982,6983,6984,6985,6986],{"id":6947,"depth":63,"text":6948},{"id":6954,"depth":63,"text":6955},{"id":6961,"depth":63,"text":6962},{"id":6968,"depth":63,"text":6969},{"id":6975,"depth":63,"text":6976},[68],{"content_references":6989,"triage":7003},[6990,6995,6997,6999,7001],{"type":6991,"title":6992,"author":6993,"context":6994},"book","7 Powers: The Foundations of Business Strategy","Hamilton Helmer","recommended",{"type":75,"title":6996,"context":78},"GrokBot",{"type":75,"title":6998,"context":78},"Cursor",{"type":75,"title":7000,"context":78},"Harvey",{"type":75,"title":7002,"context":78},"Decagon",{"relevance":85,"novelty":86,"quality":85,"actionability":86,"composite":87,"reasoning":7004},"Category: AI & LLMs. The article discusses the evolving landscape of AI models and their application in product development, which directly addresses the audience's interest in AI-powered product building. It provides insights into how developers can leverage specialized models, though it lacks specific actionable steps for implementation.","\u002Fsummaries\u002Fa337a17ebad6679e-the-state-of-ai-models-moats-and-the-consumer-rena-summary","2026-08-26 14:30:27","2026-08-27 03:12:29",{"title":6937,"description":62},{"loc":7005},"a337a17ebad6679e","a16z (Andreessen Horowitz)","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=zEZ0rQ8Ef-Y","summaries\u002Fa337a17ebad6679e-the-state-of-ai-models-moats-and-the-consumer-rena-summary",[102,101,7016,103],"product-strategy","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FzEZ0rQ8Ef-Y\u002Fhqdefault.jpg","AI intelligence is a primitive, not a commodity. The future belongs to application builders who aggregate specialized models to solve industry-specific problems, leveraging traditional moats like brand and distribution while automating complex business loops.","This is a high-level venture capital discussion about the current state of the AI market, focusing on why traditional business moats like network effects and brand remain relevant despite the rapid evolution of models. The speakers argue that we are entering a \"many winners\" era for model providers and a new phase for consumer-facing agents, while cautioning that enterprise software remains a harder nut to crack due to high precision requirements.",[103],"fzI8wXL5z_lFjf8De6XA9jOCfJuwyJ9AAWoxKUe38U8",{"id":7023,"title":7024,"ai":7025,"body":7030,"categories":7103,"created_at":69,"date_modified":69,"description":62,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":7104,"navigation":89,"path":7113,"published_at":7114,"question":69,"scraped_at":7115,"seo":7116,"sitemap":7117,"source_id":7118,"source_name":7119,"source_type":7012,"source_url":7120,"stem":7121,"tags":7122,"thumbnail_url":7123,"tldr":7124,"tweet":7125,"unknown_tags":7126,"__hash__":7127},"summaries\u002Fsummaries\u002F4c132f9b7923b95b-building-vertical-ai-why-domain-expertise-beats-mo-summary.md","Building Vertical AI: Why Domain Expertise Beats Model Infrastructure",{"provider":7,"model":8,"input_tokens":7026,"output_tokens":7027,"processing_time_ms":7028,"cost_usd":7029},8171,651,3235,0.00301925,{"type":14,"value":7031,"toc":7098},[7032,7036,7039,7043,7046,7091,7095],[17,7033,7035],{"id":7034},"the-failure-of-model-first-vertical-ai","The Failure of 'Model-First' Vertical AI",[22,7037,7038],{},"Many vertical AI projects fail because engineers treat them like general-purpose software. While engineers can easily judge the quality of generated code, they lack the specialized intuition required to evaluate outputs in fields like finance or pharma. Attempting to use an LLM as a judge is a common mistake; models are statistical predictors that lack the causal understanding required to identify 'alpha' in finance or viable drug candidates in pharma. Because these industries intentionally withhold data to maintain competitive advantages, general-purpose models are fundamentally incapable of reasoning through these niche problems.",[17,7040,7042],{"id":7041},"the-seven-step-path-to-production","The