[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-tokenmaxxing-leaderboards-risk-waste-over-ai-produ-summary":3,"summaries-facets-categories":83,"summary-related-tokenmaxxing-leaderboards-risk-waste-over-ai-produ-summary":4488},{"id":4,"title":5,"ai":6,"body":13,"categories":46,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":51,"navigation":67,"path":68,"published_at":48,"question":48,"scraped_at":69,"seo":70,"sitemap":71,"source_id":72,"source_name":73,"source_type":74,"source_url":75,"stem":76,"tags":77,"thumbnail_url":48,"tldr":80,"tweet":48,"unknown_tags":81,"__hash__":82},"summaries\u002Fsummaries\u002Ftokenmaxxing-leaderboards-risk-waste-over-ai-produ-summary.md","Tokenmaxxing Leaderboards Risk Waste Over AI Productivity",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",6132,2022,15130,0.0022149,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"tokenmaxxing-drives-competition-on-ai-compute-spend","Tokenmaxxing Drives Competition on AI Compute Spend",[22,23,24],"p",{},"Tokens, roughly ¾ of a word, measure LLM inputs and dictate pricing. Tokenmaxxing means maximizing token usage, with leaderboards at Meta ('Claudeonomics' for 'Token Legend' status), OpenAI, and Anthropic turning it into a contest. Engineers flex weekly spends of thousands of dollars on X; Y Combinator CEO Garry Tan boasts his firm has 'been tokenmaxxing longer than most.' Nvidia's Jensen Huang warns he'd be 'deeply alarmed' if a $500,000 engineer consumes under $250,000 in tokens yearly, viewing high spend as essential for innovation. Businesses' monthly AI spend has quadrupled per Gartner data cited by Ramp, making compute a key bottleneck.",[17,26,28],{"id":27},"leaderboards-gamify-usage-sparking-waste-concerns","Leaderboards Gamify Usage, Sparking Waste Concerns",[22,30,31],{},"Critics argue token spend is a flawed proxy like BMI—quick signal but ignores efficiency. Linear COO Cristina Cordova compares it to ranking marketers by ad spend, not results: 'Don't mistake high burn rate for high success rate.' Khosla's Jon Chu reports Meta engineers building token-burning bots in loops. 'The Pragmatic Engineer' Gergely Orosz notes devs game any metric for bonuses. Chester Zelaya calls it 'heinous,' insisting superior engineers solve problems with fewer tokens. Dylan Mitic warns 'tokenmaxxing without tokenverifying is just tokenslopping.' Persona engineer Arush Shankar deems it an output signal, never used alone.",[17,33,35],{"id":34},"practical-trade-offs-for-ai-teams","Practical Trade-offs for AI Teams",[22,37,38],{},"Proponents see it fostering AI adoption; detractors predict performative waste amid rising costs. Builders should pair token tracking with output verification—e.g., code quality, feature velocity—to avoid slop. As compute becomes employee currency, measure impact per token, not total burn.",{"title":40,"searchDepth":41,"depth":41,"links":42},"",2,[43,44,45],{"id":19,"depth":41,"text":20},{"id":27,"depth":41,"text":28},{"id":34,"depth":41,"text":35},[47],"AI News & Trends",null,"md",false,{"content_references":52,"triage":62},[53,58],{"type":54,"title":55,"url":56,"context":57},"other","Meta Employees Vie for ‘AI Token Legend’ Status","https:\u002F\u002Fwww.theinformation.com\u002Farticles\u002Fmeta-employees-vie-ai-token-legend-status","cited",{"type":54,"title":59,"publisher":60,"url":61,"context":57},"Tokenmaxxing AI Agents","The New York Times","https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F20\u002Ftechnology\u002Ftokenmaxxing-ai-agents.html",{"relevance":63,"novelty":64,"quality":63,"actionability":63,"composite":65,"reasoning":66},4,3,3.8,"Category: AI & LLMs. The article discusses the implications of tokenmaxxing in AI productivity, addressing a specific pain point about efficiency in engineering. It provides practical advice for builders to pair token tracking with output verification, making it actionable.",true,"\u002Fsummaries\u002Ftokenmaxxing-leaderboards-risk-waste-over-ai-produ-summary","2026-04-16 03:14:24",{"title":5,"description":40},{"loc":68},"8790295fa452f7ab","__oneoff__","article","https:\u002F\u002Fwww.businessinsider.com\u002Ftokenmaxxing-ai-token-leaderboards-debate-2026-4","summaries\u002Ftokenmaxxing-leaderboards-risk-waste-over-ai-produ-summary",[78,79],"ai-llms","dev-productivity","Tracking AI token spend via leaderboards like Meta's 'Claudeonomics' incentivizes gaming and bots, not efficient engineering—critics say better engineers solve problems with fewer tokens.",[78,79],"dGjaFYQhEoATqFkVjVPRfyn74RxmfCetndD3CtOgY9o",[84,87,89,91,93,96,99,102,105,107,109,111,113,115,117,119,122,124,126,128,130,132,134,137,139,141,143,145,147,149,151,153,155,157,159,161,163,165,167,169,171,173,175,177,179,182,184,186,188,190,192,194,196,198,200,202,204,206,208,210,212,214,216,218,220,222,224,226,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258,260,262,264,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,426,428,430,432,434,436,438,440,442,444,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486],{"categories":85},[86],"Business & SaaS",{"categories":88},[86],{"categories":90},[47],{"categories":92},[],{"categories":94},[95],"AI Automation",{"categories":97},[98],"Marketing & Growth",{"categories":100},[101],"Design & Frontend",{"categories":103},[104],"Software Engineering",{"categories":106},[95],{"categories":108},[],{"categories":110},[101],{"categories":112},[101],{"categories":114},[95],{"categories":116},[101],{"categories":118},[101],{"categories":120},[121],"AI & LLMs",{"categories":123},[101],{"categories":125},[101],{"categories":127},[],{"categories":129},[101],{"categories":131},[101],{"categories":133},[121],{"categories":135},[136],"Developer Productivity",{"categories":138},[121],{"categories":140},[121],{"categories":142},[121],{"categories":144},[47],{"categories":146},[121],{"categories":148},[95],{"categories":150},[86],{"categories":152},[47],{"categories":154},[98],{"categories":156},[],{"categories":158},[],{"categories":160},[95],{"categories":162},[95],{"categories":164},[95],{"categories":166},[98],{"categories":168},[121],{"categories":170},[136],{"categories":172},[47],{"categories":174},[],{"categories":176},[],{"categories":178},[],{"categories":180},[181],"Data Science & Visualization",{"categories":183},[],{"categories":185},[95],{"categories":187},[104],{"categories":189},[95],{"categories":191},[95],{"categories":193},[121],{"categories":195},[98],{"categories":197},[95],{"categories":199},[],{"categories":201},[],{"categories":203},[],{"categories":205},[101],{"categories":207},[101],{"categories":209},[95],{"categories":211},[98],{"categories":213},[136],{"categories":215},[101],{"categories":217},[121],{"categories":219},[104],{"categories":221},[121],{"categories":223},[],{"categories":225},[95],{"categories":227},[121],{"categories":229},[136],{"categories":231},[136],{"categories":233},[],{"categories":235},[98],{"categories":237},[86],{"categories":239},[121],{"categories":241},[86],{"categories":243},[86],{"categories":245},[95],{"categories":247},[98],{"categories":249},[95],{"categories":251},[86],{"categories":253},[95],{"categories":255},[101],{"categories":257},[121],{"categories":259},[101],{"categories":261},[121],{"categories":263},[86],{"categories":265},[121],{"categories":267},[98],{"categories":269},[],{"categories":271},[121],{"categories":273},[86],{"categories":275},[],{"categories":277},[47],{"categories":279},[104],{"categories":281},[],{"categories":283},[121],{"categories":285},[101],{"categories":287},[121],{"categories":289},[101],{"categories":291},[],{"categories":293},[95],{"categories":295},[],{"categories":297},[],{"categories":299},[],{"categories":301},[121],{"categories":303},[],{"categories":305},[121],{"categories":307},[121],{"categories":309},[101],{"categories":311},[121],{"categories":313},[136],{"categories":315},[95],{"categories":317},[98],{"categories":319},[136],{"categories":321},[136],{"categories":323},[136],{"categories":325},[98],{"categories":327},[98],{"categories":329},[121],{"categories":331},[121],{"categories":333},[101],{"categories":335},[86],{"categories":337},[101],{"categories":339},[104],{"categories":341},[86],{"categories":343},[86],{"categories":345},[86],{"categories":347},[101],{"categories":349},[],{"categories":351},[],{"categories":353},[121],{"categories":355},[121],{"categories":357},[104],{"categories":359},[121],{"categories":361},[121],{"categories":363},[],{"categories":365},[121],{"categories":367},[121],{"categories":369},[],{"categories":371},[121],{"categories":373},[47],{"categories":375},[47],{"categories":377},[],{"categories":379},[],{"categories":381},[98],{"categories":383},[98],{"categories":385},[104],{"categories":387},[121],{"categories":389},[],{"categories":391},[],{"categories":393},[95],{"categories":395},[121],{"categories":397},[121],{"categories":399},[],{"categories":401},[121,86],{"categories":403},[121],{"categories":405},[],{"categories":407},[121],{"categories":409},[121],{"categories":411},[],{"categories":413},[],{"categories":415},[95],{"categories":417},[121],{"categories":419},[121],{"categories":421},[95],{"categories":423},[121],{"categories":425},[],{"categories":427},[],{"categories":429},[121],{"categories":431},[],{"categories":433},[121],{"categories":435},[121],{"categories":437},[],{"categories":439},[95],{"categories":441},[101],{"categories":443},[],{"categories":445},[95,446],"DevOps & Cloud",{"categories":448},[121],{"categories":450},[95],{"categories":452},[121],{"categories":454},[],{"categories":456},[],{"categories":458},[],{"categories":460},[],{"categories":462},[121],{"categories":464},[95],{"categories":466},[],{"categories":468},[95],{"categories":470},[],{"categories":472},[121],{"categories":474},[],{"categories":476},[],{"categories":478},[],{"categories":480},[],{"categories":482},[95],{"categories":484},[101],{"categories":486},[121],{"categories":488},[98],{"categories":490},[47],{"categories":492},[86],{"categories":494},[136],{"categories":496},[],{"categories":498},[95],{"categories":500},[95],{"categories":502},[121],{"categories":504},[],{"categories":506},[],{"categories":508},[],{"categories":510},[95],{"categories":512},[],{"categories":514},[95],{"categories":516},[95],{"categories":518},[47],{"categories":520},[95],{"categories":522},[121],{"categories":524},[],{"categories":526},[121],{"categories":528},[],{"categories":530},[47],{"categories":532},[95,533],"Product