[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-357649c737150a2a-personality-prompting-in-multi-agent-teams-task-de-summary":3,"summaries-facets-categories":119,"summary-related-357649c737150a2a-personality-prompting-in-multi-agent-teams-task-de-summary":5693},{"id":4,"title":5,"ai":6,"body":13,"categories":84,"created_at":86,"date_modified":86,"description":78,"extension":87,"faq":86,"featured":88,"kicker_label":86,"meta":89,"navigation":102,"path":103,"published_at":104,"question":86,"scraped_at":104,"seo":105,"sitemap":106,"source_id":107,"source_name":108,"source_type":109,"source_url":95,"stem":110,"tags":111,"thumbnail_url":86,"tldr":116,"tweet":86,"unknown_tags":117,"__hash__":118},"summaries\u002Fsummaries\u002F357649c737150a2a-personality-prompting-in-multi-agent-teams-task-de-summary.md","Personality Prompting in Multi-Agent Teams: Task-Dependent Impact",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",5891,548,3497,0.00229475,{"type":14,"value":15,"toc":77},"minimark",[16,21,25,33,37,48,52,55],[17,18,20],"h2",{"id":19},"the-impact-of-personality-on-agentic-workflows","The Impact of Personality on Agentic Workflows",[22,23,24],"p",{},"Research indicates that while personality prompting—specifically manipulating traits like agreeableness—effectively shifts the communication style of LLM agents, its impact on objective performance is highly dependent on the nature of the task.",[22,26,27,28,32],{},"In structured, deterministic environments like ",[29,30,31],"strong",{},"coding tasks",", agents prompted with low agreeableness exhibit significant shifts in communication (e.g., more adversarial or blunt language) without negatively impacting milestone completion or code quality. In these domains, the model's underlying reasoning capabilities appear to override the stylistic constraints imposed by personality prompts.",[17,34,36],{"id":35},"when-personality-becomes-a-performance-bottleneck","When Personality Becomes a Performance Bottleneck",[22,38,39,40,43,44,47],{},"Conversely, in ",[29,41,42],{},"open-ended research collaboration"," and ",[29,45,46],{},"competitive bargaining",", personality manipulation is a critical performance variable. When agents are prompted to be less agreeable in these contexts, performance degrades substantially. This suggests that for tasks requiring high levels of social coordination, consensus-building, or negotiation, the \"personality\" of the agent is not merely cosmetic but a functional component of the system's success.",[17,49,51],{"id":50},"design-implications-for-multi-agent-systems","Design Implications for Multi-Agent Systems",[22,53,54],{},"These findings suggest that developers should not treat personality as a global configuration for multi-agent systems. Instead, personality-based prompting should be:",[56,57,58,65,71],"ul",{},[59,60,61,64],"li",{},[29,62,63],{},"Context-Aware:"," Apply cooperative personality traits to agents handling negotiation or collaborative brainstorming.",[59,66,67,70],{},[29,68,69],{},"Task-Isolated:"," Recognize that for technical, objective-driven tasks (like coding or data processing), personality constraints may introduce unnecessary communication overhead without providing any functional benefit.",[59,72,73,76],{},[29,74,75],{},"Evaluated via Domain:"," Performance benchmarks for agentic systems must include diverse task types to ensure that stylistic prompting does not inadvertently sabotage collaborative workflows.",{"title":78,"searchDepth":79,"depth":79,"links":80},"",2,[81,82,83],{"id":19,"depth":79,"text":20},{"id":35,"depth":79,"text":36},{"id":50,"depth":79,"text":51},[85],"Agents & Orchestration",null,"md",false,{"content_references":90,"triage":97},[91],{"type":92,"title":93,"author":94,"url":95,"context":96},"paper","When Does Personality Composition Matter for Multi-Agent LLM Teams?","Aryan Keluskar, Amrita Bhattacharjee, Huan Liu","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.27443","reviewed",{"relevance":98,"novelty":99,"quality":98,"actionability":99,"composite":100,"reasoning":101},4,3,3.6,"Category: Agents & Orchestration. The article discusses the impact of personality prompting on LLM agents, which directly relates to architectures and multi-agent systems. It provides insights into how personality affects performance in different task contexts, addressing a specific audience pain point regarding agent behavior in production systems.",true,"\u002Fsummaries\u002F357649c737150a2a-personality-prompting-in-multi-agent-teams-task-de-summary","2026-06-29 14:33:21",{"title":5,"description":78},{"loc":103},"357649c737150a2a","arXiv cs.AI","article","summaries\u002F357649c737150a2a-personality-prompting-in-multi-agent-teams-task-de-summary",[112,113,114,115],"agents","llm","architectures","benchmarks","Personality manipulation in LLM agents significantly alters communication style but only degrades task performance in open-ended or collaborative domains, while remaining largely neutral in structured coding tasks.",[],"khba6PHL-_BeKYoJyqhesmkiK9D7MqAS_PlkEMURIFk",[120,123,126,129,132,135,137,139,142,144,146,148,150,153,155,157,159,161,164,166,168,170,172,174,176,178,180,182,184,186,188,190,192,194,196,198,201,204,206,208,210,212,214,216,218,220,222,224,227,229,231,233,235,237,239,241,243,245,247,249,251,253,255,258,260,262,264,266,268,270,272,274,276,278,280,282,285,287,289,291,293,295,297,299,301,303,305,307,309,311,313,315,317,319,321,323,325,327,329,331,333,335,337,339,341,344,346,348,350,352,354,356,358,360,362,365,367,369,371,373,375,377,379,381,383,385,387,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,455,457,459,462,464,466,468,470,472,474,476,478,480,482,484,486,488,491,493,495,497,499,501,503,505,507,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,749,751,753,755,758,760,762,764,766,768,770,772,774,776,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4925,4927,4929,4931,4933,4935,4937,4939,4941,4943,4945,4947,4949,4951,4953,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,4999,5001,5003,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5029,5031,5033,5035,5037,5039,5041,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691],{"categories":121},[122],"Developer Productivity",{"categories":124},[125],"Business & SaaS",{"categories":127},[128],"AI & LLMs",{"categories":130},[131],"AI Automation",{"categories":133},[134],"Product Strategy",{"categories":136},[128],{"categories":138},[122],{"categories":140},[141],"Software Engineering",{"categories":143},[128],{"categories":145},[125],{"categories":147},[],{"categories":149},[128],{"categories":151},[152],"Inference & Serving",{"categories":154},[128],{"categories":156},[128],{"categories":158},[131],{"categories":160},[],{"categories":162},[163],"AI News & Trends",{"categories":165},[131],{"categories":167},[128],{"categories":169},[125],{"categories":171},[128],{"categories":173},[131],{"categories":175},[163],{"categories":177},[131],{"categories":179},[131],{"categories":181},[128],{"categories":183},[131],{"categories":185},[128],{"categories":187},[128],{"categories":189},[128],{"categories":191},[163],{"categories":193},[128],{"categories":195},[128],{"categories":197},[],{"categories":199},[200],"Design & Frontend",{"categories":202},[203],"Data Science & Visualization",{"categories":205},[163],{"categories":207},[128],{"categories":209},[128],{"categories":211},[],{"categories":213},[128],{"categories":215},[131],{"categories":217},[141],{"categories":219},[128],{"categories":221},[131],{"categories":223},[128],{"categories":225},[226],"Marketing & Growth",{"categories":228},[200],{"categories":230},[128],{"categories":232},[131],{"categories":234},[128],{"categories":236},[],{"categories":238},[],{"categories":240},[200],{"categories":242},[128],{"categories":244},[131],{"categories":246},[122],{"categories":248},[141],{"categories":250},[200],{"categories":252},[128],{"categories":254},[141],{"categories":256},[257],"DevOps & Cloud",{"categories":259},[131],{"categories":261},[134],{"categories":263},[163],{"categories":265},[128],{"categories":267},[],{"categories":269},[128],{"categories":271},[],{"categories":273},[131],{"categories":275},[141],{"categories":277},[],{"categories":279},[141],{"categories":281},[128],{"categories":283},[284],"Governance & Standards",{"categories":286},[125],{"categories":288},[],{"categories":290},[],{"categories":292},[128],{"categories":294},[128],{"categories":296},[131],{"categories":298},[128],{"categories":300},[128],{"categories":302},[131],{"categories":304},[128],{"categories":306},[128],{"categories":308},[128],{"categories":310},[],{"categories":312},[141],{"categories":314},[],{"categories":316},[],{"categories":318},[141],{"categories":320},[],{"categories":322},[141],{"categories":324},[128],{"categories":326},[128],{"categories":328},[226],{"categories":330},[128],{"categories":332},[200],{"categories":334},[200],{"categories":336},[128],{"categories":338},[141],{"categories":340},[131],{"categories":342},[343],"GovTech & Public-Sector Adoption",{"categories":345},[141],{"categories":347},[128],{"categories":349},[128],{"categories":351},[131],{"categories":353},[131],{"categories":355},[203],{"categories":357},[128],{"categories":359},[163],{"categories":361},[131],{"categories":363},[364],"Legal AI Tools",{"categories":366},[131],{"categories":368},[226],{"categories":370},[131],{"categories":372},[134],{"categories":374},[141],{"categories":376},[343],{"categories":378},[],{"categories":380},[131],{"categories":382},[],{"categories":384},[131],{"categories":386},[131],{"categories":388},[389],"RAG & Retrieval",{"categories":391},[125],{"categories":393},[128],{"categories":395},[141],{"categories":397},[257],{"categories":399},[200],{"categories":401},[128],{"categories":403},[],{"categories":405},[85],{"categories":407},[141],{"categories":409},[128],{"categories":411},[],{"categories":413},[131],{"categories":415},[125],{"categories":417},[],{"categories":419},[128],{"categories":421},[],{"categories":423},[122],{"categories":425},[141],{"categories":427},[125],{"categories":429},[128],{"categories":431},[128],{"categories":433},[163],{"categories":435},[128],{"categories":437},[],{"categories":439},[128],{"categories":441},[],{"categories":443},[141],{"categories":445},[203],{"categories":447},[],{"categories":449},[128],{"categories":451},[200],{"categories":453},[454],"Models & Frontier Labs",{"categories":456},[],{"categories":458},[200],{"categories":460},[461],"Regulation & Governance of AI",{"categories":463},[131],{"categories":465},[],{"categories":467},[128],{"categories":469},[128],{"categories":471},[131],{"categories":473},[163],{"categories":475},[125],{"categories":477},[128],{"categories":479},[],{"categories":481},[141],{"categories":483},[131],{"categories":485},[128],{"categories":487},[134],{"categories":489},[490],"AI Policy & Regulation",{"categories":492},[],{"categories":494},[128],{"categories":496},[134],{"categories":498},[131],{"categories":500},[128],{"categories":502},[131],{"categories":504},[],{"categories":506},[203],{"categories":508},[509],"Evals & Reliability",{"categories":511},[128],{"categories":513},[],{"categories":515},[122],{"categories":517},[343],{"categories":519},[490],{"categories":521},[128],{"categories":523},[125],{"categories":525},[128],{"categories":527},[131],{"categories":529},[128],{"categories":531},[131],{"categories":533},[85],{"categories":535},[128],{"categories":537},[141],{"categories":539},[128],{"categories":541},[],{"categories":543},[],{"categories":545},[128],{"categories":547},[343],{"categories":549},[128],{"categories":551},[128],{"categories":553},[],{"categories":555},[200],{"categories":557},[],{"categories":559},[128],{"categories":561},[],{"categories":563},[131],{"categories":565},[128],{"categories":567},[200],{"categories":569},[],{"categories":571},[128],{"categories":573},[131],{"categories":575},[128],{"categories":577},[125],{"categories":579},[131],{"categories":581},[128],{"categories":583},[128],{"categories":585},[141],{"categories":587},[200],{"categories":589},[131],{"categories":591},[],{"categories":593},[141],{"categories":595},[131],{"categories":597},[],{"categories":599},[163],{"categories":601},[],{"categories":603},[128],{"categories":605},[128],{"categories":607},[125,226],{"categories":609},[],{"categories":611},[128],{"categories":613},[128],{"categories":615},[131],{"categories":617},[],{"categories":619},[],{"categories":621},[128],{"categories":623},[200],{"categories":625},[128],{"categories":627},[],{"categories":629},[128],{"categories":631},[257],{"categories":633},[],{"categories":635},[131],{"categories":637},[163],{"categories":639},[128],{"categories":641},[200],{"categories":643},[],{"categories":645},[163],{"categories":647},[128],{"categories":649},[152],{"categories":651},[128],{"categories":653},[131],{"categories":655},[163],{"categories":657},[454],{"categories":659},[128],{"categories":661},[226],{"categories":663},[],{"categories":665},[131],{"categories":667},[125],{"categories":669},[141],{"categories":671},[128],{"categories":673},[131],{"categories":675},[],{"categories":677},[128,257],{"categories":679},[128],{"categories":681},[128],{"categories":683},[128],{"categories":685},[131],{"categories":687},[128,141],{"categories":689},[203],{"categories":691},[128],{"categories":693},[128],{"categories":695},[141],{"categories":697},[131],{"categories":699},[490],{"categories":701},[226],{"categories":703},[128],{"categories":705},[131],{"categories":707},[128],{"categories":709},[128],{"categories":711},[131],{"categories":713},[],{"categories":715},[128],{"categories":717},[131],{"categories":719},[128],{"categories":721},[128,125],{"categories":723},[125],{"categories":725},[],{"categories":727},[200],{"categories":729},[200],{"categories":731},[128],{"categories":733},[],{"categories":735},[],{"categories":737},[163],{"categories":739},[],{"categories":741},[122],{"categories":743},[128],{"categories":745},[141],{"categories":747},[748],"Generative UI & Design-to-Code",{"categories":750},[128],{"categories":752},[200],{"categories":754},[128],{"categories":756},[757],"Algorithmic Accountability",{"categories":759},[131],{"categories":761},[141],{"categories":763},[163],{"categories":765},[200],{"categories":767},[],{"categories":769},[128],{"categories":771},[128],{"categories":773},[128],{"categories":775},[131],{"categories":777},[778],"MLOps & Infrastructure",{"categories":780},[128],{"categories":782},[128],{"categories":784},[128],{"categories":786},[128],{"categories":788},[163],{"categories":790},[122],{"categories":792},[128],{"categories":794},[131],{"categories":796},[257],{"categories":798},[128],{"categories":800},[200],{"categories":802},[128],{"categories":804},[131],{"categories":806},[],{"categories":808},[],{"categories":810},[152],{"categories":812},[200],{"categories":814},[163],{"categories":816},[203],{"categories":818},[],{"categories":820},[128],{"categories":822},[128],{"categories":824},[125],{"categories":826},[128],{"categories":828},[128],{"categories":830},[128],{"categories":832},[163],{"categories":834},[152],{"categories":836},[128],{"categories":838},[200],{"categories":840},[],{"categories":842},[131],{"categories":844},[141],{"categories":846},[],{"categories":848},[128],{"categories":850},[128],{"categories":852},[131],{"categories":854},[141],{"categories":856},[128],{"categories":858},[203],{"categories":860},[],{"categories":862},[128],{"categories":864},[],{"categories":866},[128],{"categories":868},[],{"categories":870},[134],{"categories":872},[125],{"categories":874},[131],{"categories":876},[131],{"categories":878},[],{"categories":880},[122],{"categories":882},[128],{"categories":884},[125],{"categories":886},[163],{"categories":888},[122],{"categories":890},[],{"categories":892},[128],{"categories":894},[],{"categories":896},[],{"categories":898},[163],{"categories":900},[163],{"categories":902},[],{"categories":904},[85],{"categories":906},[128],{"categories":908},[200],{"categories":910},[141],{"categories":912},[],{"categories":914},[364],{"categories":916},[125],{"categories":918},[],{"categories":920},[],{"categories":922},[122],{"categories":924},[203],{"categories":926},[],{"categories":928},[226],{"categories":930},[131],{"categories":932},[125],{"categories":934},[131],{"categories":936},[125],{"categories":938},[141],{"categories":940},[],{"categories":942},[152],{"categories":944},[134],{"categories":946},[128],{"categories":948},[200],{"categories":950},[141],{"categories":952},[125],{"categories":954},[128],{"categories":956},[131],{"categories":958},[125],{"categories":960},[128],{"categories":962},[128],{"categories":964},[],{"categories":966},[],{"categories":968},[141],{"categories":970},[203],{"categories":972},[134],{"categories":974},[128],{"categories":976},[131],{"categories":978},[128],{"categories":980},[],{"categories":982},[163],{"categories":984},[134],{"categories":986},[128],{"categories":988},[509],{"categories":990},[257],{"categories":992},[],{"categories":994},[131],{"categories":996},[],{"categories":998},[122],{"categories":1000},[],{"categories":1002},[128],{"categories":1004},[128],{"categories":1006},[200],{"categories":1008},[226],{"categories":1010},[141],{"categories":1012},[131],{"categories":1014},[],{"categories":1016},[141],{"categories":1018},[122],{"categories":1020},[],{"categories":1022},[163],{"categories":1024},[128,257],{"categories":1026},[1027],"Design Systems for AI",{"categories":1029},[128],{"categories":1031},[163],{"categories":1033},[128],{"categories":1035},[128],{"categories":1037},[125],{"categories":1039},[128],{"categories":1041},[],{"categories":1043},[128],{"categories":1045},[128],{"categories":1047},[125],{"categories":1049},[128],{"categories":1051},[],{"categories":1053},[131],{"categories":1055},[141],{"categories":1057},[141],{"categories":1059},[200],{"categories":1061},[163],{"categories":1063},[203],{"categories":1065},[128],{"categories":1067},[122],{"categories":1069},[490],{"categories":1071},[128],{"categories":1073},[131],{"categories":1075},[128],{"categories":1077},[141],{"categories":1079},[141],{"categories":1081},[],{"categories":1083},[],{"categories":1085},[131],{"categories":1087},[134],{"categories":1089},[],{"categories":1091},[128],{"categories":1093},[],{"categories":1095},[200],{"categories":1097},[131],{"categories":1099},[141],{"categories":1101},[200],{"categories":1103},[128],{"categories":1105},[200],{"categories":1107},[],{"categories":1109},[],{"categories":1111},[163],{"categories":1113},[131],{"categories":1115},[131],{"categories":1117},[128],{"categories":1119},[128],{"categories":1121},[128],{"categories":1123},[125],{"categories":1125},[128],{"categories":1127},[128],{"categories":1129},[],{"categories":1131},[141],{"categories":1133},[141],{"categories":1135},[128],{"categories":1137},[141],{"categories":1139},[125],{"categories":1141},[],{"categories":1143},[128],{"categories":1145},[128],{"categories":1147},[128],{"categories":1149},[131],{"categories":1151},[122],{"categories":1153},[125],{"categories":1155},[163],{"categories":1157},[131],{"categories":1159},[152],{"categories":1161},[226],{"categories":1163},[128],{"categories":1165},[131],{"categories":1167},[],{"categories":1169},[200],{"categories":1171},[],{"categories":1173},[128],{"categories":1175},[128],{"categories":1177},[],{"categories":1179},[141],{"categories":1181},[125],{"categories":1183},[1184],"Visual & Generative Media",{"categories":1186},[131],{"categories":1188},[],{"categories":1190},[128],{"categories":1192},[128],{"categories":1194},[257],{"categories":1196},[203],{"categories":1198},[490],{"categories":1200},[141],{"categories":1202},[226],{"categories":1204},[128],{"categories":1206},[200],{"categories":1208},[128],{"categories":1210},[141],{"categories":1212},[131],{"categories":1214},[],{"categories":1216},[],{"categories":1218},[131],{"categories":1220},[122],{"categories":1222},[131],{"categories":1224},[454],{"categories":1226},[128],{"categories":1228},[134],{"categories":1230},[125],{"categories":1232},[],{"categories":1234},[128],{"categories":1236},[134],{"categories":1238},[128],{"categories":1240},[128],{"categories":1242},[128],{"categories":1244},[128],{"categories":1246},[128],{"categories":1248},[226],{"categories":1250},[128],{"categories":1252},[85],{"categories":1254},[128],{"categories":1256},[128],{"categories":1258},[128],{"categories":1260},[128],{"categories":1262},[128],{"categories":1264},[200],{"categories":1266},[131],{"categories":1268},[],{"categories":1270},[131],{"categories":1272},[],{"categories":1274},[257],{"categories":1276},[141],{"categories":1278},[],{"categories":1280},[454],{"categories":1282},[131],{"categories":1284},[128],{"categories":1286},[200,128],{"categories":1288},[122],{"categories":1290},[],{"categories":1292},[128],{"categories":1294},[122],{"categories":1296},[1297],"Medical Imaging & Radiology",{"categories":1299},[200],{"categories":1301},[131],{"categories":1303},[141],{"categories":1305},[],{"categories":1307},[128],{"categories":1309},[128],{"categories":1311},[128],{"categories":1313},[],{"categories":1315},[],{"categories":1317},[128],{"categories":1319},[85],{"categories":1321},[128],{"categories":1323},[122],{"categories":1325},[128],{"categories":1327},[128],{"categories":1329},[],{"categories":1331},[131],{"categories":1333},[128],{"categories":1335},[134],{"categories":1337},[141],{"categories":1339},[128],{"categories":1341},[85],{"categories":1343},[128],{"categories":1345},[131],{"categories":1347},[128],{"categories":1349},[200],{"categories":1351},[131],{"categories":1353},[257],{"categories":1355},[200],{"categories":1357},[125],{"categories":1359},[131],{"categories":1361},[128],{"categories":1363},[128],{"categories":1365},[128],{"categories":1367},[128],{"categories":1369},[128],{"categories":1371},[131],{"categories":1373},[141],{"categories":1375},[128],{"categories":1377},[134],{"categories":1379},[],{"categories":1381},[163],{"categories":1383},[],{"categories":1385},[134],{"categories":1387},[131],{"categories":1389},[1027],{"categories":1391},[1027],{"categories":1393},[200],{"categories":1395},[128],{"categories":1397},[128],{"categories":1399},[131],{"categories":1401},[141],{"categories":1403},[200],{"categories":1405},[131],{"categories":1407},[163],{"categories":1409},[],{"categories":1411},[128],{"categories":1413},[],{"categories":1415},[128],{"categories":1417},[128],{"categories":1419},[128],{"categories":1421},[1422],"Contract Review & E-Discovery",{"categories":1424},[200],{"categories":1426},[128],{"categories":1428},[122],{"categories":1430},[163],{"categories":1432},[128],{"categories":1434},[128],{"categories":1436},[226],{"categories":1438},[141],{"categories":1440},[128],{"categories":1442},[128],{"categories":1444},[131],{"categories":1446},[131],{"categories":1448},[757],{"categories":1450},[131],{"categories":1452},[131],{"categories":1454},[128],{"categories":1456},[128],{"categories":1458},[131],{"categories":1460},[128],{"categories":1462},[85],{"categories":1464},[389],{"categories":1466},[128],{"categories":1468},[131],{"categories":1470},[128],{"categories":1472},[1473],"Law-Firm Practice & Adoption",{"categories":1475},[128],{"categories":1477},[131],{"categories":1479},[200],{"categories":1481},[128],{"categories":1483},[128],{"categories":1485},[],{"categories":1487},[],{"categories":1489},[141],{"categories":1491},[],{"categories":1493},[122],{"categories":1495},[257],{"categories":1497},[128],{"categories":1499},[],{"categories":1501},[122],{"categories":1503},[125],{"categories":1505},[128],{"categories":1507},[226],{"categories":1509},[],{"categories":1511},[125],{"categories":1513},[125],{"categories":1515},[],{"categories":1517},[128],{"categories":1519},[128],{"categories":1521},[141],{"categories":1523},[],{"categories":1525},[],{"categories":1527},[],{"categories":1529},[],{"categories":1531},[128],{"categories":1533},[131],{"categories":1535},[257],{"categories":1537},[128],{"categories":1539},[122],{"categories":1541},[141],{"categories":1543},[128],{"categories":1545},[128],{"categories":1547},[141],{"categories":1549},[134],{"categories":1551},[128],{"categories":1553},[778],{"categories":1555},[128],{"categories":1557},[226],{"categories":1559},[141],{"categories":1561},[125],{"categories":1563},[128],{"categories":1565},[128],{"categories":1567},[200],{"categories":1569},[128],{"categories":1571},[128],{"categories":1573},[128],{"categories":1575},[131],{"categories":1577},[128,122],{"categories":1579},[85],{"categories":1581},[128],{"categories":1583},[141],{"categories":1585},[141],{"categories":1587},[200],{"categories":1589},[131],{"categories":1591},[141],{"categories":1593},[128],{"categories":1595},[128],{"categories":1597},[],{"categories":1599},[],{"categories":1601},[128],{"categories":1603},[],{"categories":1605},[128],{"categories":1607},[141],{"categories":1609},[203],{"categories":1611},[163],{"categories":1613},[200],{"categories":1615},[128],{"categories":1617},[141],{"categories":1619},[],{"categories":1621},[131],{"categories":1623},[128],{"categories":1625},[128],{"categories":1627},[128],{"categories":1629},[128],{"categories":1631},[],{"categories":1633},[131],{"categories":1635},[128],{"categories":1637},[128],{"categories":1639},[],{"categories":1641},[131],{"categories":1643},[128],{"categories":1645},[128],{"categories":1647},[125],{"categories":1649},[128],{"categories":1651},[],{"categories":1653},[122],{"categories":1655},[128],{"categories":1657},[200],{"categories":1659},[141],{"categories":1661},[128],{"categories":1663},[122],{"categories":1665},[128],{"categories":1667},[141],{"categories":1669},[226],{"categories":1671},[131],{"categories":1673},[131],{"categories":1675},[128,200],{"categories":1677},[128],{"categories":1679},[163],{"categories":1681},[128],{"categories":1683},[163],{"categories":1685},[131],{"categories":1687},[200],{"categories":1689},[],{"categories":1691},[141],{"categories":1693},[257],{"categories":1695},[200],{"categories":1697},[141],{"categories":1699},[128],{"categories":1701},[134],{"categories":1703},[128],{"categories":1705},[131],{"categories":1707},[],{"categories":1709},[],{"categories":1711},[128],{"categories":1713},[],{"categories":1715},[],{"categories":1717},[134],{"categories":1719},[141],{"categories":1721},[128],{"categories":1723},[131],{"categories":1725},[131],{"categories":1727},[125],{"categories":1729},[131],{"categories":1731},[257],{"categories":1733},[128],{"categories":1735},[128],{"categories":1737},[152],{"categories":1739},[128],{"categories":1741},[128],{"categories":1743},[131],{"categories":1745},[128],{"categories":1747},[128],{"categories":1749},[364],{"categories":1751},[757],{"categories":1753},[],{"categories":1755},[200],{"categories":1757},[1473],{"categories":1759},[141],{"categories":1761},[],{"categories":1763},[],{"categories":1765},[131],{"categories":1767},[],{"categories":1769},[],{"categories":1771},[226],{"categories":1773},[226],{"categories":1775},[131],{"categories":1777},[141],{"categories":1779},[],{"categories":1781},[128],{"categories":1783},[128],{"categories":1785},[141],{"categories":1787},[1422],{"categories":1789},[200],{"categories":1791},[200],{"categories":1793},[128],{"categories":1795},[131],{"categories":1797},[122],{"categories":1799},[128],{"categories":1801},[128],{"categories":1803},[200],{"categories":1805},[200],{"categories":1807},[131],{"categories":1809},[131],{"categories":1811},[128],{"categories":1813},[],{"categories":1815},[128],{"categories":1817},[],{"categories":1819},[1820],"Interaction & Product Design",{"categories":1822},[128],{"categories":1824},[131],{"categories":1826},[284],{"categories":1828},[163],{"categories":1830},[141],{"categories":1832},[128],{"categories":1834},[128],{"categories":1836},[141],{"categories":1838},[122],{"categories":1840},[128],{"categories":1842},[],{"categories":1844},[131],{"categories":1846},[131],{"categories":1848},[],{"categories":1850},[141],{"categories":1852},[128],{"categories":1854},[122],{"categories":1856},[1820],{"categories":1858},[128],{"categories":1860},[122],{"categories":1862},[122],{"categories":1864},[],{"categories":1866},[141],{"categories":1868},[],{"categories":1870},[131],{"categories":1872},[163],{"categories":1874},[128],{"categories":1876},[131],{"categories":1878},[128],{"categories":1880},[131],{"categories":1882},[128],{"categories":1884},[163],{"categories":1886},[203],{"categories":1888},[128],{"categories":1890},[134],{"categories":1892},[141],{"categories":1894},[1895],"Coding Agents & Dev Productivity",{"categories":1897},[163],{"categories":1899},[200],{"categories":1901},[],{"categories":1903},[128],{"categories":1905},[757],{"categories":1907},[],{"categories":1909},[128],{"categories":1911},[128],{"categories":1913},[163],{"categories":1915},[],{"categories":1917},[],{"categories":1919},[128],{"categories":1921},[],{"categories":1923},[131],{"categories":1925},[128],{"categories":1927},[],{"categories":1929},[141],{"categories":1931},[141],{"categories":1933},[128],{"categories":1935},[203],{"categories":1937},[],{"categories":1939},[128],{"categories":1941},[128],{"categories":1943},[128],{"categories":1945},[203],{"categories":1947},[141],{"categories":1949},[],{"categories":1951},[],{"categories":1953},[131],{"categories":1955},[131],{"categories":1957},[343],{"categories":1959},[141],{"categories":1961},[141],{"categories":1963},[131],{"categories":1965},[163],{"categories":1967},[163],{"categories":1969},[131],{"categories":1971},[131],{"categories":1973},[128],{"categories":1975},[122],{"categories":1977},[1820],{"categories":1979},[128,257],{"categories":1981},[],{"categories":1983},[200],{"categories":1985},[141],{"categories":1987},[122],{"categories":1989},[128],{"categories":1991},[131],{"categories":1993},[1994],"The Designer's Role & Craft",{"categories":1996},[200],{"categories":1998},[],{"categories":2000},[131],{"categories":2002},[128],{"categories":2004},[131],{"categories":2006},[131],{"categories":2008},[128],{"categories":2010},[226],{"categories":2012},[128],{"categories":2014},[141],{"categories":2016},[200],{"categories":2018},[128],{"categories":2020},[],{"categories":2022},[131],{"categories":2024},[200],{"categories":2026},[128],{"categories":2028},[128],{"categories":2030},[2031],"AI UX Patterns",{"categories":2033},[131],{"categories":2035},[131],{"categories":2037},[131],{"categories":2039},[131],{"categories":2041},[226],{"categories":2043},[203],{"categories":2045},[128],{"categories":2047},[131],{"categories":2049},[128],{"categories":2051},[1027],{"categories":2053},[],{"categories":2055},[226],{"categories":2057},[163],{"categories":2059},[141],{"categories":2061},[128],{"categories":2063},[131],{"categories":2065},[],{"categories":2067},[],{"categories":2069},[128],{"categories":2071},[131],{"categories":2073},[128],{"categories":2075},[131],{"categories":2077},[343],{"categories":2079},[200],{"categories":2081},[163],{"categories":2083},[141],{"categories":2085},[128],{"categories":2087},[131],{"categories":2089},[131],{"categories":2091},[],{"categories":2093},[128],{"categories":2095},[],{"categories":2097},[],{"categories":2099},[128],{"categories":2101},[128],{"categories":2103},[131],{"categories":2105},[141],{"categories":2107},[],{"categories":2109},[],{"categories":2111},[203],{"categories":2113},[152],{"categories":2115},[128],{"categories":2117},[203],{"categories":2119},[163],{"categories":2121},[128],{"categories":2123},[128],{"categories":2125},[131],{"categories":2127},[131],{"categories":2129},[128],{"categories":2131},[131],{"categories":2133},[],{"categories":2135},[],{"categories":2137},[128],{"categories":2139},[257],{"categories":2141},[128],{"categories":2143},[],{"categories":2145},[],{"categories":2147},[200],{"categories":2149},[778],{"categories":2151},[131],{"categories":2153},[122],{"categories":2155},[1994],{"categories":2157},[],{"categories":2159},[],{"categories":2161},[128],{"categories":2163},[],{"categories":2165},[],{"categories":2167},[141],{"categories":2169},[163],{"categories":2171},[226],{"categories":2173},[125],{"categories":2175},[128],{"categories":2177},[128],{"categories":2179},[125],{"categories":2181},[],{"categories":2183},[200],{"categories":2185},[128],{"categories":2187},[131],{"categories":2189},[125],{"categories":2191},[128],{"categories":2193},[128],{"categories":2195},[122],{"categories":2197},[128],{"categories":2199},[],{"categories":2201},[122],{"categories":2203},[128],{"categories":2205},[226],{"categories":2207},[131],{"categories":2209},[163],{"categories":2211},[128],{"categories":2213},[125],{"categories":2215},[128],{"categories":2217},[128],{"categories":2219},[128],{"categories":2221},[131],{"categories":2223},[],{"categories":2225},[128],{"categories":2227},[141],{"categories":2229},[122],{"categories":2231},[128],{"categories":2233},[128],{"categories":2235},[],{"categories":2237},[85],{"categories":2239},[163],{"categories":2241},[128],{"categories":2243},[128],{"categories":2245},[],{"categories":2247},[125],{"categories":2249},[125],{"categories":2251},[128],{"categories":2253},[128],{"categories":2255},[134],{"categories":2257},[128],{"categories":2259},[128],{"categories":2261},[141],{"categories":2263},[141],{"categories":2265},[128],{"categories":2267},[],{"categories":2269},[141],{"categories":2271},[128],{"categories":2273},[141],{"categories":2275},[490],{"categories":2277},[],{"categories":2279},[],{"categories":2281},[128],{"categories":2283},[163],{"categories":2285},[],{"categories":2287},[257],{"categories":2289},[128],{"categories":2291},[128],{"categories":2293},[200],{"categories":2295},[748],{"categories":2297},[],{"categories":2299},[128],{"categories":2301},[128],{"categories":2303},[141],{"categories":2305},[128],{"categories":2307},[128],{"categories":2309},[128,257],{"categories":2311},[128],{"categories":2313},[128],{"categories":2315},[200],{"categories":2317},[131],{"categories":2319},[],{"categories":2321},[131],{"categories":2323},[131],{"categories":2325},[128],{"categories":2327},[128],{"categories":2329},[128],{"categories":2331},[203],{"categories":2333},[128],{"categories":2335},[2031],{"categories":2337},[122],{"categories":2339},[203],{"categories":2341},[122],{"categories":2343},[141],{"categories":2345},[200],{"categories":2347},[131],{"categories":2349},[128],{"categories":2351},[],{"categories":2353},[128],{"categories":2355},[163],{"categories":2357},[128],{"categories":2359},[131],{"categories":2361},[128],{"categories":2363},[128],{"categories":2365},[125],{"categories":2367},[],{"categories":2369},[257],{"categories":2371},[128],{"categories":2373},[343],{"categories":2375},[200],{"categories":2377},[200],{"categories":2379},[141],{"categories":2381},[131],{"categories":2383},[128],{"categories":2385},[125],{"categories":2387},[163],{"categories":2389},[128],{"categories":2391},[200],{"categories":2393},[131],{"categories":2395},[128],{"categories":2397},[128],{"categories":2399},[454],{"categories":2401},[],{"categories":2403},[128],{"categories":2405},[128],{"categories":2407},[128],{"categories":2409},[],{"categories":2411},[],{"categories":2413},[128],{"categories":2415},[128],{"categories":2417},[128],{"categories":2419},[128],{"categories":2421},[141],{"categories":2423},[128],{"categories":2425},[128],{"categories":2427},[131],{"categories":2429},[128],{"categories":2431},[128],{"categories":2433},[128],{"categories":2435},[128],{"categories":2437},[],{"categories":2439},[141],{"categories":2441},[203],{"categories":2443},[128],{"categories":2445},[131],{"categories":2447},[128],{"categories":2449},[],{"categories":2451},[],{"categories":2453},[128],{"categories":2455},[128],{"categories":2457},[128],{"categories":2459},[163],{"categories":2461},[],{"categories":2463},[128],{"categories":2465},[200],{"categories":2467},[128],{"categories":2469},[257],{"categories":2471},[1473],{"categories":2473},[163],{"categories":2475},[141],{"categories":2477},[141],{"categories":2479},[141],{"categories":2481},[163],{"categories":2483},[163],{"categories":2485},[257],{"categories":2487},[],{"categories":2489},[163],{"categories":2491},[128],{"categories":2493},[122],{"categories":2495},[141],{"categories":2497},[128],{"categories":2499},[163],{"categories":2501},[],{"categories":2503},[128],{"categories":2505},[141],{"categories":2507},[203],{"categories":2509},[128],{"categories":2511},[163],{"categories":2513},[128],{"categories":2515},[141],{"categories":2517},[131],{"categories":2519},[163],{"categories":2521},[131],{"categories":2523},[257],{"categories":2525},[131],{"categories":2527},[128],{"categories":2529},[128],{"categories":2531},[141],{"categories":2533},[128],{"categories":2535},[],{"categories":2537},[125],{"categories":2539},[141],{"categories":2541},[],{"categories":2543},[],{"categories":2545},[128],{"categories":2547},[131],{"categories":2549},[128],{"categories":2551},[2552],"Frameworks & Tooling",{"categories":2554},[128],{"categories":2556},[128],{"categories":2558},[141],{"categories":2560},[128],{"categories":2562},[128],{"categories":2564},[],{"categories":2566},[203],{"categories":2568},[203],{"categories":2570},[122],{"categories":2572},[131],{"categories":2574},[200],{"categories":2576},[],{"categories":2578},[1473],{"categories":2580},[128],{"categories":2582},[141],{"categories":2584},[128],{"categories":2586},[257],{"categories":2588},[257],{"categories":2590},[],{"categories":2592},[131],{"categories":2594},[163],{"categories":2596},[163],{"categories":2598},[128],{"categories":2600},[131],{"categories":2602},[],{"categories":2604},[200],{"categories":2606},[128],{"categories":2608},[128],{"categories":2610},[],{"categories":2612},[128],{"categories":2614},[],{"categories":2616},[141],{"categories":2618},[128],{"categories":2620},[141],{"categories":2622},[257],{"categories":2624},[128],{"categories":2626},[141],{"categories":2628},[125],{"categories":2630},[128],{"categories":2632},[1473],{"categories":2634},[],{"categories":2636},[131],{"categories":2638},[122],{"categories":2640},[122],{"categories":2642},[],{"categories":2644},[131],{"categories":2646},[128],{"categories":2648},[2649],"AI Design Tooling",{"categories":2651},[200],{"categories":2653},[128],{"categories":2655},[128],{"categories":2657},[141],{"categories":2659},[200],{"categories":2661},[128],{"categories":2663},[141],{"categories":2665},[163],{"categories":2667},[134],{"categories":2669},[141],{"categories":2671},[131],{"categories":2673},[],{"categories":2675},[128],{"categories":2677},[128],{"categories":2679},[131],{"categories":2681},[128],{"categories":2683},[128],{"categories":2685},[],{"categories":2687},[131],{"categories":2689},[2552],{"categories":2691},[128],{"categories":2693},[131],{"categories":2695},[131],{"categories":2697},[141],{"categories":2699},[141],{"categories":2701},[],{"categories":2703},[141],{"categories":2705},[128],{"categories":2707},[128],{"categories":2709},[131],{"categories":2711},[125],{"categories":2713},[128],{"categories":2715},[],{"categories":2717},[128],{"categories":2719},[1820],{"categories":2721},[],{"categories":2723},[128],{"categories":2725},[128],{"categories":2727},[],{"categories":2729},[128],{"categories":2731},[128],{"categories":2733},[128],{"categories":2735},[226],{"categories":2737},[163],{"categories":2739},[128],{"categories":2741},[128],{"categories":2743},[1473],{"categories":2745},[122],{"categories":2747},[128],{"categories":2749},[128],{"categories":2751},[203],{"categories":2753},[128],{"categories":2755},[163],{"categories":2757},[131],{"categories":2759},[],{"categories":2761},[128],{"categories":2763},[200],{"categories":2765},[128],{"categories":2767},[226],{"categories":2769},[128],{"categories":2771},[131],{"categories":2773},[],{"categories":2775},[],{"categories":2777},[],{"categories":2779},[122],{"categories":2781},[163],{"categories":2783},[131],{"categories":2785},[128],{"categories":2787},[128],{"categories":2789},[128],{"categories":2791},[364],{"categories":2793},[200],{"categories":2795},[131],{"categories":2797},[128],{"categories":2799},[],{"categories":2801},[131],{"categories":2803},[131],{"categories":2805},[],{"categories":2807},[128],{"categories":2809},[131],{"categories":2811},[128],{"categories":2813},[],{"categories":2815},[128],{"categories":2817},[128],{"categories":2819},[163],{"categories":2821},[200],{"categories":2823},[131],{"categories":2825},[200],{"categories":2827},[131],{"categories":2829},[125],{"categories":2831},[],{"categories":2833},[],{"categories":2835},[128],{"categories":2837},[128],{"categories":2839},[122],{"categories":2841},[131],{"categories":2843},[163],{"categories":2845},[],{"categories":2847},[200],{"categories":2849},[],{"categories":2851},[141],{"categories":2853},[141],{"categories":2855},[200],{"categories":2857},[141],{"categories":2859},[128],{"categories":2861},[],{"categories":2863},[128],{"categories":2865},[128],{"categories":2867},[],{"categories":2869},[226],{"categories":2871},[128],{"categories":2873},[257],{"categories":2875},[141],{"categories":2877},[],{"categories":2879},[131],{"categories":2881},[128],{"categories":2883},[122],{"categories":2885},[454],{"categories":2887},[131],{"categories":2889},[131],{"categories":2891},[128],{"categories":2893},[128],{"categories":2895},[],{"categories":2897},[122],{"categories":2899},[128],{"categories":2901},[125],{"categories":2903},[141],{"categories":2905},[200],{"categories":2907},[],{"categories":2909},[],{"categories":2911},[],{"categories":2913},[131],{"categories":2915},[141],{"categories":2917},[200],{"categories":2919},[163],{"categories":2921},[128],{"categories":2923},[163],{"categories":2925},[131],{"categories":2927},[200],{"categories":2929},[128],{"categories":2931},[],{"categories":2933},[128],{"categories":2935},[152],{"categories":2937},[131],{"categories":2939},[200],{"categories":2941},[163],{"categories":2943},[125],{"categories":2945},[141],{"categories":2947},[128],{"categories":2949},[163],{"categories":2951},[226],{"categories":2953},[],{"categories":2955},[],{"categories":2957},[203],{"categories":2959},[85],{"categories":2961},[128],{"categories":2963},[131],{"categories":2965},[128,141],{"categories":2967},[163],{"categories":2969},[128],{"categories":2971},[128],{"categories":2973},[131],{"categories":2975},[128],{"categories":2977},[131],{"categories":2979},[128],{"categories":2981},[128],{"categories":2983},[],{"categories":2985},[1027],{"categories":2987},[141],{"categories":2989},[200],{"categories":2991},[128],{"categories":2993},[128],{"categories":2995},[128],{"categories":2997},[203],{"categories":2999},[131],{"categories":3001},[226],{"categories":3003},[257],{"categories":3005},[],{"categories":3007},[128],{"categories":3009},[125],{"categories":3011},[131],{"categories":3013},[122],{"categories":3015},[131],{"categories":3017},[128],{"categories":3019},[131],{"categories":3021},[134],{"categories":3023},[141],{"categories":3025},[128],{"categories":3027},[128],{"categories":3029},[],{"categories":3031},[],{"categories":3033},[],{"categories":3035},[257],{"categories":3037},[128],{"categories":3039},[163],{"categories":3041},[128],{"categories":3043},[128],{"categories":3045},[128],{"categories":3047},[128],{"categories":3049},[],{"categories":3051},[203],{"categories":3053},[125],{"categories":3055},[131],{"categories":3057},[128],{"categories":3059},[],{"categories":3061},[128],{"categories":3063},[131],{"categories":3065},[128],{"categories":3067},[257],{"categories":3069},[],{"categories":3071},[200],{"categories":3073},[200],{"categories":3075},[],{"categories":3077},[141],{"categories":3079},[128],{"categories":3081},[200],{"categories":3083},[128],{"categories":3085},[125],{"categories":3087},[131],{"categories":3089},[128],{"categories":3091},[],{"categories":3093},[163],{"categories":3095},[128],{"categories":3097},[128],{"categories":3099},[128],{"categories":3101},[200],{"categories":3103},[131],{"categories":3105},[163],{"categories":3107},[],{"categories":3109},[131],{"categories":3111},[131],{"categories":3113},[200],{"categories":3115},[128],{"categories":3117},[128],{"categories":3119},[128],{"categories":3121},[85],{"categories":3123},[128],{"categories":3125},[],{"categories":3127},[128],{"categories":3129},[128],{"categories":3131},[257],{"categories":3133},[163],{"categories":3135},[203],{"categories":3137},[490],{"categories":3139},[203],{"categories":3141},[],{"categories":3143},[],{"categories":3145},[],{"categories":3147},[131],{"categories":3149},[131],{"categories":3151},[141],{"categories":3153},[128],{"categories":3155},[389],{"categories":3157},[141],{"categories":3159},[128],{"categories":3161},[128],{"categories":3163},[128],{"categories":3165},[128],{"categories":3167},[131],{"categories":3169},[],{"categories":3171},[],{"categories":3173},[128],{"categories":3175},[],{"categories":3177},[128],{"categories":3179},[131],{"categories":3181},[200],{"categories":3183},[128],{"categories":3185},[128],{"categories":3187},[],{"categories":3189},[134],{"categories":3191},[128],{"categories":3193},[200],{"categories":3195},[128],{"categories":3197},[131],{"categories":3199},[125],{"categories":3201},[128],{"categories":3203},[226],{"categories":3205},[131],{"categories":3207},[128],{"categories":3209},[748],{"categories":3211},[128],{"categories":3213},[131],{"categories":3215},[128],{"categories":3217},[141],{"categories":3219},[128],{"categories":3221},[454],{"categories":3223},[200],{"categories":3225},[],{"categories":3227},[163],{"categories":3229},[85],{"categories":3231},[131],{"categories":3233},[128],{"categories":3235},[],{"categories":3237},[163],{"categories":3239},[343],{"categories":3241},[131],{"categories":3243},[131],{"categories":3245},[128],{"categories":3247},[128],{"categories":3249},[131],{"categories":3251},[],{"categories":3253},[125],{"categories":3255},[131],{"categories":3257},[],{"categories":3259},[141],{"categories":3261},[128],{"categories":3263},[122],{"categories":3265},[163],{"categories":3267},[257],{"categories":3269},[152],{"categories":3271},[131],{"categories":3273},[131],{"categories":3275},[128],{"categories":3277},[131],{"categories":3279},[122],{"categories":3281},[],{"categories":3283},[128],{"categories":3285},[128],{"categories":3287},[],{"categories":3289},[],{"categories":3291},[200],{"categories":3293},[128,125],{"categories":3295},[131],{"categories":3297},[128],{"categories":3299},[],{"categories":3301},[122],{"categories":3303},[203],{"categories":3305},[125],{"categories":3307},[128],{"categories":3309},[141],{"categories":3311},[128],{"categories":3313},[131],{"categories":3315},[128],{"categories":3317},[128],{"categories":3319},[128],{"categories":3321},[163],{"categories":3323},[1027],{"categories":3325},[131],{"categories":3327},[128],{"categories":3329},[],{"categories":3331},[],{"categories":3333},[131],{"categories":3335},[128],{"categories":3337},[257],{"categories":3339},[],{"categories":3341},[128],{"categories":3343},[131],{"categories":3345},[152],{"categories":3347},[131],{"categories":3349},[85],{"categories":3351},[],{"categories":3353},[364],{"categories":3355},[131],{"categories":3357},[128],{"categories":3359},[226],{"categories":3361},[128],{"categories":3363},[203],{"categories":3365},[131],{"categories":3367},[128],{"categories":3369},[85],{"categories":3371},[128],{"categories":3373},[257],{"categories":3375},[],{"categories":3377},[128],{"categories":3379},[226],{"categories":3381},[200],{"categories":3383},[128],{"categories":3385},[128],{"categories":3387},[],{"categories":3389},[226],{"categories":3391},[163],{"categories":3393},[128],{"categories":3395},[128],{"categories":3397},[490],{"categories":3399},[122],{"categories":3401},[128],{"categories":3403},[],{"categories":3405},[],{"categories":3407},[200],{"categories":3409},[128],{"categories":3411},[203],{"categories":3413},[226],{"categories":3415},[131],{"categories":3417},[226],{"categories":3419},[163],{"categories":3421},[],{"categories":3423},[128],{"categories":3425},[],{"categories":3427},[128],{"categories":3429},[509],{"categories":3431},[128],{"categories":3433},[128],{"categories":3435},[131],{"categories":3437},[85],{"categories":3439},[128],{"categories":3441},[128],{"categories":3443},[128],{"categories":3445},[],{"categories":3447},[128,141],{"categories":3449},[163],{"categories":3451},[131],{"categories":3453},[141],{"categories":3455},[131],{"categories":3457},[778],{"categories":3459},[141],{"categories":3461},[128],{"categories":3463},[122],{"categories