[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-context-engineering-ai-s-new-literacy-over-prompts-summary":3,"summaries-facets-categories":134,"summary-related-context-engineering-ai-s-new-literacy-over-prompts-summary":3719},{"id":4,"title":5,"ai":6,"body":13,"categories":111,"created_at":113,"date_modified":113,"description":105,"extension":114,"faq":113,"featured":115,"kicker_label":113,"meta":116,"navigation":117,"path":118,"published_at":119,"question":113,"scraped_at":113,"seo":120,"sitemap":121,"source_id":122,"source_name":123,"source_type":124,"source_url":125,"stem":126,"tags":127,"thumbnail_url":113,"tldr":131,"tweet":113,"unknown_tags":132,"__hash__":133},"summaries\u002Fsummaries\u002Fcontext-engineering-ai-s-new-literacy-over-prompts-summary.md","Context Engineering: AI's New Literacy Over Prompts",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",8815,1681,15219,0.0021331,{"type":14,"value":15,"toc":104},"minimark",[16,21,25,28,32,35,70,73,77,80,83,95,98,101],[17,18,20],"h2",{"id":19},"ais-context-limitations-demand-engineering-over-prompting","AI's Context Limitations Demand Engineering Over Prompting",[22,23,24],"p",{},"Language models suffer from a U-shaped performance curve on long inputs: they prioritize the start (primacy bias) and end (recency bias) while ignoring the middle, as shown in Liu et al. (2023) and a 2025 study linking this to training data. Humans exhibit the same primacy-recency effect in memory. Attention is zero-sum—irrelevant tokens act as an 'attention sink,' diluting focus on key info (per 2023 research). Bigger windows like Claude's 1M tokens amplify errors: too little context leaves AI ignorant; too much drowns it in noise. Prompt engineering tweaks one interaction; context engineering structures the entire environment (files, rules, identity) for every interaction, turning random chats into a self-running 'lab.'",[22,26,27],{},"Andrej Karpathy (ex-OpenAI) calls it 'filling the context window with just the right information.' Anthropic's guide confirms the balance is non-trivial. Unstructured blobs force AI to infer relevance; modular setups ensure it starts from intelligence, not ignorance.",[17,29,31],{"id":30},"dexter-protocol-5-rules-to-bulletproof-context","Dexter Protocol: 5 Rules to Bulletproof Context",[22,33,34],{},"Counter these flaws with these rules, inspired by Dexter's organized lab vs. Dee Dee's chaos:",[36,37,38,46,52,58,64],"ol",{},[39,40,41,45],"li",{},[42,43,44],"strong",{},"Label buttons",": Every file needs a header stating purpose, when to load, and usage (e.g., '# VOICE PROFILE — ROBOTS ATE MY HOMEWORK ## Purpose: Load for ALL writing tasks'). Front-load core rules (first 10-20 lines), details in middle, constraints last. This prevents AI from parsing unstructured streams like '800 words of stream-of-consciousness.'",[39,47,48,51],{},[42,49,50],{},"Lock doors",": Modularize to contain damage—separate voice (300 lines max, from 1,200), brand, strategy, projects. Load only relevant files per task; zero-sum attention means less noise boosts quality.",[39,53,54,57],{},[42,55,56],{},"Front-load the formula",": Place non-negotiable rules (e.g., 'Never use em dashes') in first 10 lines, not buried (line 847). U-shape favors start\u002Fend.",[39,59,60,63],{},[42,61,62],{},"Modules over monoliths",": Limit files to \u003Cfew hundred lines: identity.md (always load, \u003C200 lines, who\u002Fwhat\u002Fexpertise); voice.md (writing only); current-projects.md (work only, decisions\u002Fnext actions). No 3,000-word prompts.",[39,65,66,69],{},[42,67,68],{},"Lab runs itself",": Use a routing file (router.md or SKILL.md, \u003C50 lines) as index: always loaded, directs by task ('writing → identity + voice'; 'strategy → identity + projects'; unclear → identity + clarify). Enables progressive disclosure—small token cost, prevents overload.",[22,71,72],{},"These cut setup from 20 minutes to zero, eliminate drift (e.g., AI nailing first 3 paragraphs then failing).",[17,74,76],{"id":75},"_3-file-starter-prompts-80-gains-in-one-afternoon","3-File Starter + Prompts: 80% Gains in One Afternoon",[22,78,79],{},"Audit first (Prompt 1): Analyze chat history for repeated\u002Fmissing\u002Fwasted context and position issues; outputs priority file list.",[22,81,82],{},"Build modules (Prompt 2): Feed raw notes into AI to generate:",[84,85,86,89,92],"ul",{},[39,87,88],{},"identity.md (\u003C200 lines, front-load top 20).",[39,90,91],{},"voice.md (rules\u002Fexamples\u002Fconstraints).",[39,93,94],{},"current-projects.md (decisions\u002Factions\u002Fdeadlines).\nEach with headers, scannable sections, 'do NOT' ends.",[22,96,97],{},"Route it (Prompt 3): Generate router.md listing files, task logic, context check before tasks.",[22,99,100],{},"Paste all into Claude Projects\u002Fcustom GPT\u002FCursor. Test: Ask AI 'What do you know about me\u002Fvoice\u002Fproject?'—fixes gaps. Maintenance needed: Update files as projects shift. Doesn't replace strategy\u002Ftaste; amplifies good thinking. Next: Layer skills (task workflows) atop for repeatable jobs.",[22,102,103],{},"Limits: Won't fix bad inputs; files stale without updates. Outcomes: AI executes your strategy faster, with taste-applied outputs, no re-teaching.",{"title":105,"searchDepth":106,"depth":106,"links":107},"",2,[108,109,110],{"id":19,"depth":106,"text":20},{"id":30,"depth":106,"text":31},{"id":75,"depth":106,"text":76},[112],"AI & LLMs",null,"md",false,{},true,"\u002Fsummaries\u002Fcontext-engineering-ai-s-new-literacy-over-prompts-summary","2026-04-08 21:21:17",{"title":5,"description":105},{"loc":118},"360ad8315d6d75be","Robots Ate My Homework","article","https:\u002F\u002Funknown","summaries\u002Fcontext-engineering-ai-s-new-literacy-over-prompts-summary",[128,129,130],"prompt-engineering","ai-llms","ai-automation","Replace prompt engineering with context engineering—build modular files (identity.md, voice.md, current-projects.md) and a routing file to front-load critical info, avoiding AI's U-shaped attention loss and attention sinks for consistent, intelligent outputs every session.",[129,130],"1eXcKuz-MqDP55UHTk3M3X-D9zZxX9uVUcBxZT4UXfw",[135,138,141,143,146,149,151,153,155,157,159,161,164,166,168,170,172,174,176,178,180,182,185,188,190,192,195,197,199,202,204,206,208,210,212,214,216,218,220,222,224,226,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258,260,262,264,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,459,461,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717],{"categories":136},[137],"Developer Productivity",{"categories":139},[140],"Business & SaaS",{"categories":142},[112],{"categories":144},[145],"AI Automation",{"categories":147},[148],"Product Strategy",{"categories":150},[112],{"categories":152},[137],{"categories":154},[140],{"categories":156},[],{"categories":158},[112],{"categories":160},[],{"categories":162},[163],"AI News & Trends",{"categories":165},[145],{"categories":167},[163],{"categories":169},[145],{"categories":171},[145],{"categories":173},[112],{"categories":175},[112],{"categories":177},[163],{"categories":179},[112],{"categories":181},[],{"categories":183},[184],"Design & Frontend",{"categories":186},[187],"Data Science & Visualization",{"categories":189},[163],{"categories":191},[],{"categories":193},[194],"Software Engineering",{"categories":196},[112],{"categories":198},[145],{"categories":200},[201],"Marketing & Growth",{"categories":203},[112],{"categories":205},[145],{"categories":207},[],{"categories":209},[],{"categories":211},[184],{"categories":213},[145],{"categories":215},[137],{"categories":217},[184],{"categories":219},[112],{"categories":221},[145],{"categories":223},[163],{"categories":225},[],{"categories":227},[],{"categories":229},[145],{"categories":231},[194],{"categories":233},[],{"categories":235},[140],{"categories":237},[],{"categories":239},[],{"categories":241},[145],{"categories":243},[145],{"categories":245},[112],{"categories":247},[],{"categories":249},[194],{"categories":251},[],{"categories":253},[],{"categories":255},[],{"categories":257},[112],{"categories":259},[201],{"categories":261},[184],{"categories":263},[184],{"categories":265},[112],{"categories":267},[145],{"categories":269},[112],{"categories":271},[112],{"categories":273},[145],{"categories":275},[145],{"categories":277},[187],{"categories":279},[163],{"categories":281},[145],{"categories":283},[201],{"categories":285},[145],{"categories":287},[148],{"categories":289},[],{"categories":291},[145],{"categories":293},[],{"categories":295},[145],{"categories":297},[194],{"categories":299},[184],{"categories":301},[112],{"categories":303},[],{"categories":305},[],{"categories":307},[145],{"categories":309},[],{"categories":311},[112],{"categories":313},[],{"categories":315},[137],{"categories":317},[194],{"categories":319},[140],{"categories":321},[163],{"categories":323},[112],{"categories":325},[],{"categories":327},[112],{"categories":329},[],{"categories":331},[194],{"categories":333},[187],{"categories":335},[],{"categories":337},[112],{"categories":339},[184],{"categories":341},[],{"categories":343},[184],{"categories":345},[145],{"categories":347},[],{"categories":349},[145],{"categories":351},[163],{"categories":353},[140],{"categories":355},[112],{"categories":357},[],{"categories":359},[145],{"categories":361},[112],{"categories":363},[148],{"categories":365},[],{"categories":367},[112],{"categories":369},[145],{"categories":371},[145],{"categories":373},[],{"categories":375},[187],{"categories":377},[112],{"categories":379},[],{"categories":381},[137],{"categories":383},[140],{"categories":385},[112],{"categories":387},[145],{"categories":389},[194],{"categories":391},[112],{"categories":393},[],{"categories":395},[],{"categories":397},[112],{"categories":399},[],{"categories":401},[184],{"categories":403},[],{"categories":405},[112],{"categories":407},[],{"categories":409},[145],{"categories":411},[112],{"categories":413},[184],{"categories":415},[],{"categories":417},[112],{"categories":419},[112],{"categories":421},[140],{"categories":423},[145],{"categories":425},[112],{"categories":427},[184],{"categories":429},[145],{"categories":431},[],{"categories":433},[],{"categories":435},[163],{"categories":437},[],{"categories":439},[112],{"categories":441},[140,201],{"categories":443},[],{"categories":445},[112],{"categories":447},[],{"categories":449},[],{"categories":451},[112],{"categories":453},[],{"categories":455},[112],{"categories":457},[458],"DevOps & Cloud",{"categories":460},[],{"categories":462},[163],{"categories":464},[184],{"categories":466},[],{"categories":468},[163],{"categories":470},[163],{"categories":472},[112],{"categories":474},[201],{"categories":476},[],{"categories":478},[140],{"categories":480},[],{"categories":482},[112,458],{"categories":484},[112],{"categories":486},[112],{"categories":488},[145],{"categories":490},[112,194],{"categories":492},[187],{"categories":494},[112],{"categories":496},[201],{"categories":498},[145],{"categories":500},[145],{"categories":502},[],{"categories":504},[145],{"categories":506},[112,140],{"categories":508},[],{"categories":510},[184],{"categories":512},[184],{"categories":514},[],{"categories":516},[],{"categories":518},[163],{"categories":520},[],{"categories":522},[137],{"categories":524},[194],{"categories":526},[112],{"categories":528},[184],{"categories":530},[145],{"categories":532},[194],{"categories":534},[163],{"categories":536},[184],{"categories":538},[],{"categories":540},[112],{"categories":542},[112],{"categories":544},[112],{"categories":546},[163],{"categories":548},[137],{"categories":550},[112],{"categories":552},[145],{"categories":554},[458],{"categories":556},[184],{"categories":558},[145],{"categories":560},[],{"categories":562},[],{"categories":564},[184],{"categories":566},[163],{"categories":568},[187],{"categories":570},[],{"categories":572},[112],{"categories":574},[112],{"categories":576},[140],{"categories":578},[112],{"categories":580},[112],{"categories":582},[163],{"categories":584},[],{"categories":586},[145],{"categories":588},[194],{"categories":590},[],{"categories":592},[112],{"categories":594},[112],{"categories":596},[145],{"categories":598},[],{"categories":600},[],{"categories":602},[112],{"categories":604},[],{"categories":606},[140],{"categories":608},[145],{"categories":610},[],{"categories":612},[137],{"categories":614},[112],{"categories":616},[140],{"categories":618},[163],{"categories":620},[],{"categories":622},[],{"categories":624},[],{"categories":626},[163],{"categories":628},[163],{"categories":630},[],{"categories":632},[],{"categories":634},[140],{"categories":636},[],{"categories":638},[],{"categories":640},[137],{"categories":642},[],{"categories":644},[201],{"categories":646},[145],{"categories":648},[140],{"categories":650},[145],{"categories":652},[194],{"categories":654},[],{"categories":656},[148],{"categories":658},[184],{"categories":660},[194],{"categories":662},[112],{"categories":664},[145],{"categories":666},[140],{"categories":668},[112],{"categories":670},[],{"categories":672},[],{"categories":674},[194],{"categories":676},[187],{"categories":678},[148],{"categories":680},[145],{"categories":682},[112],{"categories":684},[],{"categories":686},[458],{"categories":688},[],{"categories":690},[145],{"categories":692},[],{"categories":694},[],{"categories":696},[112],{"categories":698},[184],{"categories":700},[201],{"categories":702},[145],{"categories":704},[],{"categories":706},[137],{"categories":708},[],{"categories":710},[163],{"categories":712},[112,458],{"categories":714},[163],{"categories":716},[112],{"categories":718},[140],{"categories":720},[112],{"categories":722},[],{"categories":724},[140],{"categories":726},[],{"categories":728},[194],{"categories":730},[184],{"categories":732},[163],{"categories":734},[187],{"categories":736},[137],{"categories":738},[112],{"categories":740},[194],{"categories":742},[],{"categories":744},[],{"categories":746},[148],{"categories":748},[],{"categories":750},[112],{"categories":752},[],{"categories":754},[184],{"categories":756},[184],{"categories":758},[184],{"categories":760},[],{"categories":762},[],{"categories":764},[163],{"categories":766},[145],{"categories":768},[112],{"categories":770},[112],{"categories":772},[112],{"categories":774},[140],{"categories":776},[112],{"categories":778},[],{"categories":780},[194],{"categories":782},[194],{"categories":784},[140],{"categories":786},[],{"categories":788},[112],{"categories":790},[112],{"categories":792},[140],{"categories":794},[163],{"categories":796},[201],{"categories":798},[145],{"categories":800},[],{"categories":802},[184],{"categories":804},[],{"categories":806},[112],{"categories":808},[],{"categories":810},[140],{"categories":812},[145],{"categories":814},[],{"categories":816},[458],{"categories":818},[187],{"categories":820},[194],{"categories":822},[201],{"categories":824},[194],{"categories":826},[145],{"categories":828},[],{"categories":830},[],{"categories":832},[145],{"categories":834},[137],{"categories":836},[145],{"categories":838},[148],{"categories":840},[140],{"categories":842},[],{"categories":844},[112],{"categories":846},[148],{"categories":848},[112],{"categories":850},[112],{"categories":852},[201],{"categories":854},[184],{"categories":856},[145],{"categories":858},[],{"categories":860},[],{"categories":862},[458],{"categories":864},[194],{"categories":866},[],{"categories":868},[145],{"categories":870},[112],{"categories":872},[184,112],{"categories":874},[137],{"categories":876},[],{"categories":878},[112],{"categories":880},[137],{"categories":882},[184],{"categories":884},[145],{"categories":886},[194],{"categories":888},[],{"categories":890},[112],{"categories":892},[],{"categories":894},[137],{"categories":896},[],{"categories":898},[145],{"categories":900},[148],{"categories":902},[112],{"categories":904},[112],{"categories":906},[184],{"categories":908},[145],{"categories":910},[458],{"categories":912},[184],{"categories":914},[145],{"categories":916},[112],{"categories":918},[112],{"categories":920},[112],{"categories":922},[163],{"categories":924},[],{"categories":926},[148],{"categories":928},[145],{"categories":930},[184],{"categories":932},[145],{"categories":934},[194],{"categories":936},[184],{"categories":938},[145],{"categories":940},[163],{"categories":942},[],{"categories":944},[112],{"categories":946},[184],{"categories":948},[112],{"categories":950},[137],{"categories":952},[163],{"categories":954},[112],{"categories":956},[201],{"categories":958},[112],{"categories":960},[112],{"categories":962},[145],{"categories":964},[145],{"categories":966},[112],{"categories":968},[145],{"categories":970},[184],{"categories":972},[112],{"categories":974},[],{"categories":976},[],{"categories":978},[194],{"categories":980},[],{"categories":982},[137],{"categories":984},[458],{"categories":986},[],{"categories":988},[137],{"categories":990},[140],{"categories":992},[201],{"categories":994},[],{"categories":996},[140],{"categories":998},[],{"categories":1000},[],{"categories":1002},[],{"categories":1004},[],{"categories":1006},[],{"categories":1008},[112],{"categories":1010},[145],{"categories":1012},[458],{"categories":1014},[137],{"categories":1016},[112],{"categories":1018},[194],{"categories":1020},[148],{"categories":1022},[112],{"categories":1024},[201],{"categories":1026},[112],{"categories":1028},[112],{"categories":1030},[112],{"categories":1032},[112,137],{"categories":1034},[194],{"categories":1036},[194],{"categories":1038},[184],{"categories":1040},[112],{"categories":1042},[],{"categories":1044},[],{"categories":1046},[],{"categories":1048},[194],{"categories":1050},[187],{"categories":1052},[163],{"categories":1054},[184],{"categories":1056},[],{"categories":1058},[112],{"categories":1060},[112],{"categories":1062},[],{"categories":1064},[],{"categories":1066},[145],{"categories":1068},[112],{"categories":1070},[140],{"categories":1072},[],{"categories":1074},[137],{"categories":1076},[112],{"categories":1078},[137],{"categories":1080},[112],{"categories":1082},[194],{"categories":1084},[201],{"categories":1086},[112,184],{"categories":1088},[163],{"categories":1090},[184],{"categories":1092},[],{"categories":1094},[458],{"categories":1096},[184],{"categories":1098},[145],{"categories":1100},[],{"categories":1102},[],{"categories":1104},[],{"categories":1106},[],{"categories":1108},[194],{"categories":1110},[145],{"categories":1112},[145],{"categories":1114},[458],{"categories":1116},[112],{"categories":1118},[112],{"categories":1120},[112],{"categories":1122},[],{"categories":1124},[184],{"categories":1126},[],{"categories":1128},[],{"categories":1130},[145],{"categories":1132},[],{"categories":1134},[],{"categories":1136},[201],{"categories":1138},[201],{"categories":1140},[145],{"categories":1142},[],{"categories":1144},[112],{"categories":1146},[112],{"categories":1148},[194],{"categories":1150},[184],{"categories":1152},[184],{"categories":1154},[145],{"categories":1156},[137],{"categories":1158},[112],{"categories":1160},[184],{"categories":1162},[184],{"categories":1164},[145],{"categories":1166},[145],{"categories":1168},[112],{"categories":1170},[],{"categories":1172},[],{"categories":1174},[112],{"categories":1176},[145],{"categories":1178},[163],{"categories":1180},[194],{"categories":1182},[137],{"categories":1184},[112],{"categories":1186},[],{"categories":1188},[145],{"categories":1190},[145],{"categories":1192},[],{"categories":1194},[137],{"categories":1196},[112],{"categories":1198},[137],{"categories":1200},[137],{"categories":1202},[],{"categories":1204},[],{"categories":1206},[145],{"categories":1208},[145],{"categories":1210},[112],{"categories":1212},[112],{"categories":1214},[163],{"categories":1216},[187],{"categories":1218},[148],{"categories":1220},[163],{"categories":1222},[184],{"categories":1224},[],{"categories":1226},[163],{"categories":1228},[],{"categories":1230},[],{"categories":1232},[],{"categories":1234},[],{"categories":1236},[194],{"categories":1238},[187],{"categories":1240},[],{"categories":1242},[112],{"categories":1244},[112],{"categories":1246},[187],{"categories":1248},[194],{"categories":1250},[],{"categories":1252},[],{"categories":1254},[145],{"categories":1256},[163],{"categories":1258},[163],{"categories":1260},[145],{"categories":1262},[137],{"categories":1264},[112,458],{"categories":1266},[],{"categories":1268},[184],{"categories":1270},[137],{"categories":1272},[145],{"categories":1274},[184],{"categories":1276},[],{"categories":1278},[145],{"categories":1280},[145],{"categories":1282},[112],{"categories":1284},[201],{"categories":1286},[194],{"categories":1288},[184],{"categories":1290},[],{"categories":1292},[145],{"categories":1294},[112],{"categories":1296},[145],{"categories":1298},[145],{"categories":1300},[145],{"categories":1302},[201],{"categories":1304},[145],{"categories":1306},[112],{"categories":1308},[],{"categories":1310},[201],{"categories":1312},[163],{"categories":1314},[145],{"categories":1316},[],{"categories":1318},[],{"categories":1320},[112],{"categories":1322},[145],{"categories":1324},[163],{"categories":1326},[145],{"categories":1328},[],{"categories":1330},[],{"categories":1332},[],{"categories":1334},[145],{"categories":1336},[],{"categories":1