Strategy",{"categories":535},[104],{"categories":537},[446],{"categories":539},[533],{"categories":541},[121],{"categories":543},[95],{"categories":545},[],{"categories":547},[47],{"categories":549},[47],{"categories":551},[95],{"categories":553},[],{"categories":555},[95],{"categories":557},[121],{"categories":559},[121],{"categories":561},[136],{"categories":563},[121],{"categories":565},[],{"categories":567},[121,104],{"categories":569},[47],{"categories":571},[121],{"categories":573},[47],{"categories":575},[95],{"categories":577},[47],{"categories":579},[],{"categories":581},[104],{"categories":583},[86],{"categories":585},[],{"categories":587},[95],{"categories":589},[95],{"categories":591},[95],{"categories":593},[95],{"categories":595},[86],{"categories":597},[101],{"categories":599},[98],{"categories":601},[],{"categories":603},[95],{"categories":605},[],{"categories":607},[47],{"categories":609},[47],{"categories":611},[47],{"categories":613},[95],{"categories":615},[47],{"categories":617},[121],{"categories":619},[136],{"categories":621},[121],{"categories":623},[104],{"categories":625},[121,136],{"categories":627},[136],{"categories":629},[136],{"categories":631},[136],{"categories":633},[136],{"categories":635},[121],{"categories":637},[],{"categories":639},[],{"categories":641},[98],{"categories":643},[],{"categories":645},[121],{"categories":647},[136],{"categories":649},[121],{"categories":651},[101],{"categories":653},[104],{"categories":655},[],{"categories":657},[121],{"categories":659},[136],{"categories":661},[98],{"categories":663},[47],{"categories":665},[104],{"categories":667},[121],{"categories":669},[],{"categories":671},[104],{"categories":673},[101],{"categories":675},[86],{"categories":677},[86],{"categories":679},[],{"categories":681},[101],{"categories":683},[86],{"categories":685},[47],{"categories":687},[136],{"categories":689},[95],{"categories":691},[95],{"categories":693},[121],{"categories":695},[121],{"categories":697},[47],{"categories":699},[47],{"categories":701},[136],{"categories":703},[47],{"categories":705},[],{"categories":707},[533],{"categories":709},[95],{"categories":711},[47],{"categories":713},[47],{"categories":715},[47],{"categories":717},[121],{"categories":719},[95],{"categories":721},[95],{"categories":723},[86],{"categories":725},[86],{"categories":727},[121],{"categories":729},[47],{"categories":731},[],{"categories":733},[121],{"categories":735},[86],{"categories":737},[95],{"categories":739},[95],{"categories":741},[95],{"categories":743},[101],{"categories":745},[95],{"categories":747},[136],{"categories":749},[47],{"categories":751},[47],{"categories":753},[47],{"categories":755},[47],{"categories":757},[47],{"categories":759},[],{"categories":761},[],{"categories":763},[136],{"categories":765},[47],{"categories":767},[47],{"categories":769},[47],{"categories":771},[],{"categories":773},[121],{"categories":775},[],{"categories":777},[],{"categories":779},[101],{"categories":781},[86],{"categories":783},[],{"categories":785},[47],{"categories":787},[95],{"categories":789},[95],{"categories":791},[95],{"categories":793},[98],{"categories":795},[95],{"categories":797},[],{"categories":799},[47],{"categories":801},[47],{"categories":803},[121],{"categories":805},[],{"categories":807},[98],{"categories":809},[98],{"categories":811},[121],{"categories":813},[47],{"categories":815},[86],{"categories":817},[104],{"categories":819},[121],{"categories":821},[],{"categories":823},[121],{"categories":825},[121],{"categories":827},[104],{"categories":829},[121],{"categories":831},[121],{"categories":833},[121],{"categories":835},[98],{"categories":837},[47],{"categories":839},[121],{"categories":841},[121],{"categories":843},[47],{"categories":845},[95],{"categories":847},[136],{"categories":849},[86],{"categories":851},[121],{"categories":853},[136],{"categories":855},[136],{"categories":857},[],{"categories":859},[98],{"categories":861},[47],{"categories":863},[47],{"categories":865},[136],{"categories":867},[95],{"categories":869},[95],{"categories":871},[95],{"categories":873},[95],{"categories":875},[101],{"categories":877},[121],{"categories":879},[121],{"categories":881},[533],{"categories":883},[121],{"categories":885},[121],{"categories":887},[95],{"categories":889},[86],{"categories":891},[98],{"categories":893},[],{"categories":895},[86],{"categories":897},[86],{"categories":899},[],{"categories":901},[101],{"categories":903},[121],{"categories":905},[],{"categories":907},[],{"categories":909},[47],{"categories":911},[47],{"categories":913},[47],{"categories":915},[47],{"categories":917},[],{"categories":919},[47],{"categories":921},[121],{"categories":923},[121],{"categories":925},[],{"categories":927},[47],{"categories":929},[47],{"categories":931},[86],{"categories":933},[121],{"categories":935},[],{"categories":937},[],{"categories":939},[47],{"categories":941},[47],{"categories":943},[47],{"categories":945},[121],{"categories":947},[47],{"categories":949},[47],{"categories":951},[47],{"categories":953},[47],{"categories":955},[47],{"categories":957},[],{"categories":959},[95],{"categories":961},[121],{"categories":963},[98],{"categories":965},[86],{"categories":967},[95],{"categories":969},[121],{"categories":971},[],{"categories":973},[98],{"categories":975},[47],{"categories":977},[47],{"categories":979},[47],{"categories":981},[47],{"categories":983},[136],{"categories":985},[104],{"categories":987},[],{"categories":989},[121],{"categories":991},[95],{"categories":993},[95],{"categories":995},[95],{"categories":997},[446],{"categories":999},[95],{"categories":1001},[121],{"categories":1003},[121],{"categories":1005},[104],{"categories":1007},[446],{"categories":1009},[181],{"categories":1011},[121],{"categories":1013},[181],{"categories":1015},[],{"categories":1017},[98],{"categories":1019},[98],{"categories":1021},[101],{"categories":1023},[446],{"categories":1025},[95],{"categories":1027},[121],{"categories":1029},[121],{"categories":1031},[95],{"categories":1033},[95],{"categories":1035},[95],{"categories":1037},[136],{"categories":1039},[136],{"categories":1041},[95],{"categories":1043},[95],{"categories":1045},[],{"categories":1047},[95],{"categories":1049},[95],{"categories":1051},[121],{"categories":1053},[181],{"categories":1055},[95],{"categories":1057},[95],{"categories":1059},[95],{"categories":1061},[95],{"categories":1063},[86],{"categories":1065},[101],{"categories":1067},[47],{"categories":1069},[104],{"categories":1071},[446],{"categories":1073},[104],{"categories":1075},[181],{"categories":1077},[],{"categories":1079},[104],{"categories":1081},[],{"categories":1083},[],{"categories":1085},[104],{"categories":1087},[121],{"categories":1089},[],{"categories":1091},[],{"categories":1093},[],{"categories":1095},[86],{"categories":1097},[],{"categories":1099},[],{"categories":1101},[181],{"categories":1103},[121],{"categories":1105},[446],{"categories":1107},[121],{"categories":1109},[],{"categories":1111},[95],{"categories":1113},[136],{"categories":1115},[136],{"categories":1117},[98],{"categories":1119},[98],{"categories":1121},[98],{"categories":1123},[446],{"categories":1125},[104],{"categories":1127},[95],{"categories":1129},[86],{"categories":1131},[86],{"categories":1133},[104],{"categories":1135},[101],{"categories":1137},[181],{"categories":1139},[101],{"categories":1141},[],{"categories":1143},[121],{"categories":1145},[95],{"categories":1147},[95],{"categories":1149},[136],{"categories":1151},[95],{"categories":1153},[95],{"categories":1155},[101],{"categories":1157},[101],{"categories":1159},[95],{"categories":1161},[446],{"categories":1163},[121],{"categories":1165},[],{"categories":1167},[98],{"categories":1169},[95],{"categories":1171},[86],{"categories":1173},[95],{"categories":1175},[95],{"categories":1177},[],{"categories":1179},[121],{"categories":1181},[95],{"categories":1183},[95],{"categories":1185},[136],{"categories":1187},[95],{"categories":1189},[121],{"categories":1191},[],{"categories":1193},[95],{"categories":1195},[],{"categories":1197},[101],{"categories":1199},[136],{"categories":1201},[121],{"categories":1203},[104],{"categories":1205},[101],{"categories":1207},[136],{"categories":1209},[181],{"categories":1211},[136],{"categories":1213},[],{"categories":1215},[121],{"categories":1217},[121],{"categories":1219},[533],{"categories":1221},[104],{"categories":1223},[121,95],{"categories":1225},[95],{"categories":1227},[121],{"categories":1229},[95],{"categories":1231},[95,104],{"categories":1233},[95],{"categories":1235},[121],{"categories":1237},[],{"categories":1239},[136],{"categories":1241},[121],{"categories":1243},[95],{"categories":1245},[121],{"categories":1247},[],{"categories":1249},[104],{"categories":1251},[86],{"categories":1253},[95],{"categories":1255},[],{"categories":1257},[181],{"categories":1259},[104],{"categories":1261},[95],{"categories":1263},[104],{"categories":1265},[],{"categories":1267},[95],{"categories":1269},[],{"categories":1271},[95],{"categories":1273},[],{"categories":1275},[],{"categories":1277},[101],{"categories":1279},[136],{"categories":1281},[121],{"categories":1283},[95],{"categories":1285},[],{"categories":1287},[95],{"categories":1289},[104],{"categories":1291},[121],{"categories":1293},[121],{"categories":1295},[104],{"categories":1297},[104],{"categories":1299},[136],{"categories":1301},[86],{"categories":1303},[],{"categories":1305},[121],{"categories":1307},[121],{"categories":1309},[121],{"categories":1311},[95],{"categories":1313},[121],{"categories":1315},[],{"categories":1317},[101],{"categories":1319},[121],{"categories":1321},[95],{"categories":1323},[],{"categories":1325},[121],{"categories":1327},[],{"categories":1329},[121],{"categories":1331},[],{"categories":1333},[],{"categories":1335},[],{"categories":1337},[121],{"categories":1339},[121],{"categories":1341},[121],{"categories":1343},[121],{"categories":1345},[],{"categories":1347},[121],{"categories":1349},[121],{"categories":1351},[121],{"categories":1353},[],{"categories":1355},[121],{"categories":1357},[],{"categories":1359},[98],{"categories":1361},[121],{"categories":1363},[],{"categories":1365},[],{"categories":1367},[],{"categories":1369},[121],{"categories":1371},[47],{"categories":1373},[47],{"categories":1375},[],{"categories":1377},[95],{"categories":1379},[121],{"categories":1381},[],{"categories":1383},[121],{"categories":1385},[121],{"categories":1387},[47],{"categories":1389},[],{"categories":1391},[121],{"categories":1393},[47],{"categories":1395},[95],{"categories":1397},[121],{"categories":1399},[],{"categories":1401},[],{"categories":1403},[],{"categories":1405},[95],{"categories":1407},[95],{"categories":1409},[95],{"categories":1411},[95],{"categories":1413},[121],{"categories":1415},[101],{"categories":1417},[101],{"categories":1419},[95],{"categories":1421},[95],{"categories":1423},[136],{"categories":1425},[533],{"categories":1427},[136],{"categories":1429},[136],{"categories":1431},[121],{"categories":1433},[95],{"categories":1435},[121],{"categories":1437},[136],{"categories":1439},[121],{"categories":1441},[95],{"categories":1443},[95],{"categories":1445},[95],{"categories":1447},[95],{"categories":1449},[95],{"categories":1451},[121],{"categories":1453},[136],{"categories":1455},[136],{"categories":1457},[98],{"categories":1459},[95],{"categories":1461},[],{"categories":1463},[95],{"categories":1465},[],{"categories":1467},[47],{"categories":1469},[121],{"categories":1471},[],{"categories":1473},[86],{"categories":1475},[101],{"categories":1477},[101],{"categories":1479},[95],{"categories":1481},[95],{"categories":1483},[121],{"categories":1485},[121],{"categories":1487},[47],{"categories":1489},[47],{"categories":1491},[446],{"categories":1493},[95],{"categories":1495},[47],{"categories":1497},[],{"categories":1499},[121],{"categories":1501},[95],{"categories":1503},[95],{"categories":1505},[95],{"categories":1507},[95],{"categories":1509},[121],{"categories":1511},[121],{"categories":1513},[121],{"categories":1515},[121],{"categories":1517},[95],{"categories":1519},[95],{"categories":1521},[95],{"categories":1523},[95],{"categories":1525},[],{"categories":1527},[101],{"categories":1529},[121],{"categories":1531},[121],{"categories":1533},[121],{"categories":1535},[],{"categories":1537},[98],{"categories":1539},[],{"categories":1541},[136],{"categories":1543},[],{"categories":1545},[95],{"categories":1547},[136],{"categories":1549},[101],{"categories":1551},[136],{"categories":1553},[],{"categories":1555},[136],{"categories":1557},[136],{"categories":1559},[],{"categories":1561},[101],{"categories":1563},[95],{"categories":1565},[95],{"categories":1567},[136],{"categories":1569},[121],{"categories":1571},[121],{"categories":1573},[],{"categories":1575},[47],{"categories":1577},[],{"categories":1579},[98],{"categories":1581},[],{"categories":1583},[101],{"categories":1585},[47],{"categories":1587},[101],{"categories":1589},[101],{"categories":1591},[101],{"categories":1593},[101],{"categories":1595},[101],{"categories":1597},[101],{"categories":1599},[101],{"categories":1601},[101],{"categories":1603},[101],{"categories":1605},[101],{"categories":1607},[],{"categories":1609},[95],{"categories":1611},[101],{"categories":1613},[121],{"categories":1615},[121],{"categories":1617},[101],{"categories":1619},[101],{"categories":1621},[101],{"categories":1623},[101],{"categories":1625},[101],{"categories":1627},[101],{"categories":1629},[101],{"categories":1631},[121,101],{"categories":1633},[101],{"categories":1635},[101],{"categories":1637},[101],{"categories":1639},[101],{"categories":1641},[],{"categories":1643},[101],{"categories":1645},[101],{"categories":1647},[101],{"categories":1649},[101],{"categories":1651},[101],{"categories":1653},[101],{"categories":1655},[101],{"categories":1657},[101],{"categories":1659},[101],{"categories":1661},[101,121],{"categories":1663},[101],{"categories":1665},[101],{"categories":1667},[],{"categories":1669},[47],{"categories":1671},[],{"categories":1673},[121],{"categories":1675},[],{"categories":1677},[95],{"categories":1679},[446],{"categories":1681},[533],{"categories":1683},[95],{"categories":1685},[95],{"categories":1687},[],{"categories":1689},[95],{"categories":1691},[],{"categories":1693},[95],{"categories":1695},[],{"categories":1697},[],{"categories":1699},[121],{"categories":1701},[121],{"categories":1703},[121],{"categories":1705},[47],{"categories":1707},[47],{"categories":1709},[47],{"categories":1711},[47],{"categories":1713},[],{"categories":1715},[47],{"categories":1717},[],{"categories":1719},[47],{"categories":1721},[121],{"categories":1723},[47],{"categories":1725},[47],{"categories":1727},[47],{"categories":1729},[47],{"categories":1731},[121],{"categories":1733},[47],{"categories":1735},[95],{"categories":1737},[],{"categories":1739},[95],{"categories":1741},[47],{"categories":1743},[121],{"categories":1745},[47],{"categories":1747},[47],{"categories":1749},[47],{"categories":1751},[121],{"categories":1753},[121],{"categories":1755},[121],{"categories":1757},[],{"categories":1759},[],{"categories":1761},[121],{"categories":1763},[47],{"categories":1765},[],{"categories":1767},[121],{"categories":1769},[95],{"categories":1771},[121],{"categories":1773},[95],{"categories":1775},[95],{"categories":1777},[121],{"categories":1779},[],{"categories":1781},[],{"categories":1783},[95],{"categories":1785},[95],{"categories":1787},[95],{"categories":1789},[95],{"categories":1791},[95],{"categories":1793},[95],{"categories":1795},[95],{"categories":1797},[95],{"categories":1799},[],{"categories":1801},[95],{"categories":1803},[95],{"categories":1805},[95],{"categories":1807},[121],{"categories":1809},[121],{"categories":1811},[121],{"categories":1813},[47],{"categories":1815},[121],{"categories":1817},[121],{"categories":1819},[121],{"categories":1821},[95],{"categories":1823},[98],{"categories":1825},[98],{"categories":1827},[98],{"categories":1829},[95],{"categories":1831},[],{"categories":1833},[121],{"categories":1835},[],{"categories":1837},[],{"categories":1839},[121],{"categories":1841},[],{"categories":1843},[95],{"categories":1845},[101],{"categories":1847},[136],{"categories":1849},[181],{"categories":1851},[121],{"categories":1853},[95],{"categories":1855},[101],{"categories":1857},[],{"categories":1859},[95],{"categories":1861},[98,86],{"categories":1863},[95],{"categories":1865},[95],{"categories":1867},[446],{"categories":1869},[104],{"categories":1871},[98],{"categories":1873},[136],{"categories":1875},[121],{"categories":1877},[],{"categories":1879},[121],{"categories":1881},[],{"categories":1883},[121],{"categories":1885},[121],{"categories":1887},[95],{"categories":1889},[],{"categories":1891},[121],{"categories":1893},[95],{"categories":1895},[121],{"categories":1897},[136],{"categories":1899},[95],{"categories":1901},[121],{"categories":1903},[121,136],{"categories":1905},[136],{"categories":1907},[],{"categories":1909},[121],{"categories":1911},[121],{"categories":1913},[121],{"categories":1915},[],{"categories":1917},[],{"categories":1919},[95],{"categories":1921},[98],{"categories":1923},[47],{"categories":1925},[95],{"categories":1927},[121],{"categories":1929},[47],{"categories":1931},[],{"categories":1933},[136],{"categories":1935},[47],{"categories":1937},[],{"categories":1939},[181],{"categories":1941},[98],{"categories":1943},[86],{"categories":1945},[47],{"categories":1947},[121],{"categories":1949},[95],{"categories":1951},[121],{"categories":1953},[95],{"categories":1955},[95],{"categories":1957},[47],{"categories":1959},[136],{"categories":1961},[101],{"categories":1963},[86],{"categories":1965},[121],{"categories":1967},[121],{"categories":1969},[],{"categories":1971},[],{"categories":1973},[121],{"categories":1975},[],{"categories":1977},[121],{"categories":1979},[47],{"categories":1981},[],{"categories":1983},[95],{"categories":1985},[136],{"categories":1987},[47],{"categories":1989},[136],{"categories":1991},[95],{"categories":1993},[121],{"categories":1995},[],{"categories":1997},[95],{"categories":1999},[95],{"categories":2001},[101],{"categories":2003},[95],{"categories":2005},[101],{"categories":2007},[95],{"categories":2009},[95],{"categories":2011},[101],{"categories":2013},[],{"categories":2015},[],{"categories":2017},[101],{"categories":2019},[101],{"categories":2021},[101],{"categories":2023},[104],{"categories":2025},[136],{"categories":2027},[136],{"categories":2029},[95],{"categories":2031},[47],{"categories":2033},[136],{"categories":2035},[136],{"categories":2037},[98],{"categories":2039},[101],{"categories":2041},[95],{"categories":2043},[95],{"categories":2045},[121],{"categories":2047},[136],{"categories":2049},[121],{"categories":2051},[],{"categories":2053},[446],{"categories":2055},[533],{"categories":2057},[],{"categories":2059},[],{"categories":2061},[95],{"categories":2063},[47],{"categories":2065},[98],{"categories":2067},[98],{"categories":2069},[181],{"categories":2071},[101],{"categories":2073},[181],{"categories":2075},[181],{"categories":2077},[95],{"categories":2079},[],{"categories":2081},[],{"categories":2083},[181],{"categories":2085},[104],{"categories":2087},[121],{"categories":2089},[104],{"categories":2091},[181],{"categories":2093},[104],{"categories":2095},[181],{"categories":2097},[86],{"categories":2099},[104],{"categories":2101},[136],{"categories":2103},[121],{"categories":2105},[],{"categories":2107},[181],{"categories":2109},[446],{"categories":2111},[],{"categories":2113},[121],{"categories":2115},[121],{"categories":2117},[],{"categories":2119},[],{"categories":2121},[121],{"categories":2123},[121],{"categories":2125},[47],{"categories":2127},[121],{"categories":2129},[],{"categories":2131},[47],{"categories":2133},[],{"categories":2135},[],{"categories":2137},[47],{"categories":2139},[47],{"categories":2141},[121],{"categories":2143},[121],{"categories":2145},[121],{"categories":2147},[121],{"categories":2149},[121],{"categories":2151},[121],{"categories":2153},[98],{"categories":2155},[],{"categories":2157},[121],{"categories":2159},[],{"categories":2161},[],{"categories":2163},[95],{"categories":2165},[136],{"categories":2167},[],{"categories":2169},[446],{"categories":2171},[121,446],{"categories":2173},[121],{"categories":2175},[],{"categories":2177},[101],{"categories":2179},[101],{"categories":2181},[101],{"categories":2183},[101],{"categories":2185},[101],{"categories":2187},[],{"categories":2189},[],{"categories":2191},[],{"categories":2193},[104],{"categories":2195},[95],{"categories":2197},[86],{"categories":2199},[104],{"categories":2201},[136],{"categories":2203},[101],{"categories":2205},[],{"categories":2207},[98],{"categories":2209},[533],{"categories":2211},[181],{"categories":2213},[181],{"categories":2215},[181],{"categories":2217},[136],{"categories":2219},[533],{"categories":2221},[136],{"categories":2223},[],{"categories":2225},[86],{"categories":2227},[104],{"categories":2229},[121],{"categories":2231},[101],{"categories":2233},[98],{