[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-57196811b5e73d47-pair-openclaw-hermes-to-halve-ai-costs-summary":3,"summaries-facets-categories":94,"summary-related-57196811b5e73d47-pair-openclaw-hermes-to-halve-ai-costs-summary":3679},{"id":4,"title":5,"ai":6,"body":13,"categories":49,"created_at":51,"date_modified":51,"description":43,"extension":52,"faq":51,"featured":53,"kicker_label":51,"meta":54,"navigation":75,"path":76,"published_at":77,"question":51,"scraped_at":78,"seo":79,"sitemap":80,"source_id":81,"source_name":82,"source_type":83,"source_url":84,"stem":85,"tags":86,"thumbnail_url":51,"tldr":90,"tweet":91,"unknown_tags":92,"__hash__":93},"summaries\u002Fsummaries\u002F57196811b5e73d47-pair-openclaw-hermes-to-halve-ai-costs-summary.md","Pair OpenClaw + Hermes to Halve AI Costs",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",6732,1817,26337,0.00174805,{"type":14,"value":15,"toc":42},"minimark",[16,21,25,28,32,35,39],[17,18,20],"h2",{"id":19},"match-agent-strengths-to-tasks-for-massive-savings","Match Agent Strengths to Tasks for Massive Savings",[22,23,24],"p",{},"Single agents force premium models like Opus ($75+\u002Fmil tokens) on all tasks, inflating bills and creating bottlenecks—one failure halts everything. Dual agents fix this: OpenClaw excels as a stable workhorse for complex, long tasks via daily updates and integrations (Gmail, Slack, Notion, Calendar); pair it with Opus 4.7 (upgrade from 4.6 yields real performance jumps) for client-facing work, multi-step reasoning, or high-stakes output. Hermes shines as a lightweight specialist: token-efficient, self-improving (auto-writes skills for repeat tasks), cron-ready, runs on cheap\u002Flocal models (e.g., Sonnet 4.6). Route high-stakes to OpenClaw (proposals, competitive research); volume\u002Frepeatable to Hermes (summaries, quick research, content repurposing, scheduled jobs). Result: parallel processing, backups, and 50% bill cut by avoiding Opus on low-intelligence needs—labs like OpenAI\u002FAnthropic validate this via cross-tool integrations (e.g., OpenAI plugin in Claude Code for mutual error-checking).",[22,26,27],{},"Adopt the \"Does this need Opus?\" habit: For client follow-ups, proposals, or error-costly tasks, use OpenClaw (worth every token). For transcripts, web searches, note cleanups, Slack drafts, or morning summaries, Hermes delivers identical (often faster) output at fraction of cost. Internalize this to exponentially drop spend without guilt.",[17,29,31],{"id":30},"plan-execute-review-workflow-delivers-opus-quality-cheaply","Plan-Execute-Review Workflow Delivers Opus Quality Cheaply",[22,33,34],{},"Split token-heavy builds: OpenClaw plans (Opus thinks hard—good plans prevent 15 bad executions); Hermes executes on cheap model; OpenClaw reviews (catches misses like edge cases, missing fields). Demo: Prompt OpenClaw to plan HTML\u002FTailwind sponsor deal tracker (pull real deals from list, flag stuck ones, stages\u002Fcolumns\u002Fstatus logic)—outputs detailed spec in ~2min. Paste to Hermes (\"Build this plan\"): generates full page with real names, badges, values, dates, red flags. Review in OpenClaw flags 2-3 issues (e.g., blast contact visibility, status rendering). Total: 2min build, Opus strategy\u002FQA, cheap execution—same quality, fraction cost. V2: Wire Gmail for auto-triage\u002Fupdates.",[17,36,38],{"id":37},"shared-workspace-unifies-agents-for-collective-improvement","Shared Workspace Unifies Agents for Collective Improvement",[22,40,41],{},"Use one Notion workspace (or ClickUp, Obsidian, Google Drive): OpenClaw folder (its logs\u002Fdecisions), Hermes folder (its logs), shared folder (cross-learnings: fixed mistakes, task decisions, client context). Agents read shared first, write to it post-task—Hermes video repurposing trick informs OpenClaw; OpenClaw proposal structure aids Hermes. Prevents silos\u002Frepeated errors; agents evolve together. Full 4-part setup: (1) Split heavy\u002Fvolume tasks; (2) Plan (OpenClaw)-Execute (Hermes)-Review (OpenClaw); (3) Delegate via \"needs Opus?