338},[],{"categories":1340},[187],{"categories":1342},[112],{"categories":1344},[187],{"categories":1346},[163],{"categories":1348},[112],{"categories":1350},[112],{"categories":1352},[145],{"categories":1354},[112],{"categories":1356},[],{"categories":1358},[],{"categories":1360},[458],{"categories":1362},[],{"categories":1364},[],{"categories":1366},[137],{"categories":1368},[],{"categories":1370},[],{"categories":1372},[],{"categories":1374},[],{"categories":1376},[194],{"categories":1378},[163],{"categories":1380},[201],{"categories":1382},[140],{"categories":1384},[112],{"categories":1386},[112],{"categories":1388},[140],{"categories":1390},[],{"categories":1392},[184],{"categories":1394},[145],{"categories":1396},[140],{"categories":1398},[112],{"categories":1400},[112],{"categories":1402},[137],{"categories":1404},[],{"categories":1406},[137],{"categories":1408},[112],{"categories":1410},[201],{"categories":1412},[145],{"categories":1414},[163],{"categories":1416},[140],{"categories":1418},[112],{"categories":1420},[145],{"categories":1422},[],{"categories":1424},[112],{"categories":1426},[137],{"categories":1428},[112],{"categories":1430},[],{"categories":1432},[163],{"categories":1434},[112],{"categories":1436},[],{"categories":1438},[140],{"categories":1440},[112],{"categories":1442},[],{"categories":1444},[],{"categories":1446},[],{"categories":1448},[112],{"categories":1450},[],{"categories":1452},[458],{"categories":1454},[112],{"categories":1456},[],{"categories":1458},[112],{"categories":1460},[112],{"categories":1462},[112],{"categories":1464},[112,458],{"categories":1466},[112],{"categories":1468},[112],{"categories":1470},[184],{"categories":1472},[145],{"categories":1474},[],{"categories":1476},[145],{"categories":1478},[112],{"categories":1480},[112],{"categories":1482},[112],{"categories":1484},[137],{"categories":1486},[137],{"categories":1488},[194],{"categories":1490},[184],{"categories":1492},[145],{"categories":1494},[],{"categories":1496},[112],{"categories":1498},[163],{"categories":1500},[112],{"categories":1502},[140],{"categories":1504},[],{"categories":1506},[458],{"categories":1508},[184],{"categories":1510},[184],{"categories":1512},[145],{"categories":1514},[163],{"categories":1516},[145],{"categories":1518},[112],{"categories":1520},[],{"categories":1522},[112],{"categories":1524},[],{"categories":1526},[],{"categories":1528},[112],{"categories":1530},[112],{"categories":1532},[112],{"categories":1534},[145],{"categories":1536},[112],{"categories":1538},[],{"categories":1540},[187],{"categories":1542},[145],{"categories":1544},[],{"categories":1546},[],{"categories":1548},[112],{"categories":1550},[163],{"categories":1552},[],{"categories":1554},[184],{"categories":1556},[458],{"categories":1558},[163],{"categories":1560},[194],{"categories":1562},[194],{"categories":1564},[163],{"categories":1566},[163],{"categories":1568},[458],{"categories":1570},[],{"categories":1572},[163],{"categories":1574},[112],{"categories":1576},[137],{"categories":1578},[163],{"categories":1580},[],{"categories":1582},[187],{"categories":1584},[163],{"categories":1586},[194],{"categories":1588},[163],{"categories":1590},[458],{"categories":1592},[112],{"categories":1594},[112],{"categories":1596},[],{"categories":1598},[140],{"categories":1600},[],{"categories":1602},[],{"categories":1604},[112],{"categories":1606},[112],{"categories":1608},[112],{"categories":1610},[112],{"categories":1612},[],{"categories":1614},[187],{"categories":1616},[137],{"categories":1618},[],{"categories":1620},[112],{"categories":1622},[112],{"categories":1624},[458],{"categories":1626},[458],{"categories":1628},[],{"categories":1630},[145],{"categories":1632},[163],{"categories":1634},[163],{"categories":1636},[112],{"categories":1638},[145],{"categories":1640},[],{"categories":1642},[184],{"categories":1644},[112],{"categories":1646},[112],{"categories":1648},[],{"categories":1650},[],{"categories":1652},[458],{"categories":1654},[112],{"categories":1656},[194],{"categories":1658},[140],{"categories":1660},[112],{"categories":1662},[],{"categories":1664},[145],{"categories":1666},[137],{"categories":1668},[137],{"categories":1670},[],{"categories":1672},[112],{"categories":1674},[184],{"categories":1676},[145],{"categories":1678},[],{"categories":1680},[112],{"categories":1682},[112],{"categories":1684},[145],{"categories":1686},[],{"categories":1688},[145],{"categories":1690},[194],{"categories":1692},[],{"categories":1694},[112],{"categories":1696},[],{"categories":1698},[112],{"categories":1700},[],{"categories":1702},[112],{"categories":1704},[112],{"categories":1706},[],{"categories":1708},[112],{"categories":1710},[163],{"categories":1712},[112],{"categories":1714},[112],{"categories":1716},[137],{"categories":1718},[112],{"categories":1720},[163],{"categories":1722},[145],{"categories":1724},[],{"categories":1726},[112],{"categories":1728},[201],{"categories":1730},[],{"categories":1732},[],{"categories":1734},[],{"categories":1736},[137],{"categories":1738},[163],{"categories":1740},[145],{"categories":1742},[112],{"categories":1744},[184],{"categories":1746},[145],{"categories":1748},[],{"categories":1750},[145],{"categories":1752},[],{"categories":1754},[112],{"categories":1756},[145],{"categories":1758},[112],{"categories":1760},[],{"categories":1762},[112],{"categories":1764},[112],{"categories":1766},[163],{"categories":1768},[184],{"categories":1770},[145],{"categories":1772},[184],{"categories":1774},[140],{"categories":1776},[],{"categories":1778},[],{"categories":1780},[112],{"categories":1782},[137],{"categories":1784},[163],{"categories":1786},[],{"categories":1788},[],{"categories":1790},[194],{"categories":1792},[184],{"categories":1794},[],{"categories":1796},[112],{"categories":1798},[],{"categories":1800},[201],{"categories":1802},[112],{"categories":1804},[458],{"categories":1806},[194],{"categories":1808},[],{"categories":1810},[145],{"categories":1812},[112],{"categories":1814},[145],{"categories":1816},[145],{"categories":1818},[112],{"categories":1820},[],{"categories":1822},[137],{"categories":1824},[112],{"categories":1826},[140],{"categories":1828},[194],{"categories":1830},[184],{"categories":1832},[],{"categories":1834},[],{"categories":1836},[],{"categories":1838},[145],{"categories":1840},[184],{"categories":1842},[163],{"categories":1844},[112],{"categories":1846},[163],{"categories":1848},[184],{"categories":1850},[],{"categories":1852},[184],{"categories":1854},[163],{"categories":1856},[140],{"categories":1858},[112],{"categories":1860},[163],{"categories":1862},[201],{"categories":1864},[],{"categories":1866},[],{"categories":1868},[187],{"categories":1870},[112,194],{"categories":1872},[163],{"categories":1874},[112],{"categories":1876},[145],{"categories":1878},[145],{"categories":1880},[112],{"categories":1882},[],{"categories":1884},[194],{"categories":1886},[112],{"categories":1888},[187],{"categories":1890},[145],{"categories":1892},[201],{"categories":1894},[458],{"categories":1896},[],{"categories":1898},[137],{"categories":1900},[145],{"categories":1902},[145],{"categories":1904},[194],{"categories":1906},[112],{"categories":1908},[112],{"categories":1910},[],{"categories":1912},[],{"categories":1914},[],{"categories":1916},[458],{"categories":1918},[163],{"categories":1920},[112],{"categories":1922},[112],{"categories":1924},[112],{"categories":1926},[],{"categories":1928},[187],{"categories":1930},[140],{"categories":1932},[],{"categories":1934},[145],{"categories":1936},[458],{"categories":1938},[],{"categories":1940},[184],{"categories":1942},[184],{"categories":1944},[],{"categories":1946},[194],{"categories":1948},[184],{"categories":1950},[112],{"categories":1952},[],{"categories":1954},[163],{"categories":1956},[112],{"categories":1958},[184],{"categories":1960},[145],{"categories":1962},[163],{"categories":1964},[],{"categories":1966},[145],{"categories":1968},[184],{"categories":1970},[112],{"categories":1972},[],{"categories":1974},[112],{"categories":1976},[112],{"categories":1978},[458],{"categories":1980},[163],{"categories":1982},[187],{"categories":1984},[187],{"categories":1986},[],{"categories":1988},[],{"categories":1990},[],{"categories":1992},[145],{"categories":1994},[194],{"categories":1996},[194],{"categories":1998},[],{"categories":2000},[],{"categories":2002},[112],{"categories":2004},[],{"categories":2006},[145],{"categories":2008},[112],{"categories":2010},[],{"categories":2012},[112],{"categories":2014},[140],{"categories":2016},[112],{"categories":2018},[201],{"categories":2020},[145],{"categories":2022},[112],{"categories":2024},[194],{"categories":2026},[163],{"categories":2028},[145],{"categories":2030},[],{"categories":2032},[163],{"categories":2034},[145],{"categories":2036},[145],{"categories":2038},[],{"categories":2040},[140],{"categories":2042},[145],{"categories":2044},[],{"categories":2046},[112],{"categories":2048},[137],{"categories":2050},[163],{"categories":2052},[458],{"categories":2054},[145],{"categories":2056},[145],{"categories":2058},[137],{"categories":2060},[112],{"categories":2062},[],{"categories":2064},[],{"categories":2066},[184],{"categories":2068},[112,140],{"categories":2070},[],{"categories":2072},[137],{"categories":2074},[187],{"categories":2076},[112],{"categories":2078},[194],{"categories":2080},[112],{"categories":2082},[145],{"categories":2084},[112],{"categories":2086},[112],{"categories":2088},[163],{"categories":2090},[145],{"categories":2092},[],{"categories":2094},[],{"categories":2096},[145],{"categories":2098},[112],{"categories":2100},[458],{"categories":2102},[],{"categories":2104},[112],{"categories":2106},[145],{"categories":2108},[],{"categories":2110},[112],{"categories":2112},[201],{"categories":2114},[187],{"categories":2116},[145],{"categories":2118},[112],{"categories":2120},[458],{"categories":2122},[],{"categories":2124},[112],{"categories":2126},[201],{"categories":2128},[184],{"categories":2130},[112],{"categories":2132},[],{"categories":2134},[201],{"categories":2136},[163],{"categories":2138},[112],{"categories":2140},[112],{"categories":2142},[137],{"categories":2144},[],{"categories":2146},[],{"categories":2148},[184],{"categories":2150},[112],{"categories":2152},[187],{"categories":2154},[201],{"categories":2156},[201],{"categories":2158},[163],{"categories":2160},[],{"categories":2162},[],{"categories":2164},[112],{"categories":2166},[],{"categories":2168},[112,194],{"categories":2170},[163],{"categories":2172},[145],{"categories":2174},[194],{"categories":2176},[112],{"categories":2178},[137],{"categories":2180},[],{"categories":2182},[],{"categories