"categories":2235},[104],{"categories":2237},[98],{"categories":2239},[121],{"categories":2241},[101],{"categories":2243},[104],{"categories":2245},[446],{"categories":2247},[121],{"categories":2249},[47],{"categories":2251},[104],{"categories":2253},[],{"categories":2255},[121],{"categories":2257},[104],{"categories":2259},[104],{"categories":2261},[95],{"categories":2263},[],{"categories":2265},[98],{"categories":2267},[98],{"categories":2269},[98],{"categories":2271},[95],{"categories":2273},[121],{"categories":2275},[],{"categories":2277},[86],{"categories":2279},[136],{"categories":2281},[136],{"categories":2283},[181],{"categories":2285},[86],{"categories":2287},[47],{"categories":2289},[181],{"categories":2291},[],{"categories":2293},[47],{"categories":2295},[47],{"categories":2297},[47],{"categories":2299},[121],{"categories":2301},[86],{"categories":2303},[121],{"categories":2305},[],{"categories":2307},[],{"categories":2309},[],{"categories":2311},[104],{"categories":2313},[95],{"categories":2315},[],{"categories":2317},[136],{"categories":2319},[101],{"categories":2321},[],{"categories":2323},[98],{"categories":2325},[],{"categories":2327},[101],{"categories":2329},[121],{"categories":2331},[136],{"categories":2333},[86],{"categories":2335},[],{"categories":2337},[101],{"categories":2339},[101],{"categories":2341},[121],{"categories":2343},[],{"categories":2345},[],{"categories":2347},[104],{"categories":2349},[121],{"categories":2351},[],{"categories":2353},[95],{"categories":2355},[121],{"categories":2357},[],{"categories":2359},[104],{"categories":2361},[95],{"categories":2363},[121],{"categories":2365},[181],{"categories":2367},[121],{"categories":2369},[],{"categories":2371},[181],{"categories":2373},[121],{"categories":2375},[104],{"categories":2377},[121],{"categories":2379},[181],{"categories":2381},[95],{"categories":2383},[121],{"categories":2385},[121],{"categories":2387},[121,95],{"categories":2389},[95],{"categories":2391},[95],{"categories":2393},[95],{"categories":2395},[101],{"categories":2397},[136],{"categories":2399},[121],{"categories":2401},[136],{"categories":2403},[101],{"categories":2405},[121],{"categories":2407},[],{"categories":2409},[],{"categories":2411},[121],{"categories":2413},[121],{"categories":2415},[121],{"categories":2417},[95],{"categories":2419},[121],{"categories":2421},[],{"categories":2423},[121],{"categories":2425},[121],{"categories":2427},[95],{"categories":2429},[95],{"categories":2431},[121],{"categories":2433},[121],{"categories":2435},[],{"categories":2437},[121],{"categories":2439},[],{"categories":2441},[121],{"categories":2443},[121],{"categories":2445},[121],{"categories":2447},[121],{"categories":2449},[121],{"categories":2451},[121],{"categories":2453},[121],{"categories":2455},[],{"categories":2457},[121],{"categories":2459},[47],{"categories":2461},[47],{"categories":2463},[],{"categories":2465},[],{"categories":2467},[121],{"categories":2469},[],{"categories":2471},[121],{"categories":2473},[121,446],{"categories":2475},[],{"categories":2477},[47],{"categories":2479},[],{"categories":2481},[121],{"categories":2483},[],{"categories":2485},[],{"categories":2487},[],{"categories":2489},[121],{"categories":2491},[],{"categories":2493},[121],{"categories":2495},[],{"categories":2497},[121],{"categories":2499},[121],{"categories":2501},[],{"categories":2503},[],{"categories":2505},[121,446],{"categories":2507},[446,121],{"categories":2509},[47],{"categories":2511},[],{"categories":2513},[121],{"categories":2515},[],{"categories":2517},[121],{"categories":2519},[121],{"categories":2521},[],{"categories":2523},[47],{"categories":2525},[121,86],{"categories":2527},[47],{"categories":2529},[104],{"categories":2531},[],{"categories":2533},[95],{"categories":2535},[121],{"categories":2537},[98],{"categories":2539},[121],{"categories":2541},[136],{"categories":2543},[136],{"categories":2545},[446],{"categories":2547},[47],{"categories":2549},[121],{"categories":2551},[446],{"categories":2553},[104],{"categories":2555},[121],{"categories":2557},[136],{"categories":2559},[],{"categories":2561},[121],{"categories":2563},[],{"categories":2565},[],{"categories":2567},[121],{"categories":2569},[],{"categories":2571},[121],{"categories":2573},[104],{"categories":2575},[86],{"categories":2577},[136],{"categories":2579},[98],{"categories":2581},[95],{"categories":2583},[136],{"categories":2585},[],{"categories":2587},[98],{"categories":2589},[],{"categories":2591},[],{"categories":2593},[121],{"categories":2595},[47],{"categories":2597},[98],{"categories":2599},[],{"categories":2601},[121],{"categories":2603},[47],{"categories":2605},[47],{"categories":2607},[98],{"categories":2609},[47],{"categories":2611},[121],{"categories":2613},[47],{"categories":2615},[121],{"categories":2617},[],{"categories":2619},[121],{"categories":2621},[121],{"categories":2623},[121],{"categories":2625},[47],{"categories":2627},[],{"categories":2629},[],{"categories":2631},[101],{"categories":2633},[47],{"categories":2635},[],{"categories":2637},[121],{"categories":2639},[121],{"categories":2641},[121],{"categories":2643},[121],{"categories":2645},[121],{"categories":2647},[121],{"categories":2649},[121],{"categories":2651},[121],{"categories":2653},[121],{"categories":2655},[98],{"categories":2657},[121,101],{"categories":2659},[47],{"categories":2661},[47],{"categories":2663},[121],{"categories":2665},[104],{"categories":2667},[181],{"categories":2669},[121],{"categories":2671},[121],{"categories":2673},[],{"categories":2675},[],{"categories":2677},[121],{"categories":2679},[121],{"categories":2681},[],{"categories":2683},[101],{"categories":2685},[101],{"categories":2687},[136],{"categories":2689},[121],{"categories":2691},[136],{"categories":2693},[121],{"categories":2695},[121],{"categories":2697},[],{"categories":2699},[121],{"categories":2701},[],{"categories":2703},[],{"categories":2705},[121],{"categories":2707},[],{"categories":2709},[],{"categories":2711},[47],{"categories":2713},[],{"categories":2715},[121],{"categories":2717},[121],{"categories":2719},[121],{"categories":2721},[],{"categories":2723},[121],{"categories":2725},[47],{"categories":2727},[533],{"categories":2729},[95],{"categories":2731},[121],{"categories":2733},[],{"categories":2735},[95],{"categories":2737},[121],{"categories":2739},[],{"categories":2741},[121],{"categories":2743},[],{"categories":2745},[95],{"categories":2747},[],{"categories":2749},[],{"categories":2751},[95],{"categories":2753},[95],{"categories":2755},[95],{"categories":2757},[121],{"categories":2759},[],{"categories":2761},[95],{"categories":2763},[95],{"categories":2765},[],{"categories":2767},[],{"categories":2769},[95],{"categories":2771},[121],{"categories":2773},[47],{"categories":2775},[533],{"categories":2777},[98],{"categories":2779},[],{"categories":2781},[101],{"categories":2783},[121],{"categories":2785},[121],{"categories":2787},[86],{"categories":2789},[47],{"categories":2791},[47],{"categories":2793},[47],{"categories":2795},[47],{"categories":2797},[],{"categories":2799},[95],{"categories":2801},[95],{"categories":2803},[95],{"categories":2805},[95],{"categories":2807},[136],{"categories":2809},[121],{"categories":2811},[86],{"categories":2813},[],{"categories":2815},[136],{"categories":2817},[95],{"categories":2819},[101],{"categories":2821},[101],{"categories":2823},[101],{"categories":2825},[101],{"categories":2827},[101],{"categories":2829},[101],{"categories":2831},[121,86],{"categories":2833},[95],{"categories":2835},[86],{"categories":2837},[47],{"categories":2839},[47],{"categories":2841},[136],{"categories":2843},[],{"categories":2845},[],{"categories":2847},[98],{"categories":2849},[],{"categories":2851},[121],{"categories":2853},[98],{"categories":2855},[121],{"categories":2857},[104],{"categories":2859},[95],{"categories":2861},[86],{"categories":2863},[95],{"categories":2865},[104],{"categories":2867},[136],{"categories":2869},[95],{"categories":2871},[],{"categories":2873},[136],{"categories":2875},[],{"categories":2877},[],{"categories":2879},[95],{"categories":2881},[95],{"categories":2883},[95],{"categories":2885},[121],{"categories":2887},[121],{"categories":2889},[121],{"categories":2891},[121],{"categories":2893},[121],{"categories":2895},[],{"categories":2897},[446],{"categories":2899},[121],{"categories":2901},[],{"categories":2903},[],{"categories":2905},[],{"categories":2907},[136],{"categories":2909},[],{"categories":2911},[121],{"categories":2913},[],{"categories":2915},[47],{"categories":2917},[121],{"categories":2919},[47],{"categories":2921},[121],{"categories":2923},[95],{"categories":2925},[],{"categories":2927},[121],{"categories":2929},[121],{"categories":2931},[],{"categories":2933},[181],{"categories":2935},[181],{"categories":2937},[104],{"categories":2939},[101],{"categories":2941},[],{"categories":2943},[121],{"categories":2945},[95],{"categories":2947},[],{"categories":2949},[],{"categories":2951},[121],{"categories":2953},[104],{"categories":2955},[95],{"categories":2957},[86],{"categories":2959},[136,104],{"categories":2961},[104],{"categories":2963},[121],{"categories":2965},[95],{"categories":2967},[],{"categories":2969},[],{"categories":2971},[],{"categories":2973},[],{"categories":2975},[],{"categories":2977},[],{"categories":2979},[121],{"categories":2981},[],{"categories":2983},[],{"categories":2985},[121],{"categories":2987},[],{"categories":2989},[],{"categories":2991},[],{"categories":2993},[121],{"categories":2995},[47],{"categories":2997},[],{"categories":2999},[],{"categories":3001},[],{"categories":3003},[121],{"categories":3005},[],{"categories":3007},[121],{"categories":3009},[121],{"categories":3011},[],{"categories":3013},[121],{"categories":3015},[104],{"categories":3017},[],{"categories":3019},[136],{"categories":3021},[136],{"categories":3023},[],{"categories":3025},[98],{"categories":3027},[],{"categories":3029},[],{"categories":3031},[],{"categories":3033},[101],{"categories":3035},[47],{"categories":3037},[95],{"categories":3039},[121],{"categories":3041},[86],{"categories":3043},[121],{"categories":3045},[],{"categories":3047},[],{"categories":3049},[86],{"categories":3051},[98],{"categories":3053},[95],{"categories":3055},[],{"categories":3057},[446],{"categories":3059},[],{"categories":3061},[98],{"categories":3063},[121],{"categories":3065},[121],{"categories":3067},[98],{"categories":3069},[121],{"categories":3071},[101],{"categories":3073},[95],{"categories":3075},[121],{"categories":3