\"; (4) Shared memory.",{"title":43,"searchDepth":44,"depth":44,"links":45},"",2,[46,47,48],{"id":19,"depth":44,"text":20},{"id":30,"depth":44,"text":31},{"id":37,"depth":44,"text":38},[50],"AI Automation",null,"md",false,{"content_references":55,"triage":70},[56,60,62,66],{"type":57,"title":58,"context":59},"tool","OpenClaw","recommended",{"type":57,"title":61,"context":59},"Hermes",{"type":57,"title":63,"url":64,"context":65},"salesdone.ai","https:\u002F\u002Fsalesdone.ai","mentioned",{"type":67,"title":68,"url":69,"context":65},"other","Systems to Scale Skool Community","https:\u002F\u002Fwww.skool.com\u002Fsystems-to-scale-9517\u002Fabout",{"relevance":71,"novelty":72,"quality":72,"actionability":71,"composite":73,"reasoning":74},5,4,4.55,"Category: AI Automation. The article provides a practical framework for using dual agents, OpenClaw and Hermes, to optimize AI costs and improve efficiency, addressing a specific pain point of cost management in AI deployment. It offers actionable steps for implementing this strategy, such as adopting the 'Does this need Opus?' habit to evaluate task requirements.",true,"\u002Fsummaries\u002F57196811b5e73d47-pair-openclaw-hermes-to-halve-ai-costs-summary","2026-05-08 13:45:03","2026-05-09 15:10:58",{"title":5,"description":43},{"loc":76},"af392afcadc44f1c","Nick Puru | AI Automation","article","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=qk0yiCS2nv0","summaries\u002F57196811b5e73d47-pair-openclaw-hermes-to-halve-ai-costs-summary",[87,88,89],"agents","ai-tools","ai-automation","Run OpenClaw on Opus for high-stakes planning\u002Freview and Hermes on cheap models for execution\u002Fvolume tasks in a shared workspace—delivers Opus-quality output at 50% lower cost via parallel work and task matching.","Explains routing tasks between [OpenClaw](https:\u002F\u002Fsalesdone.ai) on Opus for high-stakes planning\u002Freview and Hermes on cheap models for routine execution, with a live demo building an HTML sponsor deal tracker via plan-execute-review. Builds to shared workspaces and task triage habits for cost savings.",[89],"q5_cPQ9LI-UB83daecEPGZ7YVoHyfv2fsMJivQ6KDa4",[95,98,101,104,106,109,111,113,115,117,119,121,124,126,128,130,132,134,136,138,140,142,145,148,150,152,155,157,159,162,164,166,168,170,172,174,176,178,180,182,184,186,188,190,192,194,196,198,200,202,204,206,208,210,212,214,216,218,220,222,224,226,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258,260,262,264,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,419,421,423,425,427,429,431,433,435,437,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,225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It doesn't add SQL, analysis, or Cortex functions—Coco already handles those—but ensures identical reasoning patterns, tool calls, and a fixed 13-field structured report format. Key proof: every output includes ",[3698,3699,3700],"code",{},"SKILL_APPLIED: true",", confirming the full procedure ran. This transforms variable prose responses into glanceable reports with labeled fields, traceable numbers, three findings, and three recommendations. For example, across datasets with SALES (67 rows, 64 won\u002F3 lost deals), REVENUE_SUMMARY (regional summaries with anomaly flags), and DOCUMENTS (resignation emails, deal loss email, Slack export), it connects structured metrics like LATAM's 64% QoQ drop to unstructured root causes like two rep resignations and one lost Argentina deal.",[22,3703,3704],{},"The skill persists across sessions and schemas—update table names in a few lines to reuse on any Snowflake setup with transactions, summaries, and documents. Audit trails log every ReAct turn to AGENT_RUN_LOG, providing full traceability without manual intervention.",[17,3706,3708],{"id":3707},"_4-step-procedure-bridges-structured-and-unstructured-data","4-Step Procedure Bridges Structured and Unstructured Data",[22,3710,3711],{},"Step 1 classifies query intent via CORTEX.CLASSIFY_TEXT(), routing to DataAgent, AnomalyAgent, ReportAgent, or ForecastAgent.",[22,3713,3714],{},"Step 2 runs a ReAct loop (max 5 turns) via CORTEX.COMPLETE(): each turn follows Thought (reason next data need), Action (SQL query via sql_tool), Observation (results). For LATAM query, turn 1 identifies Q3 outlier; turn 2 confirms 64% drop and rep-level gaps (e.g., Sofia Reyes as sole Q3 closer); it stops when confident, avoiding unnecessary queries unlike static SQL.",[22,3716,3717],{},"Step 3 uses CORTEX.EXTRACT_ANSWER() on DOCUMENTS for why (e.g., Carlos Lima\u002FBrazil resignation, Diego Herrera\u002FColombia resignation, Argentina loss).",[22,3719,3720],{},"Step 4 synthesizes into identical 13-field report: e.g., FINDING_1: \"LATAM revenue dropped 64% QoQ from $860K to $310K\"; RECOMMENDATION_1: \"Hire 2 reps for Brazil\u002FColombia\"; plus metrics, evidence, and SKILL_APPLIED: true.",[17,3722,3724],{"id":3723},"react-pattern-ensures-completeness-over-one-shot-queries","ReAct Pattern Ensures Completeness Over One-Shot Queries",[22,3726,3727],{},"ReAct outperforms single SQL by iteratively deciding queries based on prior observations: start broad (regional trends), drill down (QoQ history, rep deals), integrate unstructured facts. This yields complete answers neither tables alone provide—SALES\u002FREVENUE_SUMMARY show what happened (64% drop), DOCUMENTS explain why (attrition, loss). Pre-skill: useful narrative varies by run. Post-skill: same depth, format fires on any query (e.g., \"Q3 closed-lost deals\" lists 3 losses with reasons). Result: leadership gets board-ready reports in seconds vs. hours of analyst chaining, fostering habit of querying Coco first.",[17,3729,3731],{"id":3730},"three-core-benefits-consistency-completeness-commitment","Three Core Benefits: Consistency, Completeness, Commitment",[22,3733,3734],{},"Consistency: Same procedure\u002Fformat every query, eliminating format variance.",[22,3736,3737],{},"Completeness: ReAct + extraction crosses data boundaries for root-cause synthesis.",[22,3739,3740],{},"Commitment: SKILL_APPLIED: true + logs verify rigor, building trust for production use. In demo, VP gets actionable LATAM intel (numbers, causes, hires) instantly, scalable to pipeline\u002Fforecasts—one upload shifts Coco from experimental to reliable.",{"title":43,"searchDepth":44,"depth":44,"links":3742},[3743,3744,3745,3746],{"id":3692,"depth":44,"text":3693},{"id":3707,"depth":44,"text":3708},{"id":3723,"depth":44,"text":3724},{"id":3730,"depth":44,"text":3731},[50],{"content_references":3749,"triage":3757},[3750,3754],{"type":67,"title":3751,"author":3752,"url":3753,"context":65},"Agentic AI in Action—Part 16: The Data Warehouse That Built Itself, Powered by Snowflake Coco","Krishnan