":2184},[137],{"categories":2186},[201],{"categories":2188},[112],{"categories":2190},[],{"categories":2192},[184,112],{"categories":2194},[458],{"categories":2196},[137],{"categories":2198},[],{"categories":2200},[140],{"categories":2202},[140],{"categories":2204},[112],{"categories":2206},[194],{"categories":2208},[145],{"categories":2210},[163],{"categories":2212},[201],{"categories":2214},[184],{"categories":2216},[112],{"categories":2218},[112],{"categories":2220},[112],{"categories":2222},[137],{"categories":2224},[112],{"categories":2226},[145],{"categories":2228},[163],{"categories":2230},[],{"categories":2232},[],{"categories":2234},[187],{"categories":2236},[194],{"categories":2238},[112],{"categories":2240},[184],{"categories":2242},[187],{"categories":2244},[112],{"categories":2246},[112],{"categories":2248},[145],{"categories":2250},[145],{"categories":2252},[112,140],{"categories":2254},[],{"categories":2256},[184],{"categories":2258},[],{"categories":2260},[112],{"categories":2262},[163],{"categories":2264},[137],{"categories":2266},[137],{"categories":2268},[145],{"categories":2270},[112],{"categories":2272},[140],{"categories":2274},[194],{"categories":2276},[201],{"categories":2278},[],{"categories":2280},[163],{"categories":2282},[112],{"categories":2284},[112],{"categories":2286},[163],{"categories":2288},[194],{"categories":2290},[112],{"categories":2292},[145],{"categories":2294},[163],{"categories":2296},[112],{"categories":2298},[184],{"categories":2300},[112],{"categories":2302},[112],{"categories":2304},[458],{"categories":2306},[148],{"categories":2308},[145],{"categories":2310},[112],{"categories":2312},[163],{"categories":2314},[145],{"categories":2316},[201],{"categories":2318},[112],{"categories":2320},[],{"categories":2322},[112],{"categories":2324},[],{"categories":2326},[],{"categories":2328},[],{"categories":2330},[140],{"categories":2332},[112],{"categories":2334},[145],{"categories":2336},[163],{"categories":2338},[163],{"categories":2340},[163],{"categories":2342},[163],{"categories":2344},[],{"categories":2346},[137],{"categories":2348},[145],{"categories":2350},[163],{"categories":2352},[137],{"categories":2354},[145],{"categories":2356},[112],{"categories":2358},[112,145],{"categories":2360},[145],{"categories":2362},[458],{"categories":2364},[163],{"categories":2366},[163],{"categories":2368},[145],{"categories":2370},[112],{"categories":2372},[],{"categories":2374},[163],{"categories":2376},[201],{"categories":2378},[137],{"categories":2380},[112],{"categories":2382},[112],{"categories":2384},[],{"categories":2386},[194],{"categories":2388},[],{"categories":2390},[137],{"categories":2392},[145],{"categories":2394},[163],{"categories":2396},[112],{"categories":2398},[163],{"categories":2400},[137],{"categories":2402},[163],{"categories":2404},[163],{"categories":2406},[],{"categories":2408},[140],{"categories":2410},[145],{"categories":2412},[163],{"categories":2414},[163],{"categories":2416},[163],{"categories":2418},[163],{"categories":2420},[163],{"categories":2422},[163],{"categories":2424},[163],{"categories":2426},[163],{"categories":2428},[163],{"categories":2430},[163],{"categories":2432},[187],{"categories":2434},[137],{"categories":2436},[112],{"categories":2438},[112],{"categories":2440},[],{"categories":2442},[112,137],{"categories":2444},[],{"categories":2446},[145],{"categories":2448},[163],{"categories":2450},[145],{"categories":2452},[112],{"categories":2454},[112],{"categories":2456},[112],{"categories":2458},[112],{"categories":2460},[112],{"categories":2462},[145],{"categories":2464},[140],{"categories":2466},[184],{"categories":2468},[163],{"categories":2470},[112],{"categories":2472},[],{"categories":2474},[],{"categories":2476},[145],{"categories":2478},[184],{"categories":2480},[112],{"categories":2482},[],{"categories":2484},[],{"categories":2486},[201],{"categories":2488},[112],{"categories":2490},[],{"categories":2492},[],{"categories":2494},[137],{"categories":2496},[140],{"categories":2498},[112],{"categories":2500},[140],{"categories":2502},[184],{"categories":2504},[],{"categories":2506},[163],{"categories":2508},[],{"categories":2510},[184],{"categories":2512},[112],{"categories":2514},[201],{"categories":2516},[],{"categories":2518},[201],{"categories":2520},[],{"categories":2522},[],{"categories":2524},[145],{"categories":2526},[],{"categories":2528},[140],{"categories":2530},[137],{"categories":2532},[184],{"categories":2534},[194],{"categories":2536},[],{"categories":2538},[],{"categories":2540},[112],{"categories":2542},[137],{"categories":2544},[201],{"categories":2546},[],{"categories":2548},[145],{"categories":2550},[145],{"categories":2552},[163],{"categories":2554},[112],{"categories":2556},[145],{"categories":2558},[112],{"categories":2560},[145],{"categories":2562},[112],{"categories":2564},[148],{"categories":2566},[163],{"categories":2568},[],{"categories":2570},[201],{"categories":2572},[194],{"categories":2574},[145],{"categories":2576},[],{"categories":2578},[112],{"categories":2580},[145],{"categories":2582},[140],{"categories":2584},[137],{"categories":2586},[112],{"categories":2588},[184],{"categories":2590},[194],{"categories":2592},[194],{"categories":2594},[112],{"categories":2596},[187],{"categories":2598},[112],{"categories":2600},[145],{"categories":2602},[140],{"categories":2604},[145],{"categories":2606},[112],{"categories":2608},[112],{"categories":2610},[145],{"categories":2612},[163],{"categories":2614},[],{"categories":2616},[137],{"categories":2618},[112],{"categories":2620},[145],{"categories":2622},[112],{"categories":2624},[112],{"categories":2626},[],{"categories":2628},[184],{"categories":2630},[140],{"categories":2632},[163],{"categories":2634},[112],{"categories":2636},[112],{"categories":2638},[184],{"categories":2640},[201],{"categories":2642},[187],{"categories":2644},[112],{"categories":2646},[163],{"categories":2648},[112],{"categories":2650},[145],{"categories":2652},[458],{"categories":2654},[112],{"categories":2656},[145],{"categories":2658},[187],{"categories":2660},[],{"categories":2662},[145],{"categories":2664},[194],{"categories":2666},[184],{"categories":2668},[112],{"categories":2670},[137],{"categories":2672},[140],{"categories":2674},[194],{"categories":2676},[],{"categories":2678},[145],{"categories":2680},[112],{"categories":2682},[],{"categories":2684},[163],{"categories":2686},[],{"categories":2688},[163],{"categories":2690},[112],{"categories":2692},[145],{"categories":2694},[145],{"categories":2696},[145],{"categories":2698},[],{"categories":2700},[],{"categories":2702},[112],{"categories":2704},[112],{"categories":2706},[],{"categories":2708},[184],{"categories":2710},[145],{"categories":2712},[201],{"categories":2714},[137],{"categories":2716},[],{"categories":2718},[],{"categories":2720},[163],{"categories":2722},[194],{"categories":2724},[112],{"categories":2726},[112],{"categories":2728},[112],{"categories":2730},[194],{"categories":2732},[163],{"categories":2734},[184],{"categories":2736},[112],{"categories":2738},[112],{"categories":2740},[112],{"categories":2742},[163],{"categories":2744},[112],{"categories":2746},[163],{"categories":2748},[145],{"categories":2750},[145],{"categories":2752},[194],{"categories":2754},[145],{"categories":2756},[112],{"categories":2758},[194],{"categories":2760},[184],{"categories":2762},[],{"categories":2764},[145],{"categories":2766},[],{"categories":2768},[],{"categories":2770},[],{"categories":2772},[140],{"categories":2774},[112],{"categories":2776},[145],{"categories":2778},[137],{"categories":2780},[145],{"categories":2782},[201],{"categories":2784},[],{"categories":2786},[145],{"categories":2788},[],{"categories":2790},[137],{"categories":2792},[145],{"categories":2794},[],{"categories":2796},[145],{"categories":2798},[112],{"categories":2800},[163],{"categories":2802},[112],{"categories":2804},[145],{"categories":2806},[163],{"categories":2808},[145],{"categories":2810},[194],{"categories":2812},[184],{"categories":2814},[137],{"categories":2816},[],{"categories":2818},[145],{"categories":2820},[184],{"categories":2822},[458],{"categories":2824},[163],{"categories":2826},[112],{"categories":2828},[184],{"categories":2830},[137],{"categories":2832},[],{"categories":2834},[145],{"categories":2836},[145],{"categories":2838},[112],{"categories":2840},[],{"categories":2842},[145],{"categories":2844},[148],{"categories":2846},[163],{"categories":2848},[145],{"categories":2850},[140],{"categories":2852},[],{"categories":2854},[112],{"categories":2856},[148],{"categories":2858},[112],{"categories":2860},[145],{"categories":2862},[163],{"categories":2864},[137],{"categories":2866},[458],{"categories":2868},[112],{"categories":2870},[112],{"categories":2872},[112],{"categories":2874},[163],{"categories":2876},[140],{"categories":2878},[112],{"categories":2880},[184],{"categories":2882},[163],{"categories":2884},[458],{"categories":2886},[112],{"categories":2888},[],{"categories":2890},[],{"categories":2892},[458],{"categories":2894},[187],{"categories":2896},[145],{"categories":2898},[145],{"categories":2900},[163],{"categories":2902},[112],{"categories":2904},[137],{"categories":2906},[184],{"categories":2908},[145],{"categories":2910},[112],{"categories":2912},[201],{"categories":2914},[112],{"categories":2916},[145],{"categories":2918},[],{"categories":2920},[112],{"categories":2922},[112],{"categories":2924},[163],{"categories":2926},[137],{"categories":2928},[],{"categories":2930},[112],{"categories":2932},[112],{"categories":2934},[194],{"categories":2936},[184],{"categories":2938},[112,145],{"categories":2940},[201,140],{"categories":2942},[112],{"categories":2944},[],{"categories":2946},[145],{"categories":2948},[],{"categories":2950},[194],{"categories":2952},[112],{"categories":2954},[163],{"categories":2956},[],{"categories":2958},[145],{"categories":2960},[],{"categories":2962},[184],{"categories":2964},[145],{"categories":2966},[137],{"categories":2968},[145],{"categories":2970},[112],{"categories":2972},[458],{"categories":2974},[201],{"categories":2976},[140],{"categories":2978},[140],{"categories":2980},[137],{"categories":2982},[137],{"categories":2984},[112],{"categories":2986},[145],{"categories":2988},[112],{"categories":2990},[112],{"categories":2992},[137],{"categories":2994},[112],{"categories":2996},[201],{"categories":2998},[163],{"categories":3000},[112],{"categories":3002},[145],{"categories":3004},[112],{"categories":3006},[],{"categories":3008},[194],{"categories":3010},[],{"categories":3012},[145],{"categories":3014},[137],{"categories":3016},[],{"categories":3018},[458],{"categories":