077},[95],{"categories":3079},[121],{"categories":3081},[95],{"categories":3083},[136],{"categories":3085},[136],{"categories":3087},[101],{"categories":3089},[],{"categories":3091},[121],{"categories":3093},[121],{"categories":3095},[98],{"categories":3097},[533],{"categories":3099},[136],{"categories":3101},[47],{"categories":3103},[121],{"categories":3105},[47],{"categories":3107},[121],{"categories":3109},[121],{"categories":3111},[],{"categories":3113},[121],{"categories":3115},[],{"categories":3117},[121],{"categories":3119},[98],{"categories":3121},[121],{"categories":3123},[121],{"categories":3125},[121],{"categories":3127},[],{"categories":3129},[121],{"categories":3131},[121],{"categories":3133},[533],{"categories":3135},[],{"categories":3137},[47],{"categories":3139},[446],{"categories":3141},[104],{"categories":3143},[],{"categories":3145},[181],{"categories":3147},[],{"categories":3149},[],{"categories":3151},[47],{"categories":3153},[121],{"categories":3155},[],{"categories":3157},[121],{"categories":3159},[121],{"categories":3161},[95],{"categories":3163},[121],{"categories":3165},[47],{"categories":3167},[47],{"categories":3169},[101],{"categories":3171},[101],{"categories":3173},[101],{"categories":3175},[121],{"categories":3177},[181],{"categories":3179},[47],{"categories":3181},[136],{"categories":3183},[],{"categories":3185},[101],{"categories":3187},[101],{"categories":3189},[446],{"categories":3191},[101],{"categories":3193},[101],{"categories":3195},[95],{"categories":3197},[47],{"categories":3199},[446],{"categories":3201},[121],{"categories":3203},[121],{"categories":3205},[121],{"categories":3207},[121],{"categories":3209},[],{"categories":3211},[95],{"categories":3213},[121],{"categories":3215},[101],{"categories":3217},[],{"categories":3219},[],{"categories":3221},[47],{"categories":3223},[],{"categories":3225},[95],{"categories":3227},[95],{"categories":3229},[95],{"categories":3231},[95],{"categories":3233},[95],{"categories":3235},[95],{"categories":3237},[95],{"categories":3239},[95],{"categories":3241},[],{"categories":3243},[],{"categories":3245},[121],{"categories":3247},[],{"categories":3249},[95],{"categories":3251},[136],{"categories":3253},[136],{"categories":3255},[181],{"categories":3257},[86],{"categories":3259},[],{"categories":3261},[],{"categories":3263},[],{"categories":3265},[101],{"categories":3267},[121],{"categories":3269},[],{"categories":3271},[86],{"categories":3273},[86],{"categories":3275},[101],{"categories":3277},[136],{"categories":3279},[181],{"categories":3281},[101],{"categories":3283},[101],{"categories":3285},[],{"categories":3287},[95],{"categories":3289},[86],{"categories":3291},[86],{"categories":3293},[121],{"categories":3295},[95],{"categories":3297},[104],{"categories":3299},[101],{"categories":3301},[],{"categories":3303},[98],{"categories":3305},[181],{"categories":3307},[47],{"categories":3309},[47],{"categories":3311},[47],{"categories":3313},[446],{"categories":3315},[],{"categories":3317},[95],{"categories":3319},[],{"categories":3321},[95],{"categories":3323},[95],{"categories":3325},[121],{"categories":3327},[121],{"categories":3329},[104],{"categories":3331},[95],{"categories":3333},[104],{"categories":3335},[],{"categories":3337},[95],{"categories":3339},[101],{"categories":3341},[101],{"categories":3343},[101],{"categories":3345},[121],{"categories":3347},[95],{"categories":3349},[121],{"categories":3351},[86],{"categories":3353},[47],{"categories":3355},[101],{"categories":3357},[47],{"categories":3359},[121],{"categories":3361},[],{"categories":3363},[47],{"categories":3365},[95],{"categories":3367},[47],{"categories":3369},[47],{"categories":3371},[47],{"categories":3373},[47],{"categories":3375},[],{"categories":3377},[],{"categories":3379},[47],{"categories":3381},[47],{"categories":3383},[],{"categories":3385},[47],{"categories":3387},[47],{"categories":3389},[121],{"categories":3391},[121],{"categories":3393},[47],{"categories":3395},[47],{"categories":3397},[121],{"categories":3399},[],{"categories":3401},[121],{"categories":3403},[95],{"categories":3405},[121],{"categories":3407},[121],{"categories":3409},[],{"categories":3411},[121],{"categories":3413},[121],{"categories":3415},[121],{"categories":3417},[47],{"categories":3419},[],{"categories":3421},[],{"categories":3423},[],{"categories":3425},[],{"categories":3427},[121],{"categories":3429},[121],{"categories":3431},[],{"categories":3433},[98],{"categories":3435},[47],{"categories":3437},[],{"categories":3439},[],{"categories":3441},[],{"categories":3443},[],{"categories":3445},[],{"categories":3447},[121],{"categories":3449},[],{"categories":3451},[],{"categories":3453},[121],{"categories":3455},[],{"categories":3457},[95],{"categories":3459},[95],{"categories":3461},[95],{"categories":3463},[86],{"categories":3465},[],{"categories":3467},[98],{"categories":3469},[104],{"categories":3471},[104],{"categories":3473},[446],{"categories":3475},[47],{"categories":3477},[],{"categories":3479},[121],{"categories":3481},[121],{"categories":3483},[86],{"categories":3485},[],{"categories":3487},[86],{"categories":3489},[],{"categories":3491},[],{"categories":3493},[],{"categories":3495},[104],{"categories":3497},[95],{"categories":3499},[95],{"categories":3501},[95],{"categories":3503},[95],{"categories":3505},[95],{"categories":3507},[],{"categories":3509},[47],{"categories":3511},[121],{"categories":3513},[121],{"categories":3515},[121],{"categories":3517},[],{"categories":3519},[86],{"categories":3521},[],{"categories":3523},[101],{"categories":3525},[181],{"categories":3527},[101],{"categories":3529},[],{"categories":3531},[],{"categories":3533},[121],{"categories":3535},[95],{"categories":3537},[],{"categories":3539},[121],{"categories":3541},[121],{"categories":3543},[121],{"categories":3545},[95],{"categories":3547},[95],{"categories":3549},[121],{"categories":3551},[181],{"categories":3553},[95],{"categories":3555},[],{"categories":3557},[121],{"categories":3559},[],{"categories":3561},[533],{"categories":3563},[104],{"categories":3565},[181],{"categories":3567},[104],{"categories":3569},[446],{"categories":3571},[121],{"categories":3573},[104],{"categories":3575},[47],{"categories":3577},[446],{"categories":3579},[104],{"categories":3581},[101],{"categories":3583},[101],{"categories":3585},[],{"categories":3587},[104],{"categories":3589},[],{"categories":3591},[136],{"categories":3593},[104],{"categories":3595},[],{"categories":3597},[181],{"categories":3599},[181],{"categories":3601},[533],{"categories":3603},[],{"categories":3605},[121],{"categories":3607},[104],{"categories":3609},[446],{"categories":3611},[95],{"categories":3613},[95],{"categories":3615},[181],{"categories":3617},[121],{"categories":3619},[136],{"categories":3621},[121],{"categories":3623},[],{"categories":3625},[],{"categories":3627},[],{"categories":3629},[98],{"categories":3631},[121],{"categories":3633},[101],{"categories":3635},[104],{"categories":3637},[104],{"categories":3639},[121],{"categories":3641},[98],{"categories":3643},[136],{"categories":3645},[121],{"categories":3647},[104],{"categories":3649},[121],{"categories":3651},[104],{"categories":3653},[136],{"categories":3655},[136],{"categories":3657},[95],{"categories":3659},[136],{"categories":3661},[104],{"categories":3663},[86],{"categories":3665},[104],{"categories":3667},[104],{"categories":3669},[104],{"categories":3671},[104],{"categories":3673},[],{"categories":3675},[47],{"categories":3677},[],{"categories":3679},[181],{"categories":3681},[121],{"categories":3683},[121],{"categories":3685},[],{"categories":3687},[],{"categories":3689},[],{"categories":3691},[121],{"categories":3693},[47],{"categories":3695},[121],{"categories":3697},[121],{"categories":3699},[],{"categories":3701},[121],{"categories":3703},[101],{"categories":3705},[121],{"categories":3707},[121],{"categories":3709},[121],{"categories":3711},[],{"categories":3713},[],{"categories":3715},[],{"categories":3717},[446],{"categories":3719},[446],{"categories":3721},[86],{"categories":3723},[95],{"categories":3725},[86,98],{"categories":3727},[121],{"categories":3729},[47],{"categories":3731},[],{"categories":3733},[101],{"categories":3735},[181],{"categories":3737},[121],{"categories":3739},[104],{"categories":3741},[121],{"categories":3743},[],{"categories":3745},[181],{"categories":3747},[446],{"categories":3749},[95],{"categories":3751},[86],{"categories":3753},[446],{"categories":3755},[95],{"categories":3757},[136],{"categories":3759},[95],{"categories":3761},[136],{"categories":3763},[121],{"categories":3765},[136],{"categories":3767},[136],{"categories":3769},[104],{"categories":3771},[181],{"categories":3773},[121],{"categories":3775},[98],{"categories":3777},[],{"categories":3779},[121],{"categories":3781},[101],{"categories":3783},[181],{"categories":3785},[86],{"categories":3787},[121],{"categories":3789},[181],{"categories":3791},[136],{"categories":3793},[121],{"categories":3795},[121],{"categories":3797},[181],{"categories":3799},[121],{"categories":3801},[136],{"categories":3803},[121],{"categories":3805},[],{"categories":3807},[121],{"categories":3809},[121],{"categories":3811},[121],{"categories":3813},[121],{"categories":3815},[],{"categories":3817},[95],{"categories":3819},[446],{"categories":3821},[],{"categories":3823},[],{"categories":3825},[121],{"categories":3827},[86],{"categories":3829},[98],{"categories":3831},[86],{"categories":3833},[86],{"categories":3835},[95],{"categories":3837},[],{"categories":3839},[121],{"categories":3841},[47],{"categories":3843},[121],{"categories":3845},[121],{"categories":3847},[],{"categories":3849},[95],{"categories":3851},[47],{"categories":3853},[121,446],{"categories":3855},[95,446],{"categories":3857},[446],{"categories":3859},[121],{"categories":3861},[95],{"categories":3863},[95],{"categories":3865},[104],{"categories":3867},[104],{"categories":3869},[104],{"categories":3871},[121],{"categories":3873},[101],{"categories":3875},[95],{"categories":3877},[],{"categories":3879},[446],{"categories":3881},[],{"categories":3883},[446],{"categories":3885},[446],{"categories":3887},[86],{"categories":3889},[95],{"categories":3891},[],{"categories":3893},[446],{"categories":3895},[121],{"categories":3897},[47],{"categories":3899},[121],{"categories":3901},[101],{"categories":3903},[104],{"categories":3905},[104],{"categories":3907},[104],{"categories":3909},[446],{"categories":3911},[],{"categories":3913},[],{"categories":3915},[],{"categories":