Srinivasan","https:\u002F\u002Fmedium.com\u002Ftowards-artificial-intelligence\u002Fagentic-ai-in-action-part-16-the-data-warehouse-that-built-itself-powered-by-snowflake-coco-064ca8a07e5f",{"type":67,"title":3755,"url":3756,"context":65},"Cortex-Code-Skills-Demo","https:\u002F\u002Fgithub.com\u002FKrishsriniv\u002FCortex-Code-Skills-Demo",{"relevance":72,"novelty":3758,"quality":72,"actionability":72,"composite":3759,"reasoning":3760},3,3.8,"Category: AI Automation. The article discusses a practical tool (SKILL.md) that enforces a structured approach to AI outputs in Snowflake Cortex Code, addressing the need for consistency in AI-driven reporting. It provides a clear 4-step procedure that can be directly applied by developers working with AI tools.","\u002Fsummaries\u002F30adf319d2a2ceff-skill-md-enforces-consistent-cortex-code-analysis-summary","2026-04-21 14:39:50","2026-04-21 15:26:12",{"title":3682,"description":43},{"loc":3761},"30adf319d2a2ceff","Towards AI","https:\u002F\u002Fpub.towardsai.net\u002Fagentic-ai-in-action-part-19-what-happens-when-you-give-cortex-code-a-rulebook-b6b6b065e8aa?source=rss----98111c9905da---4","summaries\u002F30adf319d2a2ceff-skill-md-enforces-consistent-cortex-code-analysis-summary",[87,88,89],"Upload SKILL.md to mandate a 4-step procedure in Snowflake Cortex Code: classify intent, ReAct loop on structured data (max 5 turns), extract facts from documents, output fixed 13-field report—delivering auditable, leadership-ready answers every time.",[89],"k0DhexxcxoEzl_8XKp1gkKbYrvuLRikIEjgC-c9FF6k",{"id":3775,"title":3776,"ai":3777,"body":3782,"categories":3818,"created_at":51,"date_modified":51,"description":3819,"extension":52,"faq":51,"featured":53,"kicker_label":51,"meta":3820,"navigation":75,"path":3821,"published_at":3822,"question":51,"scraped_at":3823,"seo":3824,"sitemap":3825,"source_id":3826,"source_name":3827,"source_type":3828,"source_url":3829,"stem":3830,"tags":3831,"thumbnail_url":51,"tldr":3832,"tweet":51,"unknown_tags":3833,"__hash__":3834},"summaries\u002Fsummaries\u002Fc8ff68333b088614-custom-telegram-agent-beats-openclaw-with-full-con-summary.md","Custom Telegram Agent Beats OpenClaw with Full Control",{"provider":7,"model":8,"input_tokens":3778,"output_tokens":3779,"processing_time_ms":3780,"cost_usd":3781},7570,1403,14697,0.00219285,{"type":14,"value":3783,"toc":3812},[3784,3788,3791,3795,3798,3802,3805,3809],[17,3785,3787],{"id":3786},"vibe-coding-delivers-production-agents-without-deep-dev-skills","Vibe Coding Delivers Production Agents Without Deep Dev Skills",[22,3789,3790],{},"Build serious agents through iterative \"vibe coding\": start with detailed specs, generate implementation plans, conduct AI-driven code reviews, and refactor repeatedly. This process took 30 days of nightly tuning for CC Claw, handling bugs and stability absent in quick \"few-hour\" builds. Non-developers can create addictive, evolving systems by treating planning as code—e.g., evolve from Claude Code backend to multi-tool CLI integration (Claude, Gemini, Cursor, Codex). Outcome: Telegram-only interface curates news from GitHub\u002FReddit\u002Fmedia\u002FX, formats posts with bold headlines, spacing, and \"why it matters\" for personal channels, replacing OpenClaw's limitations like poor account rotation.",[17,3792,3794],{"id":3793},"preserve-context-across-multi-model-switches-and-permissions","Preserve Context Across Multi-Model Switches and Permissions",[22,3796,3797],{},"Maintain chat memory when rotating LLMs by saving summarized conversations via a backend summarizer agent—select models like Gemini Pro at high settings. Rotate personal API keys\u002Faccounts on usage timeouts (e.g., Gemini Pro issues), toggling signatures to track active model\u002Fthinking