3020},[112],{"categories":3022},[],{"categories":3024},[163],{"categories":3026},[145],{"categories":3028},[194],{"categories":3030},[112],{"categories":3032},[145],{"categories":3034},[194],{"categories":3036},[145],{"categories":3038},[163],{"categories":3040},[137],{"categories":3042},[163],{"categories":3044},[194],{"categories":3046},[112],{"categories":3048},[184],{"categories":3050},[112],{"categories":3052},[112],{"categories":3054},[112],{"categories":3056},[112],{"categories":3058},[145],{"categories":3060},[112],{"categories":3062},[145],{"categories":3064},[112],{"categories":3066},[137],{"categories":3068},[112],{"categories":3070},[145],{"categories":3072},[184],{"categories":3074},[137],{"categories":3076},[145],{"categories":3078},[184],{"categories":3080},[],{"categories":3082},[112],{"categories":3084},[112],{"categories":3086},[194],{"categories":3088},[],{"categories":3090},[145],{"categories":3092},[201],{"categories":3094},[112],{"categories":3096},[163],{"categories":3098},[201],{"categories":3100},[145],{"categories":3102},[140],{"categories":3104},[140],{"categories":3106},[112],{"categories":3108},[137],{"categories":3110},[],{"categories":3112},[112],{"categories":3114},[],{"categories":3116},[137],{"categories":3118},[112],{"categories":3120},[145],{"categories":3122},[145],{"categories":3124},[],{"categories":3126},[194],{"categories":3128},[194],{"categories":3130},[201],{"categories":3132},[184],{"categories":3134},[],{"categories":3136},[112],{"categories":3138},[137],{"categories":3140},[112],{"categories":3142},[194],{"categories":3144},[137],{"categories":3146},[163],{"categories":3148},[163],{"categories":3150},[],{"categories":3152},[163],{"categories":3154},[145],{"categories":3156},[184],{"categories":3158},[187],{"categories":3160},[112],{"categories":3162},[],{"categories":3164},[163],{"categories":3166},[194],{"categories":3168},[140],{"categories":3170},[112],{"categories":3172},[137],{"categories":3174},[458],{"categories":3176},[137],{"categories":3178},[],{"categories":3180},[],{"categories":3182},[163],{"categories":3184},[],{"categories":3186},[145],{"categories":3188},[145],{"categories":3190},[145],{"categories":3192},[],{"categories":3194},[112],{"categories":3196},[],{"categories":3198},[163],{"categories":3200},[137],{"categories":3202},[184],{"categories":3204},[112],{"categories":3206},[163],{"categories":3208},[163],{"categories":3210},[],{"categories":3212},[163],{"categories":3214},[137],{"categories":3216},[112],{"categories":3218},[],{"categories":3220},[145],{"categories":3222},[145],{"categories":3224},[137],{"categories":3226},[],{"categories":3228},[],{"categories":3230},[],{"categories":3232},[184],{"categories":3234},[145],{"categories":3236},[112],{"categories":3238},[],{"categories":3240},[],{"categories":3242},[],{"categories":3244},[184],{"categories":3246},[],{"categories":3248},[137],{"categories":3250},[],{"categories":3252},[],{"categories":3254},[184],{"categories":3256},[112],{"categories":3258},[163],{"categories":3260},[],{"categories":3262},[201],{"categories":3264},[163],{"categories":3266},[201],{"categories":3268},[112],{"categories":3270},[],{"categories":3272},[],{"categories":3274},[145],{"categories":3276},[],{"categories":3278},[],{"categories":3280},[145],{"categories":3282},[112],{"categories":3284},[],{"categories":3286},[145],{"categories":3288},[163],{"categories":3290},[201],{"categories":3292},[187],{"categories":3294},[145],{"categories":3296},[145],{"categories":3298},[],{"categories":3300},[],{"categories":3302},[],{"categories":3304},[163],{"categories":3306},[],{"categories":3308},[],{"categories":3310},[184],{"categories":3312},[137],{"categories":3314},[],{"categories":3316},[140],{"categories":3318},[201],{"categories":3320},[112],{"categories":3322},[194],{"categories":3324},[137],{"categories":3326},[187],{"categories":3328},[140],{"categories":3330},[194],{"categories":3332},[],{"categories":3334},[],{"categories":3336},[145],{"categories":3338},[137],{"categories":3340},[184],{"categories":3342},[137],{"categories":3344},[145],{"categories":3346},[458],{"categories":3348},[145],{"categories":3350},[],{"categories":3352},[112],{"categories":3354},[163],{"categories":3356},[194],{"categories":3358},[],{"categories":3360},[184],{"categories":3362},[163],{"categories":3364},[137],{"categories":3366},[145],{"categories":3368},[112],{"categories":3370},[140],{"categories":3372},[145,458],{"categories":3374},[145],{"categories":3376},[194],{"categories":3378},[112],{"categories":3380},[187],{"categories":3382},[201],{"categories":3384},[145],{"categories":3386},[],{"categories":3388},[145],{"categories":3390},[112],{"categories":3392},[140],{"categories":3394},[],{"categories":3396},[],{"categories":3398},[112],{"categories":3400},[187],{"categories":3402},[112],{"categories":3404},[],{"categories":3406},[163],{"categories":3408},[],{"categories":3410},[163],{"categories":3412},[194],{"categories":3414},[145],{"categories":3416},[112],{"categories":3418},[201],{"categories":3420},[194],{"categories":3422},[],{"categories":3424},[163],{"categories":3426},[112],{"categories":3428},[],{"categories":3430},[112],{"categories":3432},[145],{"categories":3434},[112],{"categories":3436},[145],{"categories":3438},[112],{"categories":3440},[112],{"categories":3442},[112],{"categories":3444},[112],{"categories":3446},[140],{"categories":3448},[],{"categories":3450},[148],{"categories":3452},[163],{"categories":3454},[112],{"categories":3456},[],{"categories":3458},[194],{"categories":3460},[112],{"categories":3462},[112],{"categories":3464},[145],{"categories":3466},[163],{"categories":3468},[112],{"categories":3470},[112],{"categories":3472},[140],{"categories":3474},[145],{"categories":3476},[184],{"categories":3478},[],{"categories":3480},[187],{"categories":3482},[112],{"categories":3484},[],{"categories":3486},[163],{"categories":3488},[201],{"categories":3490},[],{"categories":3492},[],{"categories":3494},[163],{"categories":3496},[163],{"categories":3498},[201],{"categories":3500},[137],{"categories":3502},[145],{"categories":3504},[145],{"categories":3506},[112],{"categories":3508},[140],{"categories":3510},[],{"categories":3512},[],{"categories":3514},[163],{"categories":3516},[187],{"categories":3518},[194],{"categories":3520},[145],{"categories":3522},[184],{"categories":3524},[187],{"categories":3526},[187],{"categories":3528},[],{"categories":3530},[163],{"categories":3532},[112],{"categories":3534},[112],{"categories":3536},[194],{"categories":3538},[],{"categories":3540},[163],{"categories":3542},[163],{"categories":3544},[163],{"categories":3546},[],{"categories":3548},[145],{"categories":3550},[112],{"categories":3552},[],{"categories":3554},[137],{"categories":3556},[140],{"categories":3558},[],{"categories":3560},[112],{"categories":3562},[112],{"categories":3564},[],{"categories":3566},[194],{"categories":3568},[],{"categories":3570},[],{"categories":3572},[],{"categories":3574},[],{"categories":3576},[112],{"categories":3578},[163],{"categories":3580},[],{"categories":3582},[],{"categories":3584},[112],{"categories":3586},[112],{"categories":3588},[112],{"categories":3590},[187],{"categories":3592},[112],{"categories":3594},[187],{"categories":3596},[],{"categories":3598},[187],{"categories":3600},[187],{"categories":3602},[458],{"categories":3604},[145],{"categories":3606},[194],{"categories":3608},[],{"categories":3610},[],{"categories":3612},[187],{"categories":3614},[194],{"categories":3616},[194],{"categories":3618},[194],{"categories":3620},[],{"categories":3622},[137],{"categories":3624},[194],{"categories":3626},[194],{"categories":3628},[137],{"categories":3630},[194],{"categories":3632},[140],{"categories":3634},[194],{"categories":3636},[194],{"categories":3638},[194],{"categories":3640},[187],{"categories":3642},[163],{"categories":3644},[163],{"categories":3646},[112],{"categories":3648},[194],{"categories":3650},[187],{"categories":3652},[458],{"categories":3654},[187],{"categories":3656},[187],{"categories":3658},[187],{"categories":3660},[],{"categories":3662},[140],{"categories":3664},[],{"categories":3666},[458],{"categories":3668},[194],{"categories":3670},[194],{"categories":3672},[194],{"categories":3674},[145],{"categories":3676},[163,140],{"categories":3678},[187],{"categories":3680},[],{"categories":3682},[],{"categories":3684},[187],{"categories":3686},[],{"categories":3688},[187],{"categories":3690},[163],{"categories":3692},[145],{"categories":3694},[],{"categories":3696},[194],{"categories":3698},[112],{"categories":3700},[184],{"categories":3702},[],{"categories":3704},[112],{"categories":3706},[],{"categories":3708},[163],{"categories":3710},[137],{"categories":3712},[187],{"categories":3714},[],{"categories":3716},[194],{"categories":3718},[163],[3720,3996,4095,4272],{"id":3721,"title":3722,"ai":3723,"body":3728,"categories":3958,"created_at":113,"date_modified":113,"description":105,"extension":114,"faq":113,"featured":115,"kicker_label":113,"meta":3959,"navigation":117,"path":3983,"published_at":3984,"question":113,"scraped_at":3985,"seo":3986,"sitemap":3987,"source_id":3988,"source_name":3971,"source_type":124,"source_url":3989,"stem":3990,"tags":3991,"thumbnail_url":113,"tldr":3993,"tweet":113,"unknown_tags":3994,"__hash__":3995},"summaries\u002Fsummaries\u002F7c3a0fc3510d62c1-7-levels-claude-code-from-slop-to-agentic-marketin-summary.md","7 Levels: Claude Code from Slop to Agentic Marketing",{"provider":7,"model":8,"input_tokens":3724,"output_tokens":3725,"processing_time_ms":3726,"cost_usd":3727},8786,3028,39788,0.0032487,{"type":14,"value":3729,"toc":3952},[3730,3734,3742,3749,3781,3787,3805,3811,3814,3821,3825,3832,3837,3863,3869,3872,3875,3879,3882,3887,3913,3916,3919,3922,3926,3949],[17,3731,3733],{"id":3732},"taste-first-eliminate-ai-slop-with-voice-injection-levels-1-2","Taste First: Eliminate AI Slop with Voice Injection (Levels 1-2)",[22,3735,3736,3737,3741],{},"The foundation of effective Claude Code marketing is developing 'taste'—ensuring outputs match your unique voice, values, and style instead of generic AI slop. Level 1 is the default trap: basic prompts like 'write a tweet' or 'write my LinkedIn post' produce telltale AI-isms (e.g., 'It's not X, it's Y', excessive M-dashes, repetitive phrasing). Most users stay here, prompting fixes like 'no M-dashes' or 'make it louder for engagement,' but this fails because it doesn't capture ",[3738,3739,3740],"em",{},"your"," voice.",[22,3743,3744,3745,3748],{},"To level up to Level 2 (Taste Injector), create a ",[42,3746,3747],{},"brand voice document"," (e.g., voice.md) as a system