3917},[121],{"categories":3919},[104],{"categories":3921},[121],{"categories":3923},[104],{"categories":3925},[446],{"categories":3927},[446],{"categories":3929},[121],{"categories":3931},[95],{"categories":3933},[],{"categories":3935},[121],{"categories":3937},[121],{"categories":3939},[121],{"categories":3941},[],{"categories":3943},[],{"categories":3945},[446],{"categories":3947},[446],{"categories":3949},[121,446],{"categories":3951},[95],{"categories":3953},[95],{"categories":3955},[95],{"categories":3957},[95],{"categories":3959},[95],{"categories":3961},[95],{"categories":3963},[],{"categories":3965},[104],{"categories":3967},[121],{"categories":3969},[104],{"categories":3971},[98],{"categories":3973},[121],{"categories":3975},[533],{"categories":3977},[533],{"categories":3979},[95],{"categories":3981},[104],{"categories":3983},[],{"categories":3985},[95],{"categories":3987},[121],{"categories":3989},[],{"categories":3991},[101],{"categories":3993},[],{"categories":3995},[121],{"categories":3997},[95],{"categories":3999},[47],{"categories":4001},[121],{"categories":4003},[],{"categories":4005},[],{"categories":4007},[101],{"categories":4009},[101],{"categories":4011},[136],{"categories":4013},[101],{"categories":4015},[95],{"categories":4017},[],{"categories":4019},[95],{"categories":4021},[47],{"categories":4023},[121],{"categories":4025},[121],{"categories":4027},[],{"categories":4029},[121],{"categories":4031},[136],{"categories":4033},[121],{"categories":4035},[],{"categories":4037},[181],{"categories":4039},[104],{"categories":4041},[104],{"categories":4043},[86],{"categories":4045},[86],{"categories":4047},[86],{"categories":4049},[95],{"categories":4051},[86],{"categories":4053},[95],{"categories":4055},[446],{"categories":4057},[533],{"categories":4059},[47],{"categories":4061},[47],{"categories":4063},[47],{"categories":4065},[446],{"categories":4067},[47,86],{"categories":4069},[181],{"categories":4071},[95],{"categories":4073},[],{"categories":4075},[121],{"categories":4077},[],{"categories":4079},[104],{"categories":4081},[181],{"categories":4083},[101],{"categories":4085},[104],{"categories":4087},[136],{"categories":4089},[],{"categories":4091},[95],{"categories":4093},[],{"categories":4095},[533],{"categories":4097},[],{"categories":4099},[101],{"categories":4101},[101],{"categories":4103},[181],{"categories":4105},[],{"categories":4107},[121],{"categories":4109},[181],{"categories":4111},[],{"categories":4113},[121],{"categories":4115},[121],{"categories":4117},[],{"categories":4119},[136],{"categories":4121},[121],{"categories":4123},[],{"categories":4125},[121],{"categories":4127},[],{"categories":4129},[],{"categories":4131},[95],{"categories":4133},[95],{"categories":4135},[],{"categories":4137},[104],{"categories":4139},[104],{"categories":4141},[104],{"categories":4143},[121,95],{"categories":4145},[95],{"categories":4147},[95],{"categories":4149},[95],{"categories":4151},[181],{"categories":4153},[181],{"categories":4155},[],{"categories":4157},[47],{"categories":4159},[121],{"categories":4161},[181],{"categories":4163},[181],{"categories":4165},[47],{"categories":4167},[86],{"categories":4169},[95],{"categories":4171},[104],{"categories":4173},[121],{"categories":4175},[121],{"categories":4177},[95],{"categories":4179},[104],{"categories":4181},[95],{"categories":4183},[121],{"categories":4185},[98],{"categories":4187},[],{"categories":4189},[121],{"categories":4191},[],{"categories":4193},[121],{"categories":4195},[121],{"categories":4197},[104],{"categories":4199},[],{"categories":4201},[181],{"categories":4203},[121],{"categories":4205},[95],{"categories":4207},[95],{"categories":4209},[104],{"categories":4211},[136],{"categories":4213},[136],{"categories":4215},[47],{"categories":4217},[121],{"categories":4219},[95],{"categories":4221},[],{"categories":4223},[95],{"categories":4225},[121],{"categories":4227},[47],{"categories":4229},[121],{"categories":4231},[121],{"categories":4233},[121],{"categories":4235},[95],{"categories":4237},[181],{"categories":4239},[121],{"categories":4241},[101],{"categories":4243},[121],{"categories":4245},[121],{"categories":4247},[121],{"categories":4249},[121],{"categories":4251},[],{"categories":4253},[121],{"categories":4255},[181],{"categories":4257},[101],{"categories":4259},[121],{"categories":4261},[101],{"categories":4263},[],{"categories":4265},[],{"categories":4267},[],{"categories":4269},[121],{"categories":4271},[],{"categories":4273},[],{"categories":4275},[],{"categories":4277},[],{"categories":4279},[95],{"categories":4281},[136],{"categories":4283},[95],{"categories":4285},[95],{"categories":4287},[104],{"categories":4289},[86],{"categories":4291},[121],{"categories":4293},[121],{"categories":4295},[121],{"categories":4297},[86],{"categories":4299},[136],{"categories":4301},[],{"categories":4303},[181],{"categories":4305},[98],{"categories":4307},[121],{"categories":4309},[101],{"categories":4311},[136],{"categories":4313},[136],{"categories":4315},[533],{"categories":4317},[95],{"categories":4319},[121],{"categories":4321},[121],{"categories":4323},[136],{"categories":4325},[121],{"categories":4327},[],{"categories":4329},[],{"categories":4331},[446],{"categories":4333},[101],{"categories":4335},[136],{"categories":4337},[121],{"categories":4339},[47],{"categories":4341},[136],{"categories":4343},[86],{"categories":4345},[95],{"categories":4347},[95],{"categories":4349},[47],{"categories":4351},[121],{"categories":4353},[],{"categories":4355},[],{"categories":4357},[],{"categories":4359},[121],{"categories":4361},[],{"categories":4363},[47],{"categories":4365},[],{"categories":4367},[121],{"categories":4369},[],{"categories":4371},[47],{"categories":4373},[95],{"categories":4375},[121],{"categories":4377},[446],{"categories":4379},[121],{"categories":4381},[136],{"categories":4383},[121],{"categories":4385},[136],{"categories":4387},[136],{"categories":4389},[],{"categories":4391},[],{"categories":4393},[136],{"categories":4395},[136],{"categories":4397},[136],{"categories":4399},[],{"categories":4401},[136],{"categories":4403},[95],{"categories":4405},[95],{"categories":4407},[],{"categories":4409},[121],{"categories":4411},[98],{"categories":4413},[181],{"categories":4415},[121],{"categories":4417},[],{"categories":4419},[136],{"categories":4421},[121],{"categories":4423},[533],{"categories":4425},[136],{"categories":4427},[136],{"categories":4429},[98],{"categories":4431},[104],{"categories":4433},[104],{"categories":4435},[],{"categories":4437},[104],{"categories":4439},[121],{"categories":4441},[],{"categories":4443},[],{"categories":4445},[95],{"categories":4447},[],{"categories":4449},[95],{"categories":4451},[95],{"categories":4453},[47],{"categories":4455},[121],{"categories":4457},[47],{"categories":4459},[136],{"categories":4461},[47],{"categories":4463},[104],{"categories":4465},[104],{"categories":4467},[104],{"categories":4469},[47],{"categories":4471},[121],{"categories":4473},[95],{"categories":4475},[446],{"categories":4477},[86],{"categories":4479},[446],{"categories":4481},[446],{"categories":4483},[104],{"categories":4485},[446],{"categories":4487},[446],[4489,4723,4784,4855],{"id":4490,"title":4491,"ai":4492,"body":4497,"categories":4692,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":4693,"navigation":67,"path":4709,"published_at":4710,"question":48,"scraped_at":4711,"seo":4712,"sitemap":4713,"source_id":4714,"source_name":4715,"source_type":74,"source_url":4716,"stem":4717,"tags":4718,"thumbnail_url":48,"tldr":4720,"tweet":48,"unknown_tags":4721,"__hash__":4722},"summaries\u002Fsummaries\u002Ft-c-l-d-audit-spot-ai-s-erosion-of-your-role-summary.md","T-C-L-D Audit: Spot AI's Erosion of Your Role",{"provider":7,"model":8,"input_tokens":4493,"output_tokens":4494,"processing_time_ms":4495,"cost_usd":4496},8626,3137,30288,0.0032712,{"type":14,"value":4498,"toc":4686},[4499,4503,4506,4509,4512,4515,4519,4522,4528,4549,4554,4585,4588,4592,4595,4606,4612,4617,4637,4640,4647,4650,4654],[17,4500,4502],{"id":4501},"hollowing-out-ai-erodes-roles-before-replacing-them","Hollowing Out: AI Erodes Roles Before Replacing Them",[22,4504,4505],{},"Knowledge jobs don't vanish overnight like in hype videos; they get hollowed out gradually. AI targets routine pieces—info gathering, writing, summarizing—leaving a shell that looks productive until economic shocks (recessions, reorgs) force cuts. Travel agents illustrate: Online booking commoditized routine reservations first, without immediate job losses. Downturns later exposed the change, shifting survivors to complex planning, emergencies, and human judgment.",[22,4507,4508],{},"Data backs this: OpenAI\u002FUPenn estimate 80% of US workers have 10%+ tasks AI-affected; 20% see half impacted. Anthropic's index shows 49% of jobs with 25%+ tasks using LLMs. Microsoft Bing Copilot analysis of 200k sessions reveals top uses: writing, info provision—core to 'visible throughput' rewarded by old performance systems.",[22,4510,4511],{},"\"AI doesn't have to replace your whole job to put you on thin ice. It only has to pick away at enough of the pieces inside the job that when the next shock comes, the rest of the story stops holding together.\"",[22,4513,4514],{},"Performance reviews lag because they measure output volume ('Did the deck get made?'), not necessity ('Did it need a human?'). This creates a 'dangerous window' where calendars fill with low-value work, masking erosion. Theater (performative rituals) collapses first since it was already low-attention; commodity follows as AI scales without human limits.",[17,4516,4518],{"id":4517},"run-the-t-c-l-d-audit-on-your-work","Run the T-C-L-D Audit on Your Work",[22,4520,4521],{},"This 30-60 minute exercise dissects your last 10 business days into four buckets, forcing honesty about value. Prerequisites: Access to calendar, sent emails, Slack\u002FDMs, docs\u002Ftickets. Assumes knowledge worker role (emails\u002Fmeetings heavy); do it manually first for calibration, then AI-assist.",[22,4523,4524],{},[4525,4526,4527],"strong",{},"Steps:",[4529,4530,4531,4535,4543,4546],"ol",{},[4532,4533,4534],"li",{},"Open all sources side-by-side.",[4532,4536,4537,4538,4542],{},"Tag ",[4539,4540,4541],"em",{},"each item"," (meeting, email, doc, message)—not projects\u002Froles—with T, C, L, or D. Use first instinct; agonize = L.",[4532,4544,4545],{},"Count totals by time (hours) or items for proportions.",[4532,4547,4548],{},"AI acceleration (optional, via Claude\u002Fcomputer use): Chunk by tool (e.g., one agent per email\u002Fcalendar). Provide clear definitions\u002Fprompts: \"Tag as T if performative with no examined value.