Seven-Step Path to Production",[22,7044,7045],{},"To build vertical AI that actually delivers ROI, builders should follow a disciplined process:",[7047,7048,7049,7055,7061,7067,7073,7079,7085],"ol",{},[32,7050,7051,7054],{},[35,7052,7053],{},"Formulate a Narrow Problem:"," Avoid general-purpose agents. Define a specific, constrained task (e.g., ranking stocks by capital expenditure rather than 'finding market opportunities').",[32,7056,7057,7060],{},[35,7058,7059],{},"Curate Proprietary Data:"," Public data is a commodity. The real value lies in unstructured, internal data—such as failed experiments in pharma or historical trade theses in finance.",[32,7062,7063,7066],{},[35,7064,7065],{},"Model the Workflow:"," Encode the mental model of an expert into the prompt, breaking the task into logical, sequential steps.",[32,7068,7069,7072],{},[35,7070,7071],{},"Implement Observability:"," Use traces to debug performance. This is the 'easy' part that fits on one screen.",[32,7074,7075,7078],{},[35,7076,7077],{},"Hire the User:"," This is the critical pivot. You cannot iterate on what you cannot judge. Hiring a domain expert (e.g., a senior scientist or trader) is the only way to bridge the gap between a demo and a production-ready tool.",[32,7080,7081,7084],{},[35,7082,7083],{},"Build a Learning Loop:"," The expert curates sources, refines prompts, and performs error analysis. This loop generates a proprietary dataset of what works and what does not.",[32,7086,7087,7090],{},[35,7088,7089],{},"Ship for ROI:"," Only move to production when the tool demonstrably saves time or generates revenue.",[17,7092,7094],{"id":7093},"ai-in-the-loop-aitl","AI in the Loop (AITL)",[22,7096,7097],{},"Rather than 'Human-in-the-loop,' vertical AI should be viewed as 'AI-in-the-loop.' The expert remains the final decision-maker, while the AI acts as a high-speed assistant that filters candidates or synthesizes data. The moat is never the infrastructure or the model—both are commodities. The moat is the combination of domain-specific data and the expert judgment required to refine the system's performance over time.",{"title":62,"searchDepth":63,"depth":63,"links":7099},[7100,7101,7102],{"id":7034,"depth":63,"text":7035},{"id":7041,"depth":63,"text":7042},{"id":7093,"depth":63,"text":7094},[68],{"content_references":7105,"triage":7109},[7106],{"type":80,"title":7107,"author":7108,"context":83},"AI Index Report","Stanford University",{"relevance":7110,"novelty":85,"quality":85,"actionability":7110,"composite":7111,"reasoning":7112},5,4.55,"Category: Product Strategy. The article provides a structured approach to building vertical AI, addressing the pain point of needing domain expertise to ensure quality outputs. The seven-step path to production offers actionable steps that builders can implement immediately.","\u002Fsummaries\u002F4c132f9b7923b95b-building-vertical-ai-why-domain-expertise-beats-mo-summary","2026-08-19 17:00:31","2026-08-20 03:11:53",{"title":7024,"description":62},{"loc":7113},"4c132f9b7923b95b","AI Engineer","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=Yphdry8ttAQ","summaries\u002F4c132f9b7923b95b-building-vertical-ai-why-domain-expertise-beats-mo-summary",[101,102,7016,103],"https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FYphdry8ttAQ\u002Fhqdefault.jpg","Vertical AI projects often fail because engineers lack the domain expertise to judge output quality. The solution is to hire the end-user to build a learning loop, as proprietary data and expert judgment—not the model itself—are the only true moats.","This talk outlines a practical framework for building vertical AI by arguing that the model and infrastructure are commodities, while the real moat is domain-specific data and expert judgment. The speaker explains why engineers cannot effectively iterate on specialized tools without \"hiring the user\"—embedding a domain expert into the loop to curate data, sharpen prompts, and