":3465},[],{"categories":3467},[],{"categories":3469},[131],{"categories":3471},[128],{"categories":3473},[141],{"categories":3475},[122],{"categories":3477},[141],{"categories":3479},[141],{"categories":3481},[128],{"categories":3483},[226],{"categories":3485},[128],{"categories":3487},[141],{"categories":3489},[],{"categories":3491},[128],{"categories":3493},[200,128],{"categories":3495},[257],{"categories":3497},[122],{"categories":3499},[],{"categories":3501},[128],{"categories":3503},[128],{"categories":3505},[125],{"categories":3507},[125],{"categories":3509},[128],{"categories":3511},[128],{"categories":3513},[343],{"categories":3515},[128],{"categories":3517},[141],{"categories":3519},[203],{"categories":3521},[131],{"categories":3523},[128],{"categories":3525},[128],{"categories":3527},[163],{"categories":3529},[226],{"categories":3531},[200],{"categories":3533},[128],{"categories":3535},[128],{"categories":3537},[128],{"categories":3539},[128],{"categories":3541},[122],{"categories":3543},[128],{"categories":3545},[131],{"categories":3547},[131],{"categories":3549},[141],{"categories":3551},[163],{"categories":3553},[141],{"categories":3555},[],{"categories":3557},[],{"categories":3559},[203],{"categories":3561},[128],{"categories":3563},[141],{"categories":3565},[128],{"categories":3567},[200],{"categories":3569},[85],{"categories":3571},[364],{"categories":3573},[343],{"categories":3575},[128],{"categories":3577},[128],{"categories":3579},[128],{"categories":3581},[203],{"categories":3583},[128],{"categories":3585},[128],{"categories":3587},[128],{"categories":3589},[131],{"categories":3591},[122],{"categories":3593},[131],{"categories":3595},[128,125],{"categories":3597},[],{"categories":3599},[200],{"categories":3601},[],{"categories":3603},[134],{"categories":3605},[128],{"categories":3607},[163],{"categories":3609},[122],{"categories":3611},[122],{"categories":3613},[131],{"categories":3615},[131],{"categories":3617},[131],{"categories":3619},[128],{"categories":3621},[128],{"categories":3623},[125],{"categories":3625},[141],{"categories":3627},[226],{"categories":3629},[128],{"categories":3631},[],{"categories":3633},[163],{"categories":3635},[128],{"categories":3637},[128],{"categories":3639},[128],{"categories":3641},[128],{"categories":3643},[128],{"categories":3645},[141],{"categories":3647},[163],{"categories":3649},[141],{"categories":3651},[141],{"categories":3653},[128],{"categories":3655},[128],{"categories":3657},[364],{"categories":3659},[128],{"categories":3661},[131],{"categories":3663},[163],{"categories":3665},[128],{"categories":3667},[128],{"categories":3669},[128],{"categories":3671},[131],{"categories":3673},[128],{"categories":3675},[128],{"categories":3677},[128],{"categories":3679},[2552],{"categories":3681},[3682],"Clinical AI",{"categories":3684},[200],{"categories":3686},[128],{"categories":3688},[128],{"categories":3690},[128],{"categories":3692},[257],{"categories":3694},[2031],{"categories":3696},[128],{"categories":3698},[134],{"categories":3700},[128],{"categories":3702},[131],{"categories":3704},[128],{"categories":3706},[128],{"categories":3708},[163],{"categories":3710},[128],{"categories":3712},[131],{"categories":3714},[226],{"categories":3716},[128],{"categories":3718},[128],{"categories":3720},[125],{"categories":3722},[128],{"categories":3724},[454],{"categories":3726},[128],{"categories":3728},[],{"categories":3730},[128],{"categories":3732},[141],{"categories":3734},[128],{"categories":3736},[],{"categories":3738},[],{"categories":3740},[128],{"categories":3742},[],{"categories":3744},[125],{"categories":3746},[128],{"categories":3748},[131],{"categories":3750},[163],{"categories":3752},[163],{"categories":3754},[163],{"categories":3756},[163],{"categories":3758},[],{"categories":3760},[122],{"categories":3762},[131],{"categories":3764},[163],{"categories":3766},[128],{"categories":3768},[509],{"categories":3770},[134],{"categories":3772},[128],{"categories":3774},[122],{"categories":3776},[131],{"categories":3778},[128],{"categories":3780},[128],{"categories":3782},[128,131],{"categories":3784},[131],{"categories":3786},[257],{"categories":3788},[163],{"categories":3790},[131],{"categories":3792},[163],{"categories":3794},[131],{"categories":3796},[128],{"categories":3798},[],{"categories":3800},[163],{"categories":3802},[226],{"categories":3804},[122],{"categories":3806},[128],{"categories":3808},[128],{"categories":3810},[],{"categories":3812},[141],{"categories":3814},[],{"categories":3816},[122],{"categories":3818},[131],{"categories":3820},[163],{"categories":3822},[128],{"categories":3824},[163],{"categories":3826},[122],{"categories":3828},[163],{"categories":3830},[163],{"categories":3832},[],{"categories":3834},[125],{"categories":3836},[131],{"categories":3838},[163],{"categories":3840},[163],{"categories":3842},[163],{"categories":3844},[163],{"categories":3846},[163],{"categories":3848},[163],{"categories":3850},[163],{"categories":3852},[163],{"categories":3854},[163],{"categories":3856},[163],{"categories":3858},[203],{"categories":3860},[122],{"categories":3862},[128],{"categories":3864},[128],{"categories":3866},[131],{"categories":3868},[131],{"categories":3870},[],{"categories":3872},[128,122],{"categories":3874},[],{"categories":3876},[131],{"categories":3878},[163],{"categories":3880},[131],{"categories":3882},[778],{"categories":3884},[128],{"categories":3886},[128],{"categories":3888},[128],{"categories":3890},[128],{"categories":3892},[343],{"categories":3894},[128],{"categories":3896},[131],{"categories":3898},[125],{"categories":3900},[131],{"categories":3902},[131],{"categories":3904},[],{"categories":3906},[131],{"categories":3908},[200],{"categories":3910},[163],{"categories":3912},[128],{"categories":3914},[],{"categories":3916},[],{"categories":3918},[131],{"categories":3920},[200],{"categories":3922},[128],{"categories":3924},[],{"categories":3926},[128],{"categories":3928},[],{"categories":3930},[226],{"categories":3932},[128],{"categories":3934},[],{"categories":3936},[],{"categories":3938},[163],{"categories":3940},[122],{"categories":3942},[128],{"categories":3944},[128],{"categories":3946},[125],{"categories":3948},[128],{"categories":3950},[128],{"categories":3952},[128],{"categories":3954},[125],{"categories":3956},[200],{"categories":3958},[],{"categories":3960},[128],{"categories":3962},[163],{"categories":3964},[],{"categories":3966},[128],{"categories":3968},[128],{"categories":3970},[200],{"categories":3972},[128],{"categories":3974},[226],{"categories":3976},[128],{"categories":3978},[257],{"categories":3980},[],{"categories":3982},[131],{"categories":3984},[226],{"categories":3986},[141],{"categories":3988},[],{"categories":3990},[128],{"categories":3992},[],{"categories":3994},[131],{"categories":3996},[200],{"categories":3998},[141],{"categories":4000},[],{"categories":4002},[2552],{"categories":4004},[125],{"categories":4006},[122],{"categories":4008},[203],{"categories":4010},[131],{"categories":4012},[200],{"categories":4014},[141],{"categories":4016},[],{"categories":4018},[],{"categories":4020},[128],{"categories":4022},[122],{"categories":4024},[128],{"categories":4026},[226],{"categories":4028},[],{"categories":4030},[131],{"categories":4032},[131],{"categories":4034},[131],{"categories":4036},[128],{"categories":4038},[163],{"categories":4040},[141],{"categories":4042},[128],{"categories":4044},[131],{"categories":4046},[134],{"categories":4048},[128],{"categories":4050},[131],{"categories":4052},[128],{"categories":4054},[134],{"categories":4056},[226],{"categories":4058},[163],{"categories":4060},[],{"categories":4062},[226],{"categories":4064},[],{"categories":4066},[141],{"categories":4068},[131],{"categories":4070},[],{"categories":4072},[128],{"categories":4074},[128],{"categories":4076},[128],{"categories":4078},[128],{"categories":4080},[131],{"categories":4082},[125],{"categories":4084},[122],{"categories":4086},[128],{"categories":4088},[200],{"categories":4090},[141],{"categories":4092},[141],{"categories":4094},[128],{"categories":4096},[203],{"categories":4098},[131],{"categories":4100},[128],{"categories":4102},[131],{"categories":4104},[128],{"categories":4106},[125],{"categories":4108},[200],{"categories":4110},[141],{"categories":4112},[131],{"categories":4114},[128],{"categories":4116},[134],{"categories":4118},[128],{"categories":4120},[131],{"categories":4122},[128],{"categories":4124},[163],{"categories":4126},[],{"categories":4128},[122],{"categories":4130},[128],{"categories":4132},[128],{"categories":4134},[128],{"categories":4136},[141],{"categories":4138},[128],{"categories":4140},[141],{"categories":4142},[128],{"categories":4144},[131],{"categories":4146},[128],{"categories":4148},[128],{"categories":4150},[128],{"categories":4152},[128],{"categories":4154},[],{"categories":4156},[128],{"categories":4158},[200],{"categories":4160},[125],{"categories":4162},[163],{"categories":4164},[131],{"categories":4166},[128],{"categories":4168},[128],{"categories":4170},[200],{"categories":4172},[131],{"categories":4174},[128],{"categories":4176},[226],{"categories":4178},[128],{"categories":4180},[203],{"categories":4182},[128],{"categories":4184},[128],{"categories":4186},[163],{"categories":4188},[128],{"categories":4190},[128],{"categories":4192},[131],{"categories":4194},[257],{"categories":4196},[128],{"categories":4198},[141],{"categories":4200},[131],{"categories":4202},[203],{"categories":4204},[],{"categories":4206},[131],{"categories":4208},[141],{"categories":4210},[128],{"categories":4212},[1895],{"categories":4214},[200],{"categories":4216},[284],{"categories":4218},[128],{"categories":4220},[122],{"categories":4222},[141],{"categories":4224},[125],{"categories":4226},[141],{"categories":4228},[128],{"categories":4230},[],{"categories":4232},[131],{"categories":4234},[131],{"categories":4236},[128],{"categories":4238},[128],{"categories":4240},[203],{"categories":4242},[],{"categories":4244},[163],{"categories":4246},[],{"categories":4248},[163],{"categories":4250},[128],{"categories":4252},[128],{"categories":4254},[131],{"categories":4256},[131],{"categories":4258},[131],{"categories":4260},[],{"categories":4262},[163],{"categories":4264},[128],{"categories":4266},[],{"categories":4268},[128],{"categories":4270},[128],{"categories":4272},[],{"categories":4274},[200],{"categories":4276},[141],{"categories":4278},[131],{"categories":4280},[128],{"categories":4282},[128],{"categories":4284},[226],{"categories":4286},[128],{"categories":4288},[128],{"categories":4290},[122],{"categories":4292},[],{"categories":4294},[128],{"categories":4296},[128],{"categories":4298},[],{"categories":4300},[122],{"categories":4302},[163],{"categories":4304},[141],{"categories":4306},[85],{"categories":4308},[128],{"categories":4310},[128],{"categories":4312},[128],{"categories":4314},[141],{"categories":4316},[163],{"categories":4318},[200],{"categories":4320},[128],{"categories":4322},[128],{"categories":4324},[128],{"categories":4326},[163],{"categories":4328},[200],{"categories":4330},[128],{"categories":4332},[163],{"categories":4334},[200],{"categories":4336},[128],{"categories":4338},[163],{"categories":4340},[131],{"categories":4342},[131],{"categories":4344},[131],{"categories":4346},[141],{"categories":4348},[163],{"categories":4350},[131],{"categories":4352},[131],{"categories":4354},[128],{"categories":4356},[141],{"categories":4358},[200],{"categories":4360},[128],{"categories":4362},[],{"categories":4364},[131],{"categories":4366},[],{"categories":4368},[],{"categories":4370},[],{"categories":4372},[131],{"categories":4374},[125],{"categories":4376},[131],{"categories":4378},[4379],"Liability & Ethics",{"categories":4381},[128],{"categories":4383},[131],{"categories":4385},[122],{"categories":4387},[131],{"categories":4389},[125],{"categories":4391},[226],{"categories":4393},[131],{"categories":4395},[],{"categories":4397},[490],{"categories":4399},[131],{"categories":4401},[],{"categories":4403},[122],{"categories":4405},[131],{"categories":4407},[],{"categories":4409},[131],{"categories":4411},[128],{"categories":4413},[128],{"categories":4415},[163],{"categories":4417},[128],{"categories":4419},[128],{"categories":4421},[131],{"categories":4423},[128],{"categories":4425},[128],{"categories":4427},[163],{"categories":4429},[131],{"categories":4431},[141],{"categories":4433},[200],{"categories":4435},[122],{"categories":4437},[128],{"categories":4439},[],{"categories":4441},[131],{"categories":4443},[131],{"categories":4445},[85],{"categories":4447},[200],{"categories":4449},[257],{"categories":4451},[163],{"categories":4453},[128],{"categories":4455},[200],{"categories":4457},[128],{"categories":4459},[122],{"categories":4461},[],{"categories":4463},[131],{"categories":4465},[128],{"categories":4467},[128],{"categories":4469},[131],{"categories":4471},[128],{"categories":4473},[200],{"categories":4475},[],{"categories":4477},[131],{"categories":4479},[134],{"categories":4481},[163],{"categories":4483},[131],{"categories":4485},[125],{"categories":4487},[],{"categories":4489},[128],{"categories":4491},[134],{"categories":4493},[128],{"categories":4495},[131],{"categories":4497},[163],{"categories":4499},[122],{"categories":4501},[257],{"categories":4503},[128],{"categories":4505},[128],{"categories":4507},[128],{"categories":4509},[163],{"categories":4511},[125],{"categories":4513},[128],{"categories":4515},[200],{"categories":4517},[163],{"categories":4519},[257],{"categories":4521},[128],{"categories":4523},[131],{"categories":4525},[],{"categories":4527},[454],{"categories":4529},[],{"categories":4531},[128],{"categories":4533},[257],{"categories":4535},[203],{"categories":4537},[131],{"categories":4539},[131],{"categories":4541},[4542],"Design News & Tools",{"categories":4544},[128],{"categories":4546},[163],{"categories":4548},[128],{"categories":4550},[122],{"categories":4552},[128],{"categories":4554},[200],{"categories":4556},[131],{"categories":4558},[131],{"categories":4560},[128],{"categories":4562},[85],{"categories":4564},[128],{"categories":4566},[85],{"categories":4568},[226],{"categories":4570},[128],{"categories":4572},[131],{"categories":4574},[],{"categories":4576},[128],{"categories":4578},[128],{"categories":4580},[128],{"categories":4582},[163],{"categories":4584},[122],{"categories":4586},[],{"categories":4588},[128],{"categories":4590},[128],{"categories":4592},[141],{"categories":4594},[509],{"categories":4596},[141],{"categories":4598},[200],{"categories":4600},[128],{"categories":4602},[128,131],{"categories":4604},[226,125],{"categories":4606},[128],{"categories":4608},[128],{"categories":4610},[128],{"categories":4612},[],{"categories":4614},[131],{"categories":4616},[],{"categories":4618},[141],{"categories":4620},[128],{"categories":4622},[141],{"categories":4624},[],{"categories":4626},[131],{"categories":4628},[128],{"categories":4630},[163],{"categories":4632},[128],{"categories":4634},[],{"categories":4636},[131],{"categories":4638},[128],{"categories":4640},[],{"categories":4642},[200],{"categories":4644},[128],{"categories":4646},[131],{"categories":4648},[128],{"categories":4650},[128],{"categories":4652},[122],{"categories":4654},[131],{"categories":4656},[128],{"categories":4658},[],{"categories":4660},[257],{"categories":4662},[226],{"categories":4664},[125],{"categories":4666},[125],{"categories":4668},[128],{"categories":4670},[122],{"categories":4672},[122],{"categories":4674},[128],{"categories":4676},[131],{"categories":4678},[128],{"categories":4680},[128],{"categories":4682},[128],{"categories":4684},[141],{"categories":4686},[128],{"categories":4688},[122],{"categories":4690},[131],{"categories":4692},[128],{"categories":4694},[226],{"categories":4696},[128],{"categories":4698},[163],{"categories":4700},[128],{"categories":4702},[128],{"categories":4704},[131],{"categories":4706},[128],{"categories":4708},[],{"categories":4710},[141],{"categories":4712},[],{"categories":4714},[141],{"categories":4716},[131],{"categories":4718},[122],{"categories":4720},[],{"categories":4722},[203],{"categories":4724},[257],{"categories":4726},[128],{"categories":4728},[141],{"categories":4730},[128],{"categories":4732},[],{"categories":4734},[163],{"categories":4736},[131],{"categories":4738},[141],{"categories":4740},[200],{"categories":4742},[128],{"categories":4744},[131],{"categories":4746},[141],{"categories":4748},[131],{"categories":4750},[163],{"categories":4752},[128],{"categories":4754},[122],{"categories":4756},[163],{"categories":4758},[141],{"categories":4760},[128],{"categories":4762},[200],{"categories":4764},[125],{"categories":4766},[128],{"categories":4768},[128],{"categories":4770},[128],{"categories":4772},[128],{"categories":4774},[128],{"categories":4776},[131],{"categories":4778},[128],{"categories":4780},[131],{"categories":4782},[128],{"categories":4784},[128],{"categories":4786},[122],{"categories":4788},[128],{"categories":4790},[131],{"categories":4792},[131],{"categories":4794},[200],{"categories":4796},[131],{"categories":4798},[131],{"categories":4800},[122],{"categories":4802},[131],{"categories":4804},[200],{"categories":4806},[],{"categories":4808},[128],{"categories":4810},[203],{"categories":4812},[85],{"categories":4814},[128],{"categories":4816},[128],{"categories":4818},[128],{"categories":4820},[141],{"categories":4822},[],{"categories":4824},[131],{"categories":4826},[226],{"categories":4828},[128],{"categories":4830},[163],{"categories":4832},[131],{"categories":4834},[128],{"categories":4836},[226],{"categories":4838},[131],{"categories":4840},[125],{"categories":4842},[125],{"categories":4844},[128],{"categories":4846},[128],{"categories":4848},[128],{"categories":4850},[122],{"categories":4852},[],{"categories":4854},[128],{"categories":4856},[131],{"categories":4858},[131],{"categories":4860},[128],{"categories":4862},[128],{"categories":4864},[128],{"categories":4866},[141],{"categories":4868},[],{"categories":4870},[122],{"categories":4872},[128],{"categories":4874},[128],{"categories":4876},[131],{"categories":4878},[131],{"categories":4880},[],{"categories":4882},[141],{"categories":4884},[141],{"categories":4886},[128],{"categories":4888},[226],{"categories":4890},[125],{"categories":4892},[200],{"categories":4894},[],{"categories":4896},[128],{"categories":4898},[131],{"categories":4900},[122],{"categories":4902},[128],{"categories":4904},[141],{"categories":4906},[122],{"categories":4908},[163],{"categories":4910},[203],{"categories":4912},[163],{"categories":4914},[131],{"categories":4916},[],{"categories":4918},[163],{"categories":4920},[131],{"categories":4922},[200],{"categories":4924},[203],{"categories":4926},[128],{"categories":4928},[],{"categories":4930},[131],{"categories":4932},[2552],{"categories":4934},[163],{"categories":4936},[141],{"categories":4938},[128],{"categories":4940},[128],{"categories":4942},[125],{"categories":4944},[128],{"categories":4946},[122],{"categories":4948},[1473],{"categories":4950},[257],{"categories":4952},[122],{"categories":4954},[],{"categories":4956},[],{"categories":4958},[163],{"categories":4960},[131],{"categories":4962},[163],{"categories":4964},[],{"categories":4966},[131],{"categories":4968},[131],{"categories":4970},[131],{"categories":4972},[],{"categories":4974},[128],{"categories":4976},[],{"categories":4978},[163],{"categories":4980},[122],{"categories":4982},[200],{"categories":4984},[128],{"categories":4986},[131],{"categories":4988},[163],{"categories":4990},[128],{"categories":4992},[163],{"categories":4994},[],{"categories":4996},[163],{"categories":4998},[122],{"categories":5000},[85],{"categories":5002},[131],{"categories":5004},[128],{"categories":5006},[],{"categories":5008},[141],{"categories":5010},[131],{"categories":5012},[134],{"categories":5014},[131],{"categories":5016},[122],{"categories":5018},[],{"categories":5020},[],{"categories":5022},[],{"categories":5024},[200],{"categories":5026},[131],{"categories":5028},[128],{"categories":5030},[128],{"categories":5032},[],{"categories":5034},[],{"categories":5036},[],{"categories":5038},[200],{"categories":5040},[128],{"categories":5042},[],{"categories":5044},[131],{"categories":5046},[128],{"categories":5048},[122],{"categories":5050},[],{"categories":5052},[],{"categories":5054},[200],{"categories":5056},[128],{"categories":5058},[163],{"categories":5060},[],{"categories":5062},[226],{"categories":5064},[163],{"categories":5066},[226],{"categories":5068},[203],{"categories":5070},[128],{"categories":5072},[128],{"categories":5074},[],{"categories":5076},[],{"categories":5078},[131],{"categories":5080},[],{"categories":5082},[128],{"categories":5084},[85],{"categories":5086},[128],{"categories":5088},[128],{"categories":5090},[128],{"categories":5092},[],{"categories":5094},[131],{"categories":5096},[128],{"categories":5098},[128],{"categories":5100},[],{"categories":5102},[131],{"categories":5104},[128],{"categories":5106},[163],{"categories":5108},[128],{"categories":5110},[226],{"categories":5112},[125],{"categories":5114},[128],{"categories":5116},[128],{"categories":5118},[131],{"categories":5120},[203],{"categories":5122},[131],{"categories":5124},[131],{"categories":5126},[],{"categories":5128},[],{"categories":5130},[128],{"categories":5132},[],{"categories":5134},[163],{"categories":5136},[125],{"categories":5138},[],{"categories":5140},[],{"categories":5142},[200],{"categories":5144},[122],{"categories":5146},[],{"categories":5148},[125],{"categories":5150},[226],{"categories":5152},[128],{"categories":5154},[141],{"categories":5156},[122],{"categories":5158},[203],{"categories":5160},[125],{"categories":5162},[141],{"categories":5164},[141],{"categories":5166},[],{"categories":5168},[128],{"categories":5170},[],{"categories":5172},[131],{"categories":5174},[122],{"categories":5176},[200],{"categories":5178},[128],{"categories":5180},[122],{"categories":5182},[131],{"categories":5184},[257],{"categories":5186},[128],{"categories":5188},[128],{"categories":5190},[128],{"categories":5192},[122],{"categories":5194},[203],{"categories":5196},[131],{"categories":5198},[],{"categories":5200},[128],{"categories":5202},[141],{"categories":5204},[163],{"categories":5206},[141],{"categories":5208},[128],{"categories":5210},[134],{"categories":5212},[],{"categories":5214},[200],{"categories":5216},[163],{"categories":5218},[122],{"categories":5220},[131],{"categories":5222},[128],{"categories":5224},[128],{"categories":5226},[131],{"categories":5228},[128],{"categories":5230},[128],{"categories":5232},[125],{"categories":5234},[131],{"categories":5236},[131,257],{"categories":5238},[131],{"categories":5240},[141],{"categories":5242},[128],{"categories":5244},[128],{"categories":5246},[203],{"categories":5248},[131],{"categories":5250},[226],{"categories":5252},[131],{"categories":5254},[125],{"categories":5256},[],{"categories":5258},[131],{"categories":5260},[128],{"categories":5262},[125],{"categories":5264},[],{"categories":5266},[],{"categories":5268},[141],{"categories":5270},[128],{"categories":5272},[128],{"categories":5274},[131],{"categories":5276},[203],{"categories":5278},[226],{"categories":5280},[128],{"categories":5282},[128],{"categories":5284},[131],{"categories":5286},[],{"categories":5288},[131],{"categories":5290},[163],{"categories":5292},[131],{"categories":5294},[],{"categories":5296},[163],{"categories":5298},[141],{"categories":5300},[2552],{"categories":5302},[122],{"categories":5304},[141],{"categories":5306},[128],{"categories":5308},[131],{"categories":5310},[128],{"categories":5312},[128],{"categories":5314},[226],{"categories":5316},[141],{"categories":5318},[],{"categories":5320},[163],{"categories":5322},[128],{"categories":5324},[],{"categories":5326},[131],{"categories":5328},[128],{"categories":5330},[128],{"categories":5332},[128],{"categories":5334},[131],{"categories":5336},[128],{"categories":5338},[128],{"categories":5340},[134],{"categories":5342},[131],{"categories":5344},[128],{"categories":5346},[128],{"categories":5348},[128],{"categories":5350},[128],{"categories":5352},[128],{"categories":5354},[128],{"categories":5356},[125],{"categories":5358},[],{"categories":5360},[134],{"categories":5362},[163],{"categories":5364},[131],{"categories":5366},[128],{"categories":5368},[141],{"categories