\" Expect iteration; full automation needs your judgment input.",[22,4550,4551],{},[4525,4552,4553],{},"Bucket Definitions & Tests:",[4555,4556,4557,4563,4569,4575],"ul",{},[4532,4558,4559,4562],{},[4525,4560,4561],{},"T (Theater):"," Organizational performance, not value. Disappears without admitting waste. Examples: Unblocking status meetings, unread decks for flipping, ritual check-ins\u002Ffeedback post-decision, legacy reviews. Test: Main fallout is exposing fiction? >\"Tagging T means admitting you spent professional time on something that did not need to happen.\"",[4532,4564,4565,4568],{},[4525,4566,4567],{},"C (Commodity):"," Real value, but not you-specific. Examples: Summarizing known inputs, routing decisions, status reports anyone competent writes, first-draft docs in fixed formats. Test: Spec it out—could junior\u002Fvendor match output? Valuable but scarce no more; AI compresses throughput.",[4532,4570,4571,4574],{},[4525,4572,4573],{},"L (On the Line):"," Gray zone, vulnerable soon. Examples: Structured pattern recognition, history-based relationships, repeatable synthesis, junior-doable + your 'judgment' (hard to articulate). Feels expert but commoditizing.",[4532,4576,4577,4580,4581,4584],{},[4525,4578,4579],{},"D (Durable):"," You irreplaceably alter outcomes. Examples: Reading rooms to reframe problems, presence shifting decisions via taste\u002Fcontext\u002Fcourage. Test: Output relies on indescribable judgment; you changed the ",[4539,4582,4583],{},"question",", not just answered it. Rare, power-law distributed (few high-impact hours define careers).",[22,4586,4587],{},"Common pitfalls: Undercount T (confuse 'expected' with 'valuable'); overclaim D (self-image vs. hours logged); ignore L's migration to C.",[17,4589,4591],{"id":4590},"redirect-to-durable-work-results-pitfalls-and-six-moves","Redirect to Durable Work: Results, Pitfalls, and Six Moves",[22,4593,4594],{},"Expect: High T\u002FC (invisible erosion), low D (under-allocated), L signaling shifts. Reveals mismatch: Identity clings to imagined uniqueness, but weeks prioritize defensible routines.",[22,4596,4597,4600,4601,4605],{},[4525,4598,4599],{},"Core Principle: Question-Holding vs. Answering."," Durable = holding ambiguity (diagnose real issues, evolve questions via context\u002Fjudgment). Commodity\u002Ftheater = answering knowns. AI excels at latter; humans at former. \"Durable work ",[4602,4603,4604],"span",{},"is"," question-holding instead of question-answering.\"",[22,4607,4608,4611],{},[4525,4609,4610],{},"Legibility Paradox:"," Visible busyness (T\u002FC) props up reviews; durable often invisible (e.g., quiet reframing). Cutting T\u002FC exposes you short-term but frees capacity.",[22,4613,4614],{},[4525,4615,4616],{},"Post-Audit Moves (Prioritize by Impact):",[4529,4618,4619,4622,4625,4628,4631,4634],{},[4532,4620,4621],{},"Stop defending T: Delegate\u002Fasync\u002FAI (e.g., bot summaries).",[4532,4623,4624],{},"Automate C: Prompt LLMs for drafts\u002Froutings; spec for juniors.",[4532,4626,4627],{},"Probe L: Articulate judgment— if specifiable, shift to C; else build toward D.",[4532,4629,4630],{},"Amplify D: Propose projects centering it; track\u002Fquantify impact.",[4532,4632,4633],{},"Update identity: Self-image as 'question-holder' before reorgs force it. Pour saved time into durable, not more C (trap: 2x productive at collapsing value).",[4532,4635,4636],{},"Re-audit biweekly; share anonymized with peers for calibration.",[22,4638,4639],{},"\"The first sign that your job is on thin ice is often a full calendar and no clue what's happening.\"",[22,4641,4642,4643,4646],{},"\"Your week is not organized around ",[4602,4644,4645],{},"durable work",".\"",[22,4648,4649],{},"Practice: After tagging, journal one D item—why durable? Prototype AI for top C. Fits early\u002Fmid-career pivot in AI era; scales to teams (aggregate audits for reorg prep).",[17,4651,4653],{"id":4652},"key-takeaways","Key Takeaways",[4555,4655,4656,4659,4662,4665,4668,4671,4674,4677,4680,4683],{},[4532,4657,4658],{},"Tag last 10 days' items as T\u002FC\u002FL\u002FD to quantify vulnerability—aim \u003C20% T, minimize C\u002FL.",[4532,4660,4661],{},"Eliminate theater first: If no one examines output, AI it now.",[4532,4663,4664],{},"Test commodity: 'Could I spec this for anyone?' → Automate\u002Foffload.",[4532,4666,4667],{},"Seek durable: Did you reframe the question? Double down there.",[4532,4669,4670],{},"Avoid identity trap: Audit hours, not self-image; redirect saved time to D.",[4532,4672,4673],{},"Use AI for audit (chunked prompts) but supply your definitions.",[4532,4675,4676],{},"Re-run biweekly; downturns accelerate shifts—act pre-shock.",[4532,4678,4679],{},"Power-law careers: Few D moments define you; organize week around them.",[4532,4681,4682],{},"Question-holding wins: AI answers; you evolve problems.",[4532,4684,4685],{},"Leaders doubling C productivity lose—shift before systems update.",{"title":40,"searchDepth":41,"depth":41,"links":4687},[4688,4689,4690,4691],{"id":4501,"depth":41,"text":4502},{"id":4517,"depth":41,"text":4518},{"id":4590,"depth":41,"text":4591},{"id":4652,"depth":41,"text":4653},[],{"content_references":4694,"triage":4707},[4695,4699,4705],{"type":54,"title":4696,"url":4697,"context":4698},"Job at Risk AI Audit","https:\u002F\u002Fnatesnewsletter.substack.com\u002Fp\u002Fjob-at-risk-ai-audit?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true","recommended",{"type":4700,"title":4701,"author":4702,"url":4703,"context":4704},"podcast","AI News & Strategy Daily with Nate B Jones","Nate B Jones","https:\u002F\u002Fopen.spotify.com\u002Fshow\u002F0gkFdjd1wptEKJKLu9LbZ4","mentioned",{"type":4700,"title":4701,"author":4702,"url":4706,"context":4704},"https:\u002F\u002Fpodcasts.apple.com\u002Fus\u002Fpodcast\u002Fai-news-strategy-daily-with-nate-b-jones\u002Fid1877109372",{"relevance":63,"novelty":64,"quality":63,"actionability":63,"composite":65,"reasoning":4708},"Category: AI Automation. The article provides a practical framework (T-C-L-D Audit) for assessing tasks vulnerable to AI, addressing a specific pain point for builders concerned about AI's impact on productivity. It offers actionable steps for categorizing work, which can help users redirect their focus to more irreplaceable tasks.","\u002Fsummaries\u002Ft-c-l-d-audit-spot-ai-s-erosion-of-your-role-summary","2026-05-04 14:01:31","2026-05-04 16:07:17",{"title":4491,"description":40},{"loc":4709},"f76685fd0455c76e","AI News & Strategy Daily | Nate B Jones","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=rYqt6mMlv7o","summaries\u002Ft-c-l-d-audit-spot-ai-s-erosion-of-your-role-summary",[4719,78,79],"automation","Categorize your last two weeks' tasks as Theater (T), Commodity (C), Line (L), or Durable (D) to reveal what's AI-vulnerable, then redirect time to irreplaceable question-holding work.",[78,79],"FsSn1-u4Vyxf3C09v0a37YxjLQwRmRjp4a_s79V8qZE",{"id":4724,"title":4725,"ai":4726,"body":4731,"categories":4763,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":4764,"navigation":67,"path":4770,"published_at":4771,"question":48,"scraped_at":4772,"seo":4773,"sitemap":4774,"source_id":4775,"source_name":4776,"source_type":74,"source_url":4777,"stem":4778,"tags":4779,"thumbnail_url":48,"tldr":4781,"tweet":48,"unknown_tags":4782,"__hash__":4783},"summaries\u002Fsummaries\u002Fbuild-ai-workflows-not-just-prompts-summary.md","Build AI Workflows, Not Just Prompts",{"provider":7,"model":8,"input_tokens":4727,"output_tokens":4728,"processing_time_ms":4729,"cost_usd":4730},3835,1017,9933,0.00076865,{"type":14,"value":4732,"toc":4759},[4733,4737,4740,4746,4750,4753],[17,4734,4736],{"id":4735},"shift-from-prompts-to-complete-ai-systems","Shift from Prompts to Complete AI Systems",[22,4738,4739],{},"A model response alone isn't a product; it delivers no ongoing value without surrounding infrastructure. To make AI useful, wrap LLMs in workflows that handle input cleaning (e.g., normalizing data before feeding to the model), structured outputs (parsing JSON or schemas for reliability), retrieval (pulling relevant context via RAG), validation (checking outputs against rules), storage (persisting results in databases), and automation (triggering via cron jobs or APIs). This systems approach turns flashy demos into tools that solve daily problems, like automating report generation or code reviews, rather than one-off generations.",[22,4741,4742,4745],{},[4525,4743,4744],{},"Trade-off",": Prompts feel fast and exciting initially, but they lead to brittle, non-scalable results. Full systems take more upfront engineering but compound value over time, reducing manual work by 80%+ in repetitive tasks based on hands-on builds.",[17,4747,4749],{"id":4748},"solve-small-boring-problems-first","Solve Small, Boring Problems First",[22,4751,4752],{},"High-impact AI projects emerge from mundane pains, not grand visions. Target issues like data entry duplication, email triage, or log analysis—these have clear inputs\u002Foutputs and quick feedback loops. For example, build a script that cleans messy CSV inputs, queries an LLM for summaries, validates facts against a knowledge base, and stores results in a sheet. This beats chasing viral demos because small wins validate the workflow fast, iterate based on real use, and scale naturally.",[22,4754,4755,4758],{},[4525,4756,4757],{},"Why it works",": Boring problems have low stakes for experimentation, precise success metrics (e.g., time saved per run), and immediate ROI. Avoid hype-driven builds; they distract from production-ready automations that actually ship.",{"title":40,"searchDepth":41,"depth":41,"links":4760},[4761,4762],{"id":4735,"depth":41,"text":4736},{"id":4748,"depth":41,"text":4749},[121],{"content_references":4765,"triage":4766},[],{"relevance":4767,"novelty":63,"quality":63,"actionability":4767,"composite":4768,"reasoning":4769},5,4.55,"Category: AI Automation. The article provides a comprehensive approach to building AI workflows, emphasizing the importance of surrounding infrastructure for LLMs, which directly addresses the audience's need for practical applications in AI product development. It offers actionable steps for tackling mundane problems, making it immediately applicable for builders.","\u002Fsummaries\u002Fbuild-ai-workflows-not-just-prompts-summary","2026-05-01 12:16:24","2026-05-03 