perform the error analysis that models cannot yet replicate.",[103],"qlzn3a2_6yqcAsQ4g7LZXzqQZWzSYF8p08McG-SjLN8",{"id":7129,"title":7130,"ai":7131,"body":7136,"categories":7253,"created_at":69,"date_modified":69,"description":62,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":7254,"navigation":89,"path":7272,"published_at":7273,"question":69,"scraped_at":7274,"seo":7275,"sitemap":7276,"source_id":7277,"source_name":7278,"source_type":7012,"source_url":7279,"stem":7280,"tags":7281,"thumbnail_url":7282,"tldr":7283,"tweet":7284,"unknown_tags":7285,"__hash__":7286},"summaries\u002Fsummaries\u002F1314eee67685913a-from-tokenmaxxing-to-tokenomics-scaling-ai-agents--summary.md","From Tokenmaxxing to Tokenomics: Scaling AI Agents Sustainably",{"provider":7,"model":8,"input_tokens":7132,"output_tokens":7133,"processing_time_ms":7134,"cost_usd":7135},10204,1225,6018,0.0043885,{"type":14,"value":7137,"toc":7245},[7138,7142,7145,7149,7152,7172,7176,7179,7183,7186,7190,7222,7226],[17,7139,7141],{"id":7140},"the-shift-from-tokenmaxxing-to-tokenomics","The Shift from Tokenmaxxing to Tokenomics",[22,7143,7144],{},"We have moved past the \"tokenmaxxing\" era—a period characterized by experimental, unchecked AI usage and leaderboard-driven consumption. This phase, while useful for exploration, led to massive budget overruns as companies discovered that infinite agentic loops are an expensive way to solve problems. We are now in the \"great token panic,\" where organizations are hitting hard caps on usage and questioning the ROI of their AI spend. J.R. Storment, head of the newly formed Tokenomics Foundation, argues that the industry must transition to a disciplined approach: Tokenomics, defined as the conversion of energy into intelligence and ultimately into business value.",[17,7146,7148],{"id":7147},"the-three-pillars-of-tokenomics","The Three Pillars of Tokenomics",[22,7150,7151],{},"To manage AI costs without stifling innovation, organizations must map their strategy across three critical pillars:",[7047,7153,7154,7160,7166],{},[32,7155,7156,7159],{},[35,7157,7158],{},"Production:"," This involves the supply chain of tokens, including data center infrastructure, edge computing (e.g., local processing on Mac Minis or mobile devices), and procured tokens from model providers. Efficiency here means optimizing where the compute happens.",[32,7161,7162,7165],{},[35,7163,7164],{},"Consumption:"," This is the operational layer. It includes programmatic model routing, aggressive caching (managing the KV cache), and prompt architecture. Pinterest’s \"five-layer cake\" model serves as a prime example, where efficiency is managed through tiered caching and intelligent model selection.",[32,7167,7168,7171],{},[35,7169,7170],{},"Value:"," The ultimate goal is shifting from seat-based pricing to usage-based models that reflect actual utility. Companies must move away from \"all-you-can-eat\" subscriptions and toward hybrid credit systems that align token consumption with revenue generation.",[17,7173,7175],{"id":7174},"the-challenge-of-agentic-loops","The Challenge of Agentic Loops",[22,7177,7178],{},"Agentic workflows have accelerated the \"token panic\" because agents do not tire. They create non-linear growth in token consumption through retries, sub-agent spawning, and recursive reasoning. While these loops can be powerful for complex tasks, they can also become \"bad loops\"—infinite retries on errors that drain budgets. Engineers must implement guardrails and observability to distinguish between productive agentic work and runaway consumption.",[17,7180,7182],{"id":7181},"the-future-of-resource-optimization","The Future of Resource Optimization",[22,7184,7185],{},"As global token projections move from trillions to quadrillions and eventually quintillions, the era of subsidized AI is ending. Hardware memory bottlenecks are becoming the primary constraint, making efficiency a competitive necessity. The Tokenomics Foundation aims to