prompt. Use this template structure:",[36,3750,3751,3757,3763,3769,3775],{},[39,3752,3753,3756],{},[42,3754,3755],{},"Core mission",": State your purpose (e.g., 'Demystify AI for non-technical builders').",[39,3758,3759,3762],{},[42,3760,3761],{},"Voice\u002Ftone guidelines",": Practical, opinionated, concise.",[39,3764,3765,3768],{},[42,3766,3767],{},"Phrases to avoid",": List AI slop like 'game-changing,' 'leverage synergies,' M-dashes.",[39,3770,3771,3774],{},[42,3772,3773],{},"On-brand phrases",": Your signatures (e.g., 'Here's what works,' 'Trade-offs: X but Y').",[39,3776,3777,3780],{},[42,3778,3779],{},"Platform-specific rules",": E.g., LinkedIn: professional hooks; Twitter: punchy.",[22,3782,3783,3786],{},[42,3784,3785],{},"How to build it",":",[84,3788,3789,3792,3795,3798],{},[39,3790,3791],{},"Curate 3-5 (max 10) examples of your best posts or admired creators' posts.",[39,3793,3794],{},"Prompt Claude: 'Analyze these posts and fill out this voice template.'",[39,3796,3797],{},"Load the doc into every prompt or folder: 'Reference voice.md for all outputs.'",[39,3799,3800,3801,3804],{},"Turn it into a ",[42,3802,3803],{},"skill",": Prompt Claude to create a 'blog post skill' that auto-includes the voice doc.",[22,3806,3807,3810],{},[42,3808,3809],{},"Key principles",": Less is more—avoid context rot (overloading with 40k words\u002Fdocs). Iterate: Review outputs weekly, feed high-performers back to refine the doc. Common mistake: Set-it-and-forget-it; treat it as living. Trap: Brute-force engagement without voice leads to slop that dismisses your brand.",[22,3812,3813],{},"\"Tools aren't your bottleneck, it's taste.\" This quote underscores why voice docs unlock consistency—AI guesses no more.",[22,3815,3816,3817,3820],{},"Quality criteria: Outputs pass if they feel like ",[3738,3818,3819],{},"you"," (read aloud test), avoid Wikipedia-listed AI signs, and drive engagement without hype.",[17,3822,3824],{"id":3823},"automate-ideation-turn-manual-flows-into-skills-level-3","Automate Ideation: Turn Manual Flows into Skills (Level 3)",[22,3826,3827,3828,3831],{},"With voice nailed, systematize ",[3738,3829,3830],{},"what"," to create. Level 3 (Systems Builder) replaces 'pray for inspiration' with automated info pipelines. Identify your 'fountainhead' sources (e.g., Twitter\u002FGitHub for AI niches; studies\u002FPubMed for fitness).",[22,3833,3834,3786],{},[42,3835,3836],{},"Step-by-step workflow recreation",[36,3838,3839,3845,3851,3857],{},[39,3840,3841,3844],{},[42,3842,3843],{},"Stream-of-consciousness prompt",": In Claude Code (mic mode), dictate: 'My daily marketing flow: Scan Twitter for AI agents, check GitHub trends, synthesize into ideas.'",[39,3846,3847,3850],{},[42,3848,3849],{},"Skill Creator Skill",": Prompt: 'Turn this into Claude skills.' Claude auto-generates\u002Ftest-optimizes modular skills (e.g., twitter-search, github-trends, synthesize-brief).",[39,3852,3853,3856],{},[42,3854,3855],{},"Daily execution",": Run 'morning-report skill'—queries web\u002FTwitter\u002FGitHub, outputs Obsidian vault brief: 'What is it? So what? Content ideas?'",[39,3858,3859,3862],{},[42,3860,3861],{},"Deep dive",": For topics, chain skills (e.g., YouTube pipeline: Search → NotebookLM CLI analysis → brief with hooks\u002Fideas).",[22,3864,3865,3868],{},[42,3866,3867],{},"Customization",": Niche-dependent—fitness: RSS studies; tech: real-time Twitter. Principles: Focus on speed (terminal-executable skills, no dashboards yet); automate 80% ideation. Mistake: Over-engineering (fancy UIs vs. simple skills). Unlock: You're now 90% toward full automation—voice + topics = content flywheel.",[22,3870,3871],{},"\"Tell Cloud Code what you do and how you work. And it's going to take your task, turn them into skills.\" This captures the meta-skill: Claude builds its own automation.",[22,3873,3874],{},"Prerequisites: Basic Claude familiarity; fits early in workflow (ideation → creation → distribution).",[17,3876,3878],{"id":3877},"multimodal-expansion-images-videos-in-your-brand-level-4","Multimodal Expansion: Images, Videos in Your Brand (Level 4)",[22,3880,3881],{},"Extend text to visuals without losing taste. Level 4 (Creative Director) applies voice docs to non-text: images\u002Fvideos for Instagram\u002FTikTok\u002FYouTube.",[22,3883,3884,3786],{},[42,3885,3886],{},"Process",[36,3888,3889,3895,3901,3907],{},[39,3890,3891,3894],{},[42,3892,3893],{},"Adapt voice doc",": Platform templates (e.g., carousel: 'Bold colors, no stock photos; match text voice'). Feed 3-5 visual examples.",[39,3896,3897,3900],{},[42,3898,3899],{},"Ideation chain",": Level 3 brief → synthesize 'so what' + copy → generate visuals.",[39,3902,3903,3906],{},[42,3904,3905],{},"Tool-agnostic execution",": E.g., GitHub trends → Claude brief → Higgsfield MCP to GPT-4o Images (or Midjourney\u002FRunway) with voice prompts.",[39,3908,3909,3912],{},[42,3910,3911],{},"Consistency",": Repeatable templates transfer across tools (prompts work in Ideogram or Kling\u002FSeedance).",[22,3914,3915],{},"Principle: Tools change weekly—focus on prompts\u002Fvoice. Mistake: Tool-chasing without brand guardrails leads to inconsistent slop. Quality: Visuals + text feel cohesive, on-brand (e.g., carousel slides match blog aesthetic).",[22,3917,3918],{},"\"The real bottleneck again isn't the tool themselves. It's getting that brand and getting that voice.\"",[22,3920,3921],{},"Higher levels (5-7: Agentic OS, multi-platform posting, self-improving loops) build on this: Refine for platforms, add distribution APIs, make fully autonomous.",[17,3923,3925],{"id":3924},"key-takeaways","Key Takeaways",[84,3927,3928,3931,3934,3937,3940,3943,3946],{},[39,3929,3930],{},"Create a living voice.md template with mission, dos\u002Fdon'ts, 3-5 examples—reference in every skill\u002Fprompt.",[39,3932,3933],{},"Recreate your ideation flow via stream-of-consciousness → Skill Creator for automated briefs.",[39,3935,3936],{},"Curate sources niche-specifically (Twitter first for fast trends); synthesize to 'what\u002Fso what\u002Fideas.'",[39,3938,3939],{},"For multimodal, adapt voice docs to visuals; chain ideation → gen with tool wrappers like Higgsfield.",[39,3941,3942],{},"Iterate relentlessly: Feed top performers back; avoid context rot or over-fancy builds.",[39,3944,3945],{},"Practice: Build one skill today (e.g., morning report); test on 3 topics.",[39,3947,3948],{},"Level up metric: Outputs indistinguishable from your manual work, scaled 10x.",[22,3950,3951],{},"\"If you don't nail that part, the taste part... you are just going to be another AI internet tragedy that people see and they see your post and they immediately dismiss you.\"",{"title":105,"searchDepth":106,"depth":106,"links":3953},[3954,3955,3956,3957],{"id":3732,"depth":106,"text":3733},{"id":3823,"depth":106,"text":3824},{"id":3877,"depth":106,"text":3878},{"id":3924,"depth":106,"text":3925},[145],{"content_references":3960,"triage":3978},[3961,3966,3969,3973,3976],{"type":3962,"title":3963,"url":3964,"context":3965},"other","Master Claude Code","https:\u002F\u002Fwww.skool.com\u002Fchase-ai","recommended",{"type":3962,"title":3967,"url":3968,"context":3965},"Chase AI Community","https:\u002F\u002Fwww.skool.com\u002Fchase-ai-community",{"type":3970,"title":3971,"url":3972,"context":3965},"tool","Chase AI","https:\u002F\u002Fchaseai.io",{"type":3970,"title":3974,"context":3975},"NotebookLM CLI","mentioned",{"type":3970,"title":3977,"context":3975},"Higgsfield MCP",{"relevance":3979,"novelty":3980,"quality":3980,"actionability":3979,"composite":3981,"reasoning":3982},5,4,4.55,"Category: AI Automation. The article provides a detailed framework for creating a personalized marketing engine using AI, addressing the pain point of generic outputs by emphasizing the importance of a brand voice document. It offers actionable steps for building and refining this document, making it immediately applicable for product builders looking to enhance their AI-driven marketing efforts.","\u002Fsummaries\u002F7c3a0fc3510d62c1-7-levels-claude-code-from-slop-to-agentic-marketin-summary","2026-04-30 15:34:28","2026-05-03 16:55:20",{"title":3722,"description":105},{"loc":3983},"50dd950a19ff1758","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=S6YwrVql83U","summaries\u002F7c3a0fc3510d62c1-7-levels-claude-code-from-slop-to-agentic-marketin-summary",[3992,128,129,130],"content-marketing","Build a personalized Claude Code marketing engine by mastering taste via voice docs, automating ideation with skills, and scaling to multimodal\u002Fagentic outputs that post in your voice across platforms.",[129,130],"mGJ-45tPA7A6g4X5cDOH39WFfP5ssJLFu2LNbeVqYmI",{"id":3997,"title":3998,"ai":3999,"body":4004,"categories":4058,"created_at":113,"date_modified":113,"description":105,"extension":114,"faq":113,"featured":115,"kicker_label":113,"meta":4059,"navigation":117,"path":4081,"published_at":4082,"question":113,"scraped_at":4083,"seo":4084,"sitemap":4085,"source_id":4086,"source_name":4087,"source_type":124,"source_url":4088,"stem":4089,"tags":4090,"thumbnail_url":113,"tldr":4092,"tweet":113,"unknown_tags":4093,"__hash__":4094},"summaries\u002Fsummaries\u002F8bbebba883d922d9-claude-cowork-hierarchical-claude-md-turns-ai-into-summary.md","Claude Cowork: Hierarchical CLAUDE.md Turns AI into Your OS",{"provider":7,"model":8,"input_tokens":4000,"output_tokens":4001,"processing_time_ms":4002,"cost_usd":4003},8691,1967,36819,0.0026992,{"type":14,"value":4005,"toc":4053},[4006,4010,4013,4016,4019,4023,4026,4037,4040,4043,4047,4050],[17,4007,4009],{"id":4008},"claudemd-and-memorymd-enable-persistent-contextual-ai-behavior","CLAUDE.md and Memory.md Enable Persistent, Contextual AI Behavior",[22,4011,4012],{},"The core system relies on two plain-text Markdown files: CLAUDE.md as the instruction manual defining rules, and memory.md as a notepad for session-to-session recall. CLAUDE.md sets master rules like \"at the start of every session, read memory.md before responding\" and \"when I say 'remember this,' write to memory.md.\" This creates persistent memory—tell Claude \"current events distract from e-lists, remember that,\" and it adds an entry to memory.md's memory section, retrievable in future sessions via queries like \"What did I say about distractions?