":5370},[],{"categories":5372},[141],{"categories":5374},[141],{"categories":5376},[131],{"categories":5378},[141],{"categories":5380},[128],{"categories":5382},[128],{"categories":5384},[141],{"categories":5386},[128],{"categories":5388},[131],{"categories":5390},[163],{"categories":5392},[128],{"categories":5394},[128],{"categories":5396},[128],{"categories":5398},[125],{"categories":5400},[128],{"categories":5402},[131],{"categories":5404},[200],{"categories":5406},[],{"categories":5408},[128],{"categories":5410},[203],{"categories":5412},[131],{"categories":5414},[128],{"categories":5416},[],{"categories":5418},[128],{"categories":5420},[128],{"categories":5422},[163],{"categories":5424},[128],{"categories":5426},[128],{"categories":5428},[131],{"categories":5430},[226],{"categories":5432},[],{"categories":5434},[],{"categories":5436},[141],{"categories":5438},[163],{"categories":5440},[141],{"categories":5442},[163],{"categories":5444},[128],{"categories":5446},[226],{"categories":5448},[128],{"categories":5450},[122],{"categories":5452},[131],{"categories":5454},[128],{"categories":5456},[131],{"categories":5458},[131],{"categories":5460},[128],{"categories":5462},[125],{"categories":5464},[],{"categories":5466},[203],{"categories":5468},[128],{"categories":5470},[],{"categories":5472},[163],{"categories":5474},[128],{"categories":5476},[203],{"categories":5478},[128],{"categories":5480},[141],{"categories":5482},[141],{"categories":5484},[141],{"categories":5486},[131],{"categories":5488},[131],{"categories":5490},[131],{"categories":5492},[128],{"categories":5494},[128],{"categories":5496},[200],{"categories":5498},[203],{"categories":5500},[203],{"categories":5502},[],{"categories":5504},[163],{"categories":5506},[128],{"categories":5508},[128],{"categories":5510},[141],{"categories":5512},[],{"categories":5514},[163],{"categories":5516},[163],{"categories":5518},[163],{"categories":5520},[],{"categories":5522},[131],{"categories":5524},[128],{"categories":5526},[],{"categories":5528},[122],{"categories":5530},[125],{"categories":5532},[],{"categories":5534},[128],{"categories":5536},[128],{"categories":5538},[],{"categories":5540},[141],{"categories":5542},[],{"categories":5544},[],{"categories":5546},[],{"categories":5548},[],{"categories":5550},[128],{"categories":5552},[163],{"categories":5554},[],{"categories":5556},[],{"categories":5558},[128],{"categories":5560},[128],{"categories":5562},[128],{"categories":5564},[203],{"categories":5566},[128],{"categories":5568},[203],{"categories":5570},[],{"categories":5572},[203],{"categories":5574},[203],{"categories":5576},[257],{"categories":5578},[131],{"categories":5580},[141],{"categories":5582},[],{"categories":5584},[],{"categories":5586},[203],{"categories":5588},[141],{"categories":5590},[141],{"categories":5592},[141],{"categories":5594},[],{"categories":5596},[122],{"categories":5598},[141],{"categories":5600},[141],{"categories":5602},[122],{"categories":5604},[141],{"categories":5606},[125],{"categories":5608},[141],{"categories":5610},[141],{"categories":5612},[141],{"categories":5614},[203],{"categories":5616},[163],{"categories":5618},[163],{"categories":5620},[128],{"categories":5622},[141],{"categories":5624},[203],{"categories":5626},[257],{"categories":5628},[203],{"categories":5630},[203],{"categories":5632},[203],{"categories":5634},[],{"categories":5636},[125],{"categories":5638},[],{"categories":5640},[257],{"categories":5642},[141],{"categories":5644},[141],{"categories":5646},[141],{"categories":5648},[131],{"categories":5650},[163,125],{"categories":5652},[203],{"categories":5654},[],{"categories":5656},[],{"categories":5658},[203],{"categories":5660},[],{"categories":5662},[203],{"categories":5664},[163],{"categories":5666},[131],{"categories":5668},[],{"categories":5670},[141],{"categories":5672},[128],{"categories":5674},[200],{"categories":5676},[],{"categories":5678},[128],{"categories":5680},[],{"categories":5682},[163],{"categories":5684},[122],{"categories":5686},[203],{"categories":5688},[],{"categories":5690},[141],{"categories":5692},[163],[5694,5762,5861,5966],{"id":5695,"title":5696,"ai":5697,"body":5702,"categories":5745,"created_at":86,"date_modified":86,"description":78,"extension":87,"faq":86,"featured":88,"kicker_label":86,"meta":5746,"navigation":102,"path":5751,"published_at":5752,"question":86,"scraped_at":5752,"seo":5753,"sitemap":5754,"source_id":5755,"source_name":108,"source_type":109,"source_url":5756,"stem":5757,"tags":5758,"thumbnail_url":86,"tldr":5759,"tweet":86,"unknown_tags":5760,"__hash__":5761},"summaries\u002Fsummaries\u002Fd21bc60bc19731c0-improving-long-horizon-llm-planning-via-symbolic-f-summary.md","Improving Long-Horizon LLM Planning via Symbolic Feedback",{"provider":7,"model":8,"input_tokens":5698,"output_tokens":5699,"processing_time_ms":5700,"cost_usd":5701},6011,424,2470,0.00213875,{"type":14,"value":5703,"toc":5741},[5704,5708,5711,5715,5718,5738],[17,5705,5707],{"id":5706},"the-challenge-of-long-horizon-planning","The Challenge of Long-Horizon Planning",[22,5709,5710],{},"Large Language Models often struggle with long-horizon decision-making, frequently generating infeasible or logically incorrect plans. These failures stem from the model's inability to maintain strict adherence to task constraints and semantics over extended sequences. The proposed framework addresses this by moving away from pure natural language generation toward a structured, feedback-driven refinement loop.",[17,5712,5714],{"id":5713},"symbolic-feedback-and-iterative-refinement","Symbolic Feedback and Iterative Refinement",[22,5716,5717],{},"The core of the framework is a three-part mechanism designed to enforce reliability:",[56,5719,5720,5726,5732],{},[59,5721,5722,5725],{},[29,5723,5724],{},"Symbolic Mapping:"," The system maps logical symbols into natural language descriptions. This bridges the gap between formal constraints and the model's linguistic capabilities, ensuring the LLM understands the underlying task requirements.",[59,5727,5728,5731],{},[29,5729,5730],{},"Symbolic Verifier:"," Instead of relying on the LLM to self-correct based on vague intuition, a dedicated verifier checks the generated plan against formal constraints. When errors are detected, the verifier translates these failures into specific, actionable corrective instructions that the LLM can interpret and execute.",[59,5733,5734,5737],{},[29,5735,5736],{},"Plan Recognizer:"," To prevent the model from drifting, a plan recognizer evaluates goal reachability. This provides a signal that guides the refinement process toward valid, achievable end-states.",[22,5739,5740],{},"By combining these components, the framework enables an iterative self-refinement loop where the LLM continuously updates its plan based on concrete, symbolic feedback rather than probabilistic guessing. This approach consistently improves both the feasibility and correctness of plans in complex, multi-step tasks.",{"title":78,"searchDepth":79,"depth":79,"links":5742},[5743,5744],{"id":5706,"depth":79,"text":5707},{"id":5713,"depth":79,"text":5714},[85],{"content_references":5747,"triage":5748},[],{"relevance":98,"novelty":98,"quality":98,"actionability":99,"composite":5749,"reasoning":5750},3.8,"Category: Agents & Orchestration. The article discusses a framework for improving LLM planning reliability, which directly addresses the audience's interest in architectures and tool use for AI systems. It presents a novel approach to enhancing decision-making in LLMs through symbolic feedback, which is a new angle in the field. However, while it provides insights into the framework, it lacks detailed actionable steps that the audience could immediately implement.","\u002Fsummaries\u002Fd21bc60bc19731c0-improving-long-horizon-llm-planning-via-symbolic-f-summary","2026-06-29 14:33:22",{"title":5696,"description":78},{"loc":5751},"d21bc60bc19731c0","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.27757","summaries\u002Fd21bc60bc19731c0-improving-long-horizon-llm-planning-via-symbolic-f-summary",[113,112,114],"This framework enhances LLM planning reliability by using a symbolic verifier to identify errors and provide corrective, interpretable instructions for iterative self-refinement.",[],"xebUSOJ_vs7Z1nvn4lXfWDfeRGEaC-ESX4ZfP6b_gPg",{"id":5763,"title":5764,"ai":5765,"body":5770,"categories":5841,"created_at":86,"date_modified":86,"description":78,"extension":87,"faq":86,"featured":88,"kicker_label":86,"meta":5842,"navigation":102,"path":5850,"published_at":5851,"question":86,"scraped_at":5851,"seo":5852,"sitemap":5853,"source_id":5854,"source_name":108,"source_type":109,"source_url":5847,"stem":5855,"tags":5856,"thumbnail_url":86,"tldr":5858,"tweet":86,"unknown_tags":5859,"__hash__":5860},"summaries\u002Fsummaries\u002Fde46927d081e1cdc-agent-native-immune-system-anis-architecture-for-r-summary.md","Agent-Native Immune System (ANIS): Architecture for Runtime Defense",{"provider":7,"model":8,"input_tokens":5766,"output_tokens":5767,"processing_time_ms":5768,"cost_usd":5769},6253,556,2914,0.00239725,{"type":14,"value":5771,"toc":5836},[5772,5776,5779,5783,5786,5808,5812,5815,5833],[17,5773,5775],{"id":5774},"the-shift-from-static-alignment-to-runtime-immunity","The Shift from Static Alignment to Runtime Immunity",[22,5777,5778],{},"Traditional AI security relies on perimeter defense and training-time alignment (e.g., RLHF). These methods are insufficient for autonomous agents, which operate in dynamic environments with persistent memory and external tool access. The authors argue that a fully aligned agent remains vulnerable to runtime exploits like memory poisoning, tool-chain manipulation, and multi-agent protocol attacks. They propose the Agent-Native Immune System (ANIS), an endogenous defense architecture that functions as a dynamic \"law enforcement\" mechanism during runtime, distinct from the static \"constitutional\" values established during training.",[17,5780,5782],{"id":5781},"the-immune-tower-and-harness-triad","The Immune Tower and Harness Triad",[22,5784,5785],{},"ANIS introduces two core structural concepts for agent security:",[56,5787,5788,5798],{},[59,5789,5790,5793,5794,5797],{},[29,5791,5792],{},"The Immune Tower (L0-L5):"," A six-layer hierarchical defense framework. A critical component is ",[29,5795,5796],{},"Barrier Immunity (L1)",", which provides non-cognitive, physical-and-logical isolation to prevent unauthorized access before it reaches the agent's reasoning loop.",[59,5799,5800,5803,5804,5807],{},[29,5801,5802],{},"The Harness Triad:"," A meta-cognitive automation backbone consisting of Meta, Self, and Auto components. This system enables ",[29,5805,5806],{},"Continual Immune Learning (CIL)",", allowing the agent to dynamically update its \"vaccines\" (defense protocols) in response to novel, evolving threats.",[17,5809,5811],{"id":5810},"taxonomy-and-future-challenges","Taxonomy and Future Challenges",[22,5813,5814],{},"The framework formalizes the distinction between superficial defenses and robust security measures:",[56,5816,5817,5823],{},[59,5818,5819,5822],{},[29,5820,5821],{},"Agent Viruses vs. Agent Vaccines:"," The authors distinguish between non-parametric, superficial defenses and parametric, robust vaccines that provide deep protection.",[59,5824,5825,5828,5829,5832],{},[29,5826,5827],{},"Evaluation Metrics:"," A major open challenge is the definition of new metrics, such as the ",[29,5830,5831],{},"Autoimmunity Rate",", which measures the false-positive intervention rate of the defense system.",[22,5834,5835],{},"The authors emphasize that the future of agent security lies in understanding the co-evolutionary dynamics between pathogens and vaccines within collective intelligence ecosystems, necessitating standardized immune protocols for agentic workflows.",{"title":78,"searchDepth":79,"depth":79,"links":5837},[5838,5839,5840],{"id":5774,"depth":79,"text":5775},{"id":5781,"depth":79,"text":5782},{"id":5810,"depth":79,"text":5811},[85],{"content_references":5843,"triage":5848},[5844],{"type":92,"title":5845,"author":5846,"url":5847,"context":96},"Agent-Native Immune System: Architecture, Taxonomy, and