provide the common primitives and open-source standards—similar to the CNCF landscape for cloud-native computing—to help the industry align on how to measure and optimize AI value.",[17,7187,7189],{"id":7188},"key-takeaways","Key Takeaways",[29,7191,7192,7198,7204,7210,7216],{},[32,7193,7194,7197],{},[35,7195,7196],{},"Stop measuring success by token volume:"," High token usage is not a proxy for innovation; it is often a sign of inefficient loops or poor prompt architecture.",[32,7199,7200,7203],{},[35,7201,7202],{},"Implement guardrails early:"," Move away from \"unlimited\" budgets and establish hard caps or programmatic routing to prevent runaway agent costs.",[32,7205,7206,7209],{},[35,7207,7208],{},"Adopt a FinOps mindset for AI:"," Treat token consumption like cloud infrastructure spend—monitor, forecast, and optimize continuously.",[32,7211,7212,7215],{},[35,7213,7214],{},"Optimize for the context window:"," Use caching strategies (KV cache) to reduce redundant processing and lower latency.",[32,7217,7218,7221],{},[35,7219,7220],{},"Shift to usage-based value:"," Align your AI pricing models with the actual value delivered to the customer, rather than flat-rate seat licenses.",[17,7223,7225],{"id":7224},"notable-quotes","Notable Quotes",[29,7227,7228,7231,7234,7237],{},[32,7229,7230],{},"\"We recently lived through an era of token maxing, where developers competed to see who could spend the most tokens... turns out, an infinite loop was a pretty easy way to spend a whole bunch of money.\" — Luke Schlangen",[32,7232,7233],{},"\"If you tell everybody to be measured on smashed windows, you're going to have a lot of smashed windows.\" — J.R. Storment",[32,7235,7236],{},"\"Tokens are the unit of output coming from all this data center growth... they are the way the models think... and they are the way the models price.\" — J.R. Storment",[32,7238,7239,7240,7244],{},"\"If you don't say 'agent' in any talk right now, you're really not ",[7241,7242,7243],"span",{},"relevant",". They just yank you off the stage.\" — Luke Schlangen",{"title":62,"searchDepth":63,"depth":63,"links":7246},[7247,7248,7249,7250,7251,7252],{"id":7140,"depth":63,"text":7141},{"id":7147,"depth":63,"text":7148},{"id":7174,"depth":63,"text":7175},{"id":7181,"depth":63,"text":7182},{"id":7188,"depth":63,"text":7189},{"id":7224,"depth":63,"text":7225},[68],{"content_references":7255,"triage":7269},[7256,7259,7262,7266],{"type":75,"title":7257,"url":7258,"context":6994},"The Tokenomics Foundation","https:\u002F\u002Fgoo.gle\u002F4w4qnHd",{"type":75,"title":7260,"url":7261,"context":6994},"The FinOps Foundation","https:\u002F\u002Fgoo.gle\u002F3U3IeR0",{"type":7263,"title":7264,"url":7265,"context":6994},"other","The Five-Layer Cake of Tokenomics (Pinterest)","https:\u002F\u002Fgoo.gle\u002F44YEFy2",{"type":7263,"title":7267,"url":7268,"context":6994},"FOCUS Open Source Spec for Cloud Billing","https:\u002F\u002Fgoo.gle\u002F4vXdrmo",{"relevance":7110,"novelty":85,"quality":85,"actionability":85,"composite":7270,"reasoning":7271},4.35,"Category: AI & LLMs. The article discusses the transition from experimental AI usage to a structured approach called Tokenomics, addressing a key pain point for product builders regarding cost management and efficiency in AI deployment. It provides actionable insights on optimizing AI strategies through its three pillars, making it relevant and practical for the target audience.","\u002Fsummaries\u002F1314eee67685913a-from-tokenmaxxing-to-tokenomics-scaling-ai-agents-summary","2026-08-03 16:00:35","2026-08-04 03:10:01",{"title":7130,"description":62},{"loc":7272},"1314eee67685913a","Google Cloud Tech","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=6LQNHQ7-IcI","summaries\u002F1314eee67685913a-from-tokenmaxxing-to-tokenomics-scaling-ai-agents--summary",[101,102,7016,103],"https:\u002F\u002Fi.ytimg.com\u002Fvi\u002F6LQNHQ7-IcI\u002Fhqdefault.jpg","As AI usage shifts from experimental 'tokenmaxxing' to production-scale