\"",[22,4014,4015],{},"A routing map table in root CLAUDE.md directs tasks to specific folders (e.g., email to Email HQ), while references point to resources only when needed, keeping token usage low. Voice principles.md (built by analyzing 30 Gmail emails or 5 writing samples) extracts patterns like \"warm, direct, professional tone without stiffness,\" loaded before outputs for personalized content like newsletters matching your style. Active projects section in memory.md lists ongoing work (e.g., workshop outline, dinner plans) updated via commands, ensuring context across sessions.",[22,4017,4018],{},"Analogy: Root CLAUDE.md is the U.S. Constitution (applies everywhere); workstation CLAUDE.md files stack state laws on top for specialized rules. Limit root CLAUDE.md to 300 lines max, default to Sonnet model (1\u002F5th Opus cost, sufficient 80% of time), and avoid rule duplication to minimize tokens.",[17,4020,4022],{"id":4021},"_3-level-hierarchy-root-workstations-projects-for-scalable-specialization","3-Level Hierarchy: Root, Workstations, Projects for Scalable Specialization",[22,4024,4025],{},"Start with a root folder (e.g., \"ClaudeOS\") containing CLAUDE.md, memory.md, and 00-resources folder. Use Obsidian to view Markdown files readably (no learning curve needed). Download starter templates for these files.",[22,4027,4028,4031,4032,4036],{},[42,4029,4030],{},"Level 1 Workstations"," divide life areas: universal (e.g., Email HQ for cross-domain tasks) or dedicated (e.g., Personal Finances). Prompt Claude with templates to auto-create: for Email HQ, it scans 4 weeks of sent Gmail, extracts patterns (greetings like \"Hey ",[4033,4034,4035],"span",{},"Name",",\" signoffs, inbox zero workflow: 2-minute rule, labels, archive\u002Fsnooze logic), and builds Email HQ\u002FCLAUDE.md stacking on root voice rules. Result: Emails reference prior threads, follow conventions, sound like you.",[22,4038,4039],{},"For Personal Finances, upload 12 months of statements; Claude categorizes spending (e.g., Bumble Premium), builds Excel with tabs (Transactions, Yearly\u002FMonthly Summary, Category Taxonomy), and remembers corrections (e.g., \"Canva is subscriptions, not freelancers\"). Project subfolders (e.g., mortgage refinance under Housing) inherit the same structure.",[22,4041,4042],{},"Build 2-3 workstations first; expand as needs arise. Use cases: Route screenshots to copywriting frameworks; post-meeting, auto-draft follow-ups pulling calendar\u002Ftranscripts; create Notion projects (e.g., Boston trip July 17-24) filling properties\u002Fsections per your conventions.",[17,4044,4046],{"id":4045},"pro-tips-session-audits-and-token-optimization-for-production-use","Pro Tips: Session Audits and Token Optimization for Production Use",[22,4048,4049],{},"End sessions with \"\u002Fsession-audit\" (custom skill from toolkit): scans conversation for unsaved principles\u002Fpreferences, adds to memory.md. Keeps system evolving without manual updates.",[22,4051,4052],{},"Token savers: Reference external files instead of embedding; Sonnet for \u003C3 interdependent steps; no repeated rules. After 30 workstations, author advises starting slow to master interactions. Free toolkit provides templates; paid Academy offers pre-built systems. Builds implied context (e.g., projects, style) for reliable outputs, per Google's AI Essentials learnings.",{"title":105,"searchDepth":106,"depth":106,"links":4054},[4055,4056,4057],{"id":4008,"depth":106,"text":4009},{"id":4021,"depth":106,"text":4022},{"id":4045,"depth":106,"text":4046},[],{"content_references":4060,"triage":4079},[4061,4064,4067,4070,4072,4076],{"type":3970,"title":4062,"url":4063,"context":3965},"Starter templates and prompt templates","https:\u002F\u002Fwww.jeffsu.org\u002Fclaude-cowork-build-your-own-jarvis\u002F?utm_source=youtube&utm_medium=video&utm_campaign=v203",{"type":3970,"title":4065,"url":4066,"context":3965},"Free Cowork Toolkit","https:\u002F\u002Fcoworkacademy.ai\u002Ftoolkit?utm_source=youtube&utm_medium=video&utm_campaign=v203",{"type":3962,"title":4068,"url":4069,"context":3965},"Cowork Academy","https:\u002F\u002Fcoworkacademy.ai?utm_source=youtube&utm_medium=video&utm_campaign=v203",{"type":3970,"title":4071,"context":3965},"Obsidian",{"type":3962,"title":4073,"author":4074,"publisher":4075,"context":3975},"Google's AI Essentials specialization","Google instructors","Coursera",{"type":3970,"title":4077,"url":4078,"context":3975},"Notion Command Center","https:\u002F\u002Fwww.pressplay.cc\u002Flink\u002Fs\u002FDE1C4C50",{"relevance":3979,"novelty":3980,"quality":3980,"actionability":3979,"composite":3981,"reasoning":4080},"Category: AI Automation. The article provides a detailed framework for building a persistent AI system using CLAUDE.md and memory.md, addressing practical applications for automating tasks like email and project management. It offers actionable steps, such as creating a 3-level folder hierarchy and using specific Markdown files, making it highly relevant and immediately applicable for product builders.","\u002Fsummaries\u002F8bbebba883d922d9-claude-cowork-hierarchical-claude-md-turns-ai-into-summary","2026-04-28 13:00:03","2026-05-03 16:57:40",{"title":3998,"description":105},{"loc":4081},"30e63ac1ca0930c9","Jeff Su","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=0_dSWLOHKng","summaries\u002F8bbebba883d922d9-claude-cowork-hierarchical-claude-md-turns-ai-into-summary",[128,4091,129,130],"ai-tools","Build a persistent AI second brain using CLAUDE.md instruction files, memory.md for recall, and a 3-level folder hierarchy (root, workstations, projects) to automate email, finances, newsletters, and projects without burning rate limits.",[129,130],"Zpgp_Ifz07jbBKxihc7X5Ma1JZ2wCi-1EOHPgFuTxDI",{"id":4096,"title":4097,"ai":4098,"body":4103,"categories":4244,"created_at":113,"date_modified":113,"description":105,"extension":114,"faq":113,"featured":115,"kicker_label":113,"meta":4245,"navigation":117,"path":4259,"published_at":4260,"question":113,"scraped_at":4261,"seo":4262,"sitemap":4263,"source_id":4264,"source_name":4265,"source_type":124,"source_url":4266,"stem":4267,"tags":4268,"thumbnail_url":113,"tldr":4269,"tweet":113,"unknown_tags":4270,"__hash__":4271},"summaries\u002Fsummaries\u002Fe8be71ccaeff11f3-ai-context-your-career-asset-platforms-won-t-let-y-summary.md","AI Context: Your Career Asset Platforms Won't Let You Own",{"provider":7,"model":8,"input_tokens":4099,"output_tokens":4100,"processing_time_ms":4101,"cost_usd":4102},8789,2527,17505,0.0024756,{"type":14,"value":4104,"toc":4237},[4105,4109,4112,4115,4121,4125,4128,4154,4157,4162,4166,4169,4172,4177,4181,4184,4198,4201,4204,4209,4211],[17,4106,4108],{"id":4107},"ai-context-as-unowned-professional-capital","AI Context as Unowned Professional Capital",[22,4110,4111],{},"Professionals accumulate massive value in AI systems like ChatGPT, Claude, and Perplexity through daily interactions, but this \"working identity\" remains fragmented and controlled by platforms. Nate Jones argues this context rivals traditional institutional knowledge, built faster via explicit conversations. Over months, users encode industry specifics, workflows, and behaviors implicitly across thousands of chats, creating a \"honing effect\" where the AI adapts to their cognitive paths. This stickiness, deliberate like social media habit loops, benefits workers but traps them—switching feels like \"losing a leg.\"",[22,4113,4114],{},"Jones highlights a core tension: 60% of workers use personal AIs at work despite IT bans, as corporate tools lack personalization. Enterprises roll out sanitized versions, but without user context, they're ineffective. The result? Shadow IT usage persists, and job changes or tool switches reset progress. He predicts this hits 90% of professionals in two years via role shifts, company AI mandates (e.g., Anthropic vs. OpenAI deals), or personal migrations.",[4116,4117,4118],"blockquote",{},[22,4119,4120],{},"\"Right now all of us are building the most important asset of our careers in AI systems all over the place and we're not owning any of it and it's fragmented.\" (Jones opens by framing the ownership crisis, emphasizing fragmentation across tools as the root problem.)",[17,4122,4124],{"id":4123},"four-layers-of-context-creating-lock-in","Four Layers of Context Creating Lock-In",[22,4126,4127],{},"Jones dissects context into four non-obvious layers, explaining why extraction is hard—you can't fully inventory what's been drip-fed over time:",[36,4129,4130,4136,4142,4148],{},[39,4131,4132,4135],{},[42,4133,4134],{},"Domain Encoding",": Implicit industry knowledge (vocabulary, products, competitors, acronyms, strategy) absorbed via daily chats, not a single briefing. Equivalent to years of osmosis in heads of senior employees, now accelerated. Fresh AIs feel like \"talking to a stranger.\"",[39,4137,4138,4141],{},[42,4139,4140],{},"Workflow Calibration",": Patterns in research structure, code reviews, drafts, memos, Slack summaries—honed through repetitions and edits. Saves 5-8 conversation turns per task by anticipating needs, avoiding \"grinding in first gear.\"",[39,4143,4144,4147],{},[42,4145,4146],{},"Behavioral Relationship",": Emergent grasp of unstated preferences—when to challenge vs. execute, technical depth, rhetorical questions, preamble tolerance. Built via microcorrections (rephrasings, examples, silences), like colleague rapport after a year vs. day one.",[39,4149,4150,4153],{},[42,4151,4152],{},"Artifact History (Demonstrated Capability)",": Missing today—context around produced docs, code, spreadsheets (how made, pros\u002Fcons thinking). Buried in chats, hard to surface for interviews\u002Fportability. Enables proving skills without stealing secrets, filling the \"credential gap\" where vibes rule and firms like Meta test candidates in locked rooms without context.",[22,4155,4156],{},"These layers compound: high interaction bars encode better, but platforms make export hard, blurring personal\u002Fprofessional lines.",[4116,4158,4159],{},[22,4160,4161],{},"\"The more it sucks to use a new AI, that's a sign to you that you've done a great job encoding that domain knowledge into your existing AI. Right? Good job. Now, it's hard to move.\" (Illustrates the honing trap—success in one tool becomes the barrier to switching.)",[17,4163,4165],{"id":4164},"incentives-and-failures-blocking-solutions","Incentives and Failures Blocking Solutions",[22,4167,4168],{},"Platforms (OpenAI, Anthropic) prioritize retention: easy import, hard export, no personal\u002Fprofessional separation. No model maker wants BYOC (bring-your-own-context), as it erodes moats—memory now trumps models for 2026 stickiness.",[22,4170,4171],{},"Startups fail despite funding: pain is \"diffuse\" (constant drag, not acute crisis), like a funky car noise vs. flat tire. Tools lack cross-platform links, trade-secret filtering, personal\u002Fprofessional splits. They're \"candy products\" (nice-to-have) vs. \"opium products\" (must-haves for acute pain). Market failure leaves employers unable to assess AI skills, candidates unable to demo without context.",[4116,4173,4174],{},[22,4175,4176],{},"\"None of the model makers has an incentive to solve this problem. They all want to keep you inside, right? None of them want to lose you.