Engineering","Bo Shen et al.","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.28270",{"relevance":98,"novelty":98,"quality":98,"actionability":99,"composite":5749,"reasoning":5849},"Category: Agents & Orchestration. The article discusses a novel architecture for runtime defense in autonomous agents, addressing a specific pain point related to security in dynamic environments. It introduces the Immune Tower and Harness Triad, which provide actionable insights into improving agent security, although it lacks detailed implementation steps.","\u002Fsummaries\u002Fde46927d081e1cdc-agent-native-immune-system-anis-architecture-for-r-summary","2026-06-29 14:33:24",{"title":5764,"description":78},{"loc":5850},"de46927d081e1cdc","summaries\u002Fde46927d081e1cdc-agent-native-immune-system-anis-architecture-for-r-summary",[112,113,5857,114],"evals","The Agent-Native Immune System (ANIS) shifts AI security from static training-time alignment to dynamic, runtime defense, using a six-layer 'Immune Tower' to protect autonomous agents against memory poisoning and tool-chain manipulation.",[],"mkalbeihUoM5ScBYXC-cvpT68EdDH7YpzNIluqiu4U8",{"id":5862,"title":5863,"ai":5864,"body":5869,"categories":5937,"created_at":86,"date_modified":86,"description":78,"extension":87,"faq":86,"featured":88,"kicker_label":86,"meta":5938,"navigation":102,"path":5953,"published_at":5954,"question":86,"scraped_at":5954,"seo":5955,"sitemap":5956,"source_id":5957,"source_name":5958,"source_type":109,"source_url":5959,"stem":5960,"tags":5961,"thumbnail_url":86,"tldr":5963,"tweet":86,"unknown_tags":5964,"__hash__":5965},"summaries\u002Fsummaries\u002Fc601534806e65ec3-claude-tag-moving-ai-from-chat-to-team-based-deleg-summary.md","Claude Tag: Moving AI from Chat to Team-Based Delegation",{"provider":7,"model":8,"input_tokens":5865,"output_tokens":5866,"processing_time_ms":5867,"cost_usd":5868},10922,676,3794,0.0037445,{"type":14,"value":5870,"toc":5932},[5871,5875,5878,5882,5885,5905,5909,5912],[17,5872,5874],{"id":5873},"from-chatbot-to-persistent-teammate","From Chatbot to Persistent Teammate",[22,5876,5877],{},"Claude Tag represents a fundamental shift in LLM UI\u002FUX, moving away from the \"LLM as a website\" or \"LLM as a desktop app\" paradigms toward \"LLM as a persistent, asynchronous entity.\" By integrating directly into Slack, Claude Tag allows teams to delegate tasks, monitor workflows, and collaborate with an AI that has access to specific channels, tools, and codebases. Anthropic positions this as a \"multiplayer\" evolution of their Claude Code product, distinguishing it as the async, team-facing counterpart to the solo, synchronous nature of Claude Code.",[17,5879,5881],{"id":5880},"proactive-agentic-workflows","Proactive Agentic Workflows",[22,5883,5884],{},"Unlike traditional chatbots that wait for a prompt, Claude Tag is designed for ambient, proactive behavior. Key capabilities include:",[56,5886,5887,5893,5899],{},[59,5888,5889,5892],{},[29,5890,5891],{},"Async Delegation:"," Users can tag Claude in threads to handle tasks, allowing the AI to work in the background over long periods (e.g., waiting for blocking dependencies or monitoring A\u002FB tests).",[59,5894,5895,5898],{},[29,5896,5897],{},"Contextual Awareness:"," Claude can summarize threads into actionable documentation, follow up across channels, and trigger actions based on predefined thresholds.",[59,5900,5901,5904],{},[29,5902,5903],{},"Operational Integration:"," Anthropic reports that internal teams use this to handle 65% of product PRs, demonstrating that the value lies in the agent's ability to operate within the existing coordination fabric of the organization.",[17,5906,5908],{"id":5907},"the-engineering-trade-offs","The Engineering Trade-offs",[22,5910,5911],{},"While the product promises significant productivity gains, it introduces complex architectural challenges that organizations must navigate:",[56,5913,5914,5920,5926],{},[59,5915,5916,5919],{},[29,5917,5918],{},"Memory and Identity:"," Critics point to the \"monotheistic\" design—having one Claude identity across an entire enterprise—which risks confusion regarding context boundaries, memory partitioning, and channel-specific knowledge.",[59,5921,5922,5925],{},[29,5923,5924],{},"Security and Governance:"," Because Claude Tag requires access to sensitive data and codebases, the burden shifts to the platform layer. Success depends on robust permissioning, auditability, and secret management, rather than just raw model intelligence.",[59,5927,5928,5931],{},[29,5929,5930],{},"Noise vs. Leverage:"," There is a risk that agent-driven automation could turn human collaboration tools into sources of \"agent orchestration noise,\" potentially creating new forms of interruption or surveillance if not managed with clear accountability.",{"title":78,"searchDepth":79,"depth":79,"links":5933},[5934,5935,5936],{"id":5873,"depth":79,"text":5874},{"id":5880,"depth":79,"text":5881},{"id":5907,"depth":79,"text":5908},[85],{"content_references":5939,"triage":5949},[5940,5945,5947],{"type":5941,"title":5942,"url":5943,"context":5944},"tool","Claude Tag","https:\u002F\u002Fwww.anthropic.com\u002Fnews\u002Fintroducing-claude-tag","mentioned",{"type":5941,"title":5946,"context":5944},"Claude Code",{"type":5941,"title":5948,"context":5944},"GLM-5.2",{"relevance":5950,"novelty":98,"quality":98,"actionability":98,"composite":5951,"reasoning":5952},5,4.35,"Category: Agents & Orchestration. The article discusses the transition of LLMs to a proactive, team-based delegation model, which directly addresses the audience's interest in architectures and tool use for AI systems. It provides insights into the operational integration of Claude Tag within Slack, highlighting both its capabilities and architectural challenges, making it actionable for engineers considering similar implementations.","\u002Fsummaries\u002Fc601534806e65ec3-claude-tag-moving-ai-from-chat-to-team-based-deleg-summary","2026-06-29 14:32:26",{"title":5863,"description":78},{"loc":5953},"c601534806e65ec3","Latent Space (Newsletter)","https:\u002F\u002Fwww.latent.space\u002Fp\u002Fainews-claude-tag-multiplayer-proactive","summaries\u002Fc601534806e65ec3-claude-tag-moving-ai-from-chat-to-team-based-deleg-summary",[112,113,114,5962],"slack","Claude Tag shifts LLM interaction from synchronous chat to asynchronous, team-wide delegation within Slack, positioning Claude as a persistent, proactive coworker rather than a standalone tool.",[5962],"FBg2PXg2ReIfRfGtqHex9hhjLHuqJZWjXXZSpaxMbQM",{"id":5967,"title":5968,"ai":5969,"body":5974,"categories":6050,"created_at":86,"date_modified":86,"description":78,"extension":87,"faq":86,"featured":88,"kicker_label":86,"meta":6051,"navigation":102,"path":6072,"published_at":6073,"question":86,"scraped_at":6073,"seo":6074,"sitemap":6075,"source_id":6076,"source_name":5958,"source_type":109,"source_url":6077,"stem":6078,"tags":6079,"thumbnail_url":86,"tldr":6081,"tweet":86,"unknown_tags":6082,"__hash__":6083},"summaries\u002Fsummaries\u002Fe88d84a31fb11cf1-internal-ai-adoption-the-rise-of-agentic-workflows-summary.md","Internal AI Adoption & The Rise of Agentic Workflows",{"provider":7,"model":8,"input_tokens":5970,"output_tokens":5971,"processing_time_ms":5972,"cost_usd":5973},9867,822,3719,0.00369975,{"type":14,"value":5975,"toc":6044},[5976,5980,5983,5987,5990,5994,5997,6017,6021,6024],[17,5977,5979],{"id":5978},"internal-adoption-as-a-leading-indicator","Internal Adoption as a Leading Indicator",[22,5981,5982],{},"OpenAI's internal data reveals a significant shift in how AI is utilized within the organization. Between November 2025 and June 2026, median Codex output tokens increased by 56x in Research, 32x in Customer Support, 27x in Engineering, and 13x in Legal. This surge suggests that the most effective path to production adoption involves supporting persistent workflows, human-in-the-loop review cycles, and specialized tooling rather than relying on general-purpose chat interfaces.",[17,5984,5986],{"id":5985},"the-shift-to-long-horizon-agent-infrastructure","The Shift to Long-Horizon Agent Infrastructure",[22,5988,5989],{},"Engineering efforts are increasingly focused on agentic persistence rather than just minimizing interactive latency. New infrastructure providers like Sail ($80M raised) and Hyperagent are optimizing for workloads that run for days or weeks, providing dedicated cloud environments for browser and code execution. This aligns with a broader industry trend: using general-purpose chat for one-off answers and specialized, persistent agents for repeatable, multi-step tasks.",[17,5991,5993],{"id":5992},"evolving-evaluation-and-synthetic-data","Evolving Evaluation and Synthetic Data",[22,5995,5996],{},"Public benchmarks are increasingly viewed as compromised due to data leakage (models retrieving solutions from the internet or git history). Research is shifting toward:",[56,5998,5999,6005,6011],{},[59,6000,6001,6004],{},[29,6002,6003],{},"No-internet evaluation harnesses:"," Stricter environments to prevent benchmark hacking.",[59,6006,6007,6010],{},[29,6008,6009],{},"Autodata loops:"," Using agentic loops to generate, analyze, and meta-optimize synthetic training data, which has improved pass rates in legal and math tasks from 62.1% to 79.6%.",[59,6012,6013,6016],{},[29,6014,6015],{},"Test-time compute via curation:"," Techniques like those from Datology demonstrate that data curation can improve model efficiency by 35x by inducing concision without sacrificing performance.",[17,6018,6020],{"id":6019},"open-model-ecosystem","Open Model Ecosystem",[22,6022,6023],{},"Open models continue to close the gap with frontier labs. Notable releases include:",[56,6025,6026,6032,6038],{},[59,6027,6028,6031],{},[29,6029,6030],{},"GLM-5.2 Max:"," Reached 1595 on Code Arena (Frontend) and demonstrated high agentic reliability with zero failed runs across 84 tests.",[59,6033,6034,6037],{},[29,6035,6036],{},"Ornith-1.0:"," A family of models (9B to 397B MoE) utilizing self-improving RL to optimize task-specific scaffolds.",[59,6039,6040,6043],{},[29,6041,6042],{},"Liquid AI LFM2.5-230M:"," An ultra-small model optimized for low-latency tool use, achieving ~1400 tok\u002Fs locally via WebGPU.",{"title":78,"searchDepth":79,"depth":79,"links":6045},[6046,6047,6048,6049],{"id":5978,"depth":79,"text":5979},{"id":5985,"depth":79,"text":5986},{"id":5992,"depth":79,"text":5993},{"id":6019,"depth":79,"text":6020},[85],{"content_references":6052,"triage":6069},[6053,6055,6058,6061,6063,6065],{"type":5941,"title":5948,"author":6054,"context":5944},"Z.ai",{"type":5941,"title":6056,"author":6057,"context":5944},"Ornith-1.0","DeepReinforce-AI",{"type":5941,"title":6059,"author":6060,"context":5944},"LFM2.5-230M","Liquid AI",{"type":5941,"title":6062,"context":5944},"Sail",{"type":5941,"title":6064,"context":5944},"Hyperagent",{"type":5941,"title":6066,"author":6067,"url":6068,"context":5944},"Unlimited-OCR","Baidu","https:\u002F\u002Fgithub.com\u002Fbaidu\u002FUnlimited-OCR",{"relevance":5950,"novelty":98,"quality":98,"actionability":99,"composite":6070,"reasoning":6071},4.15,"Category: Agents & Orchestration. The article discusses the shift towards agentic workflows and persistent infrastructure, which directly addresses the audience's interest in architectures and tool use for production AI systems. It provides insights into internal adoption metrics and evolving evaluation methods, making it relevant and somewhat actionable, though it lacks specific step-by-step guidance.","\u002Fsummaries\u002Fe88d84a31fb11cf1-internal-ai-adoption-the-rise-of-agentic-workflows-summary","2026-06-29 14:32:24",{"title":5968,"description":78},{"loc":6072},"e88d84a31fb11cf1","https:\u002F\u002Fwww.latent.space\u002Fp\u002Fainews-openai-reports-median-internal","summaries\u002Fe88d84a31fb11cf1-internal-ai-adoption-the-rise-of-agentic-workflows-summary",[113,112,6080,115],"inference","OpenAI reports massive internal token growth across all departments, signaling that agentic workflows—supported by review loops and persistent infrastructure—are moving from experimental to core production patterns.",[],"AkER8qdWTV0wFDMczbRiSi0VldKQd_v6ay6Q6cb9FzE"]