agentic loops, enterprises face a 'token panic.' The solution is Tokenomics: a new discipline focused on aligning energy consumption, model efficiency, and business value.","This is a high-level industry discussion about the launch of the [Tokenomics Foundation](https:\u002F\u002Fgoo.gle\u002F4w4qnHd), focusing on the need for standardized metrics to manage AI infrastructure costs. The conversation frames \"tokenomics\" as a bridge between FinOps and AI engineering, emphasizing that organizations must move beyond simple consumption tracking toward a framework that balances production costs, model efficiency, and measurable business value.",[103],"P-6-SWsFm-k0mCTvbBXfXHaUHkUG9QXil_NLopDZoaM",{"id":7288,"title":7289,"ai":7290,"body":7295,"categories":7364,"created_at":69,"date_modified":69,"description":62,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":7365,"navigation":89,"path":7382,"published_at":7383,"question":69,"scraped_at":7384,"seo":7385,"sitemap":7386,"source_id":7387,"source_name":7388,"source_type":7012,"source_url":7389,"stem":7390,"tags":7391,"thumbnail_url":7393,"tldr":7394,"tweet":7395,"unknown_tags":7396,"__hash__":7397},"summaries\u002Fsummaries\u002Fd658c610a5870590-the-asymmetric-economics-of-ai-security-summary.md","The Asymmetric Economics of AI Security",{"provider":7,"model":8,"input_tokens":7291,"output_tokens":7292,"processing_time_ms":7293,"cost_usd":7294},9913,942,4532,0.00389125,{"type":14,"value":7296,"toc":7358},[7297,7301,7304,7307,7311,7314,7317,7321,7324,7326],[17,7298,7300],{"id":7299},"the-economic-asymmetry-of-ai-security","The Economic Asymmetry of AI Security",[22,7302,7303],{},"The 2026 IBM Cost of a Data Breach Report highlights a critical shift: AI is no longer just a peripheral topic but the dominant factor in cybersecurity. The panel identified a growing economic disparity between attackers and defenders. Attackers are increasingly leveraging AI to lower the cost and effort of executing breaches, while defenders face higher costs and operational friction.",[22,7305,7306],{},"This friction is largely driven by the \"guardrail tax.\" Defenders are often restricted to corporate-approved, highly constrained models, which can hinder their ability to perform tasks like penetration testing or automated threat hunting. In contrast, malicious actors can utilize open-weight models without guardrails, allowing them to operate with fewer restrictions and higher efficiency. The panel noted that this creates a scenario where defenders are effectively fighting with one hand tied behind their backs.",[17,7308,7310],{"id":7309},"the-guardrail-tax-and-operational-friction","The \"Guardrail Tax\" and Operational Friction",[22,7312,7313],{},"A significant point of contention is how current safety guardrails impact legitimate development. Panelists shared personal experiences where AI coding assistants (like Claude Opus) would trigger false positives during security-hardening tasks, misinterpreting penetration testing as malicious activity. This leads to a cycle of \"downgrading\" or locking out developers, which discourages the use of powerful models for defensive security work.",[22,7315,7316],{},"There is a strong consensus that the industry needs to move toward policy-driven approaches. Rather than a one-size-fits-all safety policy, organizations need the ability to define tailored policies for specific, legitimate use cases. The current \"black box\" approach to model safety—where users are unaware of why a model is refusing a request—is becoming a bottleneck for professional engineering workflows.",[17,7318,7320],{"id":7319},"the-future-of-model-orchestration","The Future of Model Orchestration",[22,7322,7323],{},"The panel debated whether the ability to manually select models (e.g., choosing between a high-performance model and a cost-effective one) will persist. While power users currently enjoy the agency of selecting specific models, the panel predicted a shift toward automated