17:00:44",{"title":4725,"description":40},{"loc":4770},"ced3d9e9db6e07c2","Python in Plain English","https:\u002F\u002Fpython.plainenglish.io\u002Ffrom-ai-curiosity-to-ai-systems-i-could-actually-use-0f834e120cb0?source=rss----78073def27b8---4","summaries\u002Fbuild-ai-workflows-not-just-prompts-summary",[78,4780,79],"ai-automation","Real AI value comes from full systems—input cleaning, structured outputs, retrieval, validation, storage, and automation—around models, not isolated prompts. Start with small, boring problems.",[78,4780,79],"fjMZwkQFEa0VoyI0b3wv47aFiTBNVf7DO6QScL9igM4",{"id":4785,"title":4786,"ai":4787,"body":4792,"categories":4826,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":4827,"navigation":67,"path":4841,"published_at":4842,"question":48,"scraped_at":4843,"seo":4844,"sitemap":4845,"source_id":4846,"source_name":4847,"source_type":74,"source_url":4848,"stem":4849,"tags":4850,"thumbnail_url":48,"tldr":4852,"tweet":48,"unknown_tags":4853,"__hash__":4854},"summaries\u002Fsummaries\u002Fai-amplifies-experience-good-decisions-compound-summary.md","AI Amplifies Experience: Good Decisions Compound",{"provider":7,"model":8,"input_tokens":4788,"output_tokens":4789,"processing_time_ms":4790,"cost_usd":4791},7512,1633,21502,0.0022964,{"type":14,"value":4793,"toc":4822},[4794,4798,4805,4812,4816,4819],[17,4795,4797],{"id":4796},"experience-outweighs-raw-code-output-in-ai-era","Experience Outweighs Raw Code Output in AI Era",[22,4799,4800,4801,4804],{},"ThePrimeagen shares his crisis after 20 years of intense programming—6,000 days honing skills across Go, JavaScript, C, Rust, Zig, and 14 years mastering Vim motions. He once cranked 15,000 lines of code weekly without aids, building tools like Pacman perturbers to test JS-to-HDMI latency. Yet AI hype, with figures like Gary Tan claiming 37,000 LOC daily, sparked doubt: Is value just 'taste' (pretty UIs) or lines of code? No—AI drops code cost to near-zero, skyrocketing the premium on ",[4539,4802,4803],{},"right"," code. Bad choices compound exponentially (2^n problem, not linear), like forking Chromium, which takes 6 hours to compile on 2023-2025 hardware. AI's 'internal monologues' lead here without human guidance, ignoring alternatives like stdin\u002Fstdout over web servers or when to denormalize Boyce-Codd databases.",[22,4806,4807,4808,4811],{},"His 'two-by-four moments' crystallized this. First, walking into a literal 2x4 board while obsessing over a job switch to WebFilings (now Workiva), which shaped his engineering rigor—he fabricated fears until reality hit. Second, spotting an AI suggesting Chromium forks for a 'trivial' web issue, revealing how experience avoids such traps. These decisions, earned through 6-hour debug sessions over 5-minute manual reads, multiply AI's power: generate parsers instantly, but maintainability demands knowing ",[4539,4809,4810],{},"why",".",[17,4813,4815],{"id":4814},"gain-toxic-productivity-through-failure-not-speed","Gain 'Toxic Productivity' Through Failure, Not Speed",[22,4817,4818],{},"Forget constant shippable outputs—true productivity is 'toxic' in chasing endless experience over instant wins. ThePrimeagen's biggest lessons came from repeated failures, not friendly manuals. For juniors: AI lowers barriers (e.g., 'write an OCaml parser' works), but don't fear irrelevance. Even if you never type again, decision-making endures—why this data format? Why serialize? Pizza analogy: Infinite toppings (cheap code) yield garbage; restraint from experience crafts mastery.",[22,4820,4821],{},"He counters AGI panic (daily Twitter 'achievements') and predictions like Dario Amodei's 'coding gone in 12 months.' Good engineering judgment can't vanish; it guides AI multipliers. Ending with DHH: 'It's fun to be competent.' Ship with Neovim or VS Code themes via AI, but competence compounds over hype.",{"title":40,"searchDepth":41,"depth":41,"links":4823},[4824,4825],{"id":4796,"depth":41,"text":4797},{"id":4814,"depth":41,"text":4815},[104],{"content_references":4828,"triage":4838},[4829,4832,4836],{"type":4830,"title":4831,"context":4704},"event","Omicron",{"type":4833,"title":4834,"url":4835,"context":4698},"tool","Dell XPS","https:\u002F\u002Ftrm.sh\u002Fdell",{"type":54,"title":4837,"context":4704},"Workiva (formerly WebFilings)",{"relevance":64,"novelty":64,"quality":63,"actionability":64,"composite":4839,"reasoning":4840},3.25,"Category: AI & LLMs. The article discusses the implications of AI on software engineering and decision-making, which aligns with the audience's interest in practical applications of AI. It provides insights into the value of experience in coding, but lacks specific frameworks or actionable steps for implementation.","\u002Fsummaries\u002Fai-amplifies-experience-good-decisions-compound-summary","2026-04-30 15:41:32","2026-05-03 16:49:48",{"title":4786,"description":40},{"loc":4841},"5f6e4585d4499a07","The PrimeTime","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=V-ZvAw_VNk4","summaries\u002Fai-amplifies-experience-good-decisions-compound-summary",[4851,79,78],"software-engineering","After 20 years and 6,000 days of coding, ThePrimeagen feared AI devalued his skills—but realized experience prevents catastrophic choices like forking Chromium, making right decisions exponentially more valuable as code becomes cheap.",[4851,79,78],"e1zeJdpUzVZzn6tet_HlxkN0hgiCX3aLEsnhJW7qvL4",{"id":4856,"title":4857,"ai":4858,"body":4863,"categories":4912,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":4913,"navigation":67,"path":4926,"published_at":4927,"question":48,"scraped_at":4928,"seo":4929,"sitemap":4930,"source_id":4931,"source_name":4932,"source_type":74,"source_url":4933,"stem":4934,"tags":4935,"thumbnail_url":48,"tldr":4937,"tweet":48,"unknown_tags":4938,"__hash__":4939},"summaries\u002Fsummaries\u002Frun-claude-code-free-with-local-ollama-gemma-4-summary.md","Run Claude Code Free with Local Ollama + Gemma 4",{"provider":7,"model":8,"input_tokens":4859,"output_tokens":4860,"processing_time_ms":4861,"cost_usd":4862},7879,1788,15951,0.0024473,{"type":14,"value":4864,"toc":4907},[4865,4869,4872,4876,4900,4904],[17,4866,4868],{"id":4867},"local-architecture-powers-free-claude-code","Local Architecture Powers Free Claude Code",[22,4870,4871],{},"Claude Code CLI acts as a car with swappable engines: normally powered by Anthropic's paid cloud API (Claude Opus\u002FSonnet), but you can plug in Ollama's local server running open-source models like Google's Gemma 4 E2B. Ollama downloads and serves models (e.g., Gemma, Llama, Qwen, Mistral) on localhost:11434, mimicking OpenAI-compatible APIs. Gemma 4 E2B (7.2GB, runs on 8GB RAM, 128K context window, multimodal for images) uses Gemini 3 research under Apache 2.0 license—full commercial use, no restrictions. Its 31B dense variant ranks #3 on Arena AI leaderboard, beating DeepSeek and Qwen. Swap keeps Claude Code's file reading, tool calling, terminal commands, and codebase management, but routes requests locally instead of cloud. Gains: zero cost, data privacy (nothing leaves your machine), no rate limits, offline use, no vendor lock-in.",[17,4873,4875],{"id":4874},"essential-setup-delivers-production-ready-local-ai-dev","Essential Setup Delivers Production-Ready Local AI Dev",[22,4877,4878,4879,4883,4884,4887,4888,4891,4892,4895,4896,4899],{},"Download Ollama from ollama.com (Mac\u002FWindows\u002FLinux). Pull Gemma 4 E2B: ",[4880,4881,4882],"code",{},"ollama run gemma2e2b"," (downloads ~7.2GB). Test in terminal: chat confirms thinking process and responses (e.g., \"capital of US is Washington, D.C.\"). Critical: Set context window to 65,536 tokens (",[4880,4885,4886],{},"ollama context-length 65536",")—default is too small for Claude Code to read files, plan, and code effectively; skipping causes crashes or garbage. In Cursor\u002FVS Code\u002Fany IDE terminal (or standalone): ",[4880,4889,4890],{},"ollama launch claude-code",", select ",[4880,4893,4894],{},"gemma2e2b",". No Anthropic API key needed—auto-configures. Switch models anytime: ",[4880,4897,4898],{},"\u002Fmodel gemma2e2b"," or larger like 26B. Example: \"Break down Claude.md file\"—reads, analyzes locally. Handles simple\u002Fmedium tasks like functions, features, scaffolding.",[17,4901,4903],{"id":4902},"speed-and-complexity-tradeoffs-guide-smart-hybrid-use","Speed and Complexity Tradeoffs Guide Smart Hybrid Use",[22,4905,4906],{},"Local E2B lags cloud (30s-5min per complex response vs. seconds), especially on laptops; hardware dictates speed. Excels for learning, side projects, prototyping where token costs matter—keeps API bills at zero. Struggles with multi-file debugging across 10+ files (smaller effective context vs. Claude Opus 3.5 Sonnet 3.5), lacking tool choice, prompt caching, URL images. Hybrid wins: local for daily\u002Flow-stakes coding, paid API for production-scale codebases. Troubleshoot installs\u002Ferrors by prompting local models (Claude\u002FChatGPT). Runs on phones too (no net\u002Fairplane mode).",{"title":40,"searchDepth":41,"depth":41,"links":4908},[4909,4910,4911],{"id":4867,"depth":41,"text":4868},{"id":4874,"depth":41,"text":4875},{"id":4902,"depth":41,"text":4903},[],{"content_references":4914,"triage":4924},[4915,4918,4921],{"type":4833,"title":4916,"url":4917,"context":4704},"Ollama","https:\u002F\u002Follama.com",{"type":4833,"title":4919,"author":4920,"context":4698},"Gemma 4","Google",{"type":4833,"title":4922,"author":4923,"context":4704},"Claude Code","Anthropic",{"relevance":4767,"novelty":63,"quality":63,"actionability":4767,"composite":4768,"reasoning":4925},"Category: AI & LLMs. The article provides a detailed guide on using local AI models, specifically Gemma 4 E2B, to replace a paid API, addressing a key pain point for developers looking for cost-effective solutions. It includes specific commands and setup instructions, making it immediately actionable for the audience.","\u002Fsummaries\u002Frun-claude-code-free-with-local-ollama-gemma-4-summary","2026-04-19 14:44:04","2026-04-21 15:16:02",{"title":4857,"description":40},{"loc":4926},"8130a17b3a352f70","Nick Puru | AI Automation","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=GTuwZT10gPg","summaries\u002Frun-claude-code-free-with-local-ollama-gemma-4-summary",[4936,78,79],"ai-tools","Replace Anthropic's paid Claude API with Google's free Gemma 4 E2B model running locally via Ollama in Claude Code CLI—no API keys, zero costs, full privacy, works offline.",[78,79],"iG1BGN8wEVp8W0_0aLDpW1N67FDsP0hJAX-r_bLOlc0"]