\" (Pinpoints platform hostility as deliberate, not oversight.)",[17,4178,4180],{"id":4179},"practical-path-to-portable-context-ownership","Practical Path to Portable Context Ownership",[22,4182,4183],{},"Shift mindset: Treat context as a career-long asset you control, not platform byproduct. Solutions evolve from bandaids to infrastructure:",[84,4185,4186,4192],{},[39,4187,4188,4191],{},[42,4189,4190],{},"Extraction Prompts",": Use your best AI to generate structured Markdown capturing domains, workflows, preferences, patterns. Audit for secrets; 30-min ROI bridges gaps.",[39,4193,4194,4197],{},[42,4195,4196],{},"Personal Databases",": MCP-native (Model Context Protocol) stores for pull-based access—AI queries selectively (e.g., pricing heuristics), avoiding token bloat. Supports write-backs for evolution, flipping push (pasting docs) to on-demand pulls.",[22,4199,4200],{},"Jones is building both: prompts for immediate use, MCP servers for future-proofing. MCP acts as \"USB-C for AI,\" enabling agent discovery\u002Fquery. For enterprises, BYOC ends IT vs. personal wars, letting workers import honed intelligence.",[22,4202,4203],{},"This owns the future: compounding advantage to portable-identity builders, while walled-garden pourers restart at boundaries.",[4116,4205,4206],{},[22,4207,4208],{},"\"MCP as the USB-C connector for AI.\" (Positions MCP as the interoperability standard for context mobility across agents\u002Ftools.)",[17,4210,3925],{"id":3924},[84,4212,4213,4216,4219,4222,4225,4228,4231,4234],{},[39,4214,4215],{},"Treat AI context as professional capital: Nurture it explicitly across layers to accelerate career growth.",[39,4217,4218],{},"Use extraction prompts today: Generate audited Markdown from your primary AI for quick portability (30 mins\u002Fsetup).",[39,4220,4221],{},"Build toward personal context servers: MCP-compliant databases for selective, pull-based access and evolution.",[39,4223,4224],{},"Hold high interaction bars: Encodes better calibration\u002Fbehavior, amplifying honing but requiring export discipline.",[39,4226,4227],{},"Anticipate switches: 90% face resets in 2 years—pre-build portable identity to avoid underperformance.",[39,4229,4230],{},"Evaluate memory startups critically: Seek cross-platform, secret-filtering tools solving diffuse pain.",[39,4232,4233],{},"For hiring: Test with candidate context or expect ramp-up lags; vibes won't scale.",[39,4235,4236],{},"Push for BYOC: Enterprises gain from worker productivity; fight IT bans with context proof.",{"title":105,"searchDepth":106,"depth":106,"links":4238},[4239,4240,4241,4242,4243],{"id":4107,"depth":106,"text":4108},{"id":4123,"depth":106,"text":4124},{"id":4164,"depth":106,"text":4165},{"id":4179,"depth":106,"text":4180},{"id":3924,"depth":106,"text":3925},[],{"content_references":4246,"triage":4255},[4247,4251],{"type":3962,"title":4248,"author":4249,"url":4250,"context":3975},"The AI Capital You've Been Building","Nate B Jones","https:\u002F\u002Fnatesnewsletter.substack.com\u002Fp\u002Fthe-ai-capital-youve-been-building?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true",{"type":4252,"title":4253,"url":4254,"context":3975},"podcast","AI News & Strategy Daily with Nate B Jones","https:\u002F\u002Fpodcasts.apple.com\u002Fus\u002Fpodcast\u002Fai-news-strategy-daily-with-nate-b-jones\u002Fid1877109372",{"relevance":3980,"novelty":4256,"quality":3980,"actionability":4256,"composite":4257,"reasoning":4258},3,3.6,"Category: AI & LLMs. The article discusses the concept of AI context as a form of professional capital, which directly relates to the use of AI tools and their implications for product builders. It highlights the importance of extracting and owning AI-generated context, addressing a pain point for professionals who rely on AI in their workflows.","\u002Fsummaries\u002Fe8be71ccaeff11f3-ai-context-your-career-asset-platforms-won-t-let-y-summary","2026-04-17 14:00:12","2026-04-21 15:10:38",{"title":4097,"description":105},{"loc":4259},"852a532c9b28f6f2","AI News & Strategy Daily | Nate B Jones","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=4KAF72BTyCE","summaries\u002Fe8be71ccaeff11f3-ai-context-your-career-asset-platforms-won-t-let-y-summary",[128,4091,129,130],"AI memory across chats builds irreplaceable professional capital through four context layers, but platforms lock it in—extract it now via prompts and personal databases for portability.",[129,130],"1Kb-KVDHW0uOu01xGlzRm7VrXEWhb5M19TUzf7WPLl8",{"id":4273,"title":4274,"ai":4275,"body":4280,"categories":4320,"created_at":113,"date_modified":113,"description":105,"extension":114,"faq":113,"featured":115,"kicker_label":113,"meta":4321,"navigation":117,"path":4333,"published_at":4334,"question":113,"scraped_at":4335,"seo":4336,"sitemap":4337,"source_id":4338,"source_name":4339,"source_type":124,"source_url":4340,"stem":4341,"tags":4342,"thumbnail_url":113,"tldr":4344,"tweet":113,"unknown_tags":4345,"__hash__":4346},"summaries\u002Fsummaries\u002F3fc7b2368b61c268-h2e-framework-deterministic-ai-safety-via-geometri-summary.md","H2E Framework: Deterministic AI Safety via Geometric Constraints",{"provider":7,"model":8,"input_tokens":4276,"output_tokens":4277,"processing_time_ms":4278,"cost_usd":4279},5527,2073,10155,0.00163505,{"type":14,"value":4281,"toc":4315},[4282,4286,4289,4292,4296,4299,4302,4306,4309,4312],[17,4283,4285],{"id":4284},"three-layer-boundary-for-proactive-ai-governance","Three-Layer Boundary for Proactive AI Governance",[22,4287,4288],{},"Build deterministic AI safety by structuring operations into H2E's World Model Layer (V-JEPA 2's self-supervised spatiotemporal video embeddings for real-time ground truth), Geometric Governance (prevents unsafe outputs by hardcoding constraints into model logic\u002Fweights, making violations mathematically impossible), and Deterministic Reasoning (requires verifiable claims before token generation). This shifts from probabilistic guessing to expert kernels tied to physical reality, enabling Sovereign AI with auditable local hosting under SAIL licenses—AI executes only if aligned, treating the 'Wall' (geometric bounds) as a technical-legal contract that breaches on deviation.",[22,4290,4291],{},"Trade-off: Sacrifices flexibility of cloud models for mission-critical determinism in aerospace\u002Fgovernment, avoiding foreign update risks while ensuring outputs match expert protocols.",[17,4293,4295],{"id":4294},"perception-action-loop-grounds-reasoning-in-video-data","Perception-Action Loop Grounds Reasoning in Video Data",[22,4297,4298],{},"Process raw video into safe actions: Sample 16 frames (256x256) via PyAV, extract 1024D visual embeddings with V-JEPA 2 (Hugging Face transformers, vjepa2-vitl-fpc64-256), select 4 keyframes for Claude 4.7 API (prompted as 'expert aviation safety controller' for tasks like landing gear failure). Claude analyzes pixels directly for ACTION\u002FEXPLANATION (e.g., low fly-by inspection, runway clearance, ARFF positioning), projecting visual embedding to 384D text space via linear layer for multimodal fusion.",[22,4300,4301],{},"Outcome: Ties reasoning to observable reality, preventing hallucinations—initial Claude output on gear failure video recommends protocol steps verifiable against visuals.",[17,4303,4305],{"id":4304},"sroi-verification-and-nested-adaptation-enforce-alignment","SROI Verification and Nested Adaptation Enforce Alignment",[22,4307,4308],{},"Compute Semantic Return-of-Investment (SROI) as cosine similarity between AI outputs and Expert Intents library: Visual SROI (embedding vs. intents), Text SROI (Claude text vs. intents), Fused SROI average. Reject if \u003C0.75 threshold (e.g., initial 0.0362 visual + 0.5802 text = 0.3082 fused flags 'Representation Gap', blocks action).",[22,4310,4311],{},"Trigger Nested Learning: Freeze V-JEPA\u002FClaude backbones, Adam-optimize projector weights over 100 steps (loss drops 0.0420 to 0.0000, Fused SROI rises to 0.7901). Authorizes aligned action only post-convergence, logging full transparency from pixels to verified decision.",[22,4313,4314],{},"Impact: Adapts without retraining giants, ensuring 100% protocol compliance in high-stakes loops—transforms probability-based AI into deterministic expert systems for aviation safety.",{"title":105,"searchDepth":106,"depth":106,"links":4316},[4317,4318,4319],{"id":4284,"depth":106,"text":4285},{"id":4294,"depth":106,"text":4295},{"id":4304,"depth":106,"text":4305},[],{"content_references":4322,"triage":4330},[4323,4327],{"type":3962,"title":4324,"url":4325,"context":4326},"The Wall Before the Word: H2E Geometric Governance and the Future of AI Government","https:\u002F\u002Fmedium.com\u002Fai-simplified-in-plain-english\u002Fthe-wall-before-the-word-h2e-geometric-governance-and-the-future-of-ai-government-89ff82c7598a","cited",{"type":3970,"title":4328,"url":4329,"context":3975},"h2e_vjepa2_claude4dot7.ipynb","https:\u002F\u002Fgithub.com\u002Ffrank-morales2020\u002FMLxDL\u002Fblob\u002Fmain\u002Fh2e_vjepa2_claude4dot7.ipynb",{"relevance":4256,"novelty":3980,"quality":3980,"actionability":106,"composite":4331,"reasoning":4332},3.25,"Category: AI & LLMs. The article discusses a framework for deterministic AI safety, which is relevant to AI engineering and addresses the need for practical applications in AI product development. However, while it presents novel insights into AI safety mechanisms, it lacks sufficient actionable steps for the audience to implement the concepts discussed.","\u002Fsummaries\u002F3fc7b2368b61c268-h2e-framework-deterministic-ai-safety-via-geometri-summary","2026-04-16 19:38:58","2026-04-19 01:22:22",{"title":4274,"description":105},{"loc":4333},"3fc7b2368b61c268","AI Simplified in Plain English","https:\u002F\u002Fmedium.com\u002Fai-simplified-in-plain-english\u002Fdeterministic-alignment-the-h2e-framework-v-jepa-2-claude-4-7-ae8b61fa8b8b?source=rss----f37ab7d4e76b---4","summaries\u002F3fc7b2368b61c268-h2e-framework-deterministic-ai-safety-via-geometri-summary",[4343,128,129,130],"python","Embed safety as mathematical impossibilities in AI via H2E's three layers: V-JEPA 2 grounds video perception in 1024D reality embeddings, Claude 4.7 reasons multimodally, SROI verifies fused alignment >0.75 threshold or adapts projector weights over 100 steps to ensure expert-compliant actions in aviation.",[129,130],"5BOOkb9r4C0i1fDATFdg8iwfche3b71djRSeJMweX6U"]