orchestration. Similar to how modern cars handle gear shifting automatically, AI platforms will likely move toward non-transparent, automated model switching to optimize for cost, latency, and task complexity. While this benefits the general public, it may alienate power users who require granular control over their AI environment.",[17,7325,7189],{"id":7188},[29,7327,7328,7334,7340,7346,7352],{},[32,7329,7330,7333],{},[35,7331,7332],{},"Economic Imbalance:"," AI has created an asymmetric security landscape where the cost of launching an attack is decreasing, while the cost of effective defense is rising.",[32,7335,7336,7339],{},[35,7337,7338],{},"Guardrail Friction:"," Current safety guardrails often impede legitimate defensive work, such as security hardening and penetration testing, by misidentifying these tasks as malicious.",[32,7341,7342,7345],{},[35,7343,7344],{},"Policy-Driven Security:"," The industry must move away from generic safety policies toward context-aware, policy-driven AI that understands the intent of the user and the specific environment.",[32,7347,7348,7351],{},[35,7349,7350],{},"The Rise of Automated Orchestration:"," Expect a shift toward \"hidden\" model switching, where platforms automatically select the best model for a task to optimize for cost and performance, reducing user agency but increasing efficiency.",[32,7353,7354,7357],{},[35,7355,7356],{},"Identity and Access Management:"," As AI agents become first-class citizens in enterprise workflows, traditional security measures like identity management and encryption at rest remain the most effective ways to mitigate the risks of stochastic agent behavior.",{"title":62,"searchDepth":63,"depth":63,"links":7359},[7360,7361,7362,7363],{"id":7299,"depth":63,"text":7300},{"id":7309,"depth":63,"text":7310},{"id":7319,"depth":63,"text":7320},{"id":7188,"depth":63,"text":7189},[68],{"content_references":7366,"triage":7379},[7367,7372,7375,7377],{"type":80,"title":7368,"author":7369,"url":7370,"context":7371},"2026 Cost of a Data Breach Report","IBM","https:\u002F\u002Fibm.biz\u002F~rQKxmFpBi","reviewed",{"type":75,"title":7373,"author":7374,"context":78},"Claude Opus 5","Anthropic",{"type":75,"title":7376,"context":78},"Midjourney",{"type":75,"title":7378,"context":78},"Co-Star",{"relevance":85,"novelty":86,"quality":85,"actionability":63,"composite":7380,"reasoning":7381},3.4,"Category: Business & SaaS. The article discusses the economic implications of AI in cybersecurity, highlighting the imbalance between attackers and defenders, which is relevant to product builders in the SaaS space. However, while it presents some insights into the challenges faced by defenders, it lacks specific actionable strategies that the audience could implement.","\u002Fsummaries\u002Fd658c610a5870590-the-asymmetric-economics-of-ai-security-summary","2026-07-31 10:00:14","2026-08-01 03:12:45",{"title":7289,"description":62},{"loc":7382},"d658c610a5870590","IBM Technology","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=yb8Chvj--3c","summaries\u002Fd658c610a5870590-the-asymmetric-economics-of-ai-security-summary",[101,102,103,7392],"cybersecurity","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002Fyb8Chvj--3c\u002Fhqdefault.jpg","AI is lowering the cost of cyberattacks while increasing the cost of defense, creating an economic imbalance where attackers gain efficiency from unconstrained models while defenders struggle with guardrail-induced friction.","This podcast episode features a panel discussion centered on the [2026 Cost of a Data Breach Report](https:\u002F\u002Fibm.biz\u002F~rQKxmFpBi), focusing on how AI is shifting the economics of cybersecurity. The experts discuss the growing asymmetry between the low cost of AI-driven attacks and the high cost of defensive guardrails, while also touching on recent industry news like the release of Claude Opus 5 and the acquisition of Co-Star by Midjourney.",[103,7392],"uFcWTtVRXQKHfdk_RsrGqe2MwvtRIu_bKh1tIezVeM8"]