level\u002Faccount. Control risks with permissions: \"safe\" limits to read-only tools; \"plan\" for analysis\u002Fproposals; \"gated\" requires approve\u002Freject per action (e.g., file creation outside workspace). Verbosity modes expose backend tools\u002Factions for debugging; direct shell access (pwd, restarts) bypasses agent. Status commands reveal real-time backend issues, unlike OpenClaw's delays. Result: YOLO autonomy without full sandbox lock-in, executing tasks like Downloads\u002Ftest.txt creation securely.",[17,3799,3801],{"id":3800},"self-evolution-and-skills-optimization-for-continuous-improvement","Self-Evolution and Skills Optimization for Continuous Improvement",[22,3803,3804],{},"Run nightly cron jobs for reflection: analyze interactions, feedback (\"right\u002Fwrong\"), issues to propose identity\u002Fskills\u002Fcontext file changes—review\u002Fapply\u002Freject\u002Fdiscuss manually to avoid unwanted directions. Audit files (souls.md, identity.md, user.md) for contradictions, misplaced info (e.g., move user data from souls.md); optimize skills by trimming token-heavy wording. Skills system includes built-ins, CC Claw-specific, and universal manager: scan\u002Fdownload MCPs (e.g., Perplexity), check for risks\u002Fprompt injection, distribute. Elaborate memory with episodic recall, decay, \u002Fremember commands, and agent-searchable MCP. Chrome jobs handle scanning (news\u002FGitHub\u002FPRs), heartbeat, daily status. Voice: integrate 11 Labs\u002FGrok\u002FMacOS (Samantha\u002FAlbert) for TTS responses.",[17,3806,3808],{"id":3807},"scale-tasks-with-sub-agents-and-ai-councils","Scale Tasks with Sub-Agents and AI Councils",[22,3810,3811],{},"Spawn sub-agents natively or via environment: e.g., Gemini Pro + Codex 54 + Sonnet 3.5 on shared task lists, coordinating via built-in MCP tools like Claude agent teams. Create debates\u002Fcouncils—select models, query for deliberation\u002Fconsensus. Jobs menu tracks all (news scanner, GitHub monitor, reflection). This turns solo agents into teams, handling complex workflows like news proposal → investigation → formatted post, exceeding OpenClaw in flexibility and control.",{"title":43,"searchDepth":44,"depth":44,"links":3813},[3814,3815,3816,3817],{"id":3786,"depth":44,"text":3787},{"id":3793,"depth":44,"text":3794},{"id":3800,"depth":44,"text":3801},{"id":3807,"depth":44,"text":3808},[50],"This video is a shorter version of a full 30-minute video. See full Agent overview video here with Newsroom usecase demo: https:\u002F\u002Fyoutu.be\u002F-wQPhXfLM7M \n\nHere's how I built a custom AI agent from scratch that completely replaced OpenClaw. Meet CC Claw, a Telegram-based powerhouse that I spent the last 30 days \"vibe coding\" to fix the limitations of standard autonomous bots. \n\n🔥 3 Key Takeaways:\n• Multi-Model Flexibility: Seamlessly rotate between Claude, Gemini, Cusror, and Codex without losing chat memory.\n• Vibe Coding at Scale: See how specs, planning, and implementation merge to build complex AI without traditional coding.\n• Absolute Control: Learn how to manage agent permissions, verbosity, evolution, and self-optimization.\n\nResources:\n📰 Join the Gen AI Spotlight AI News Channel on Telegram: https:\u002F\u002Ft.me\u002Fgenaispot\u002F\n\n👣 Follow GenAI Spotlight on TikTok: https:\u002F\u002Fwww.tiktok.com\u002F@genai.spotlight\n\n#️⃣ Follow GenAI Spotlight on X: https:\u002F\u002Fx.com\u002FGenAISpotlight\n\n🧑🏽‍💻 Perplexity MCP & CLI: https:\u002F\u002Fgithub.com\u002Fjacob-bd\u002Fperplexity-web-mcp\n\nChapters:\n0:00 Why OpenClaw is Dead \n0:27 Meet CC Claw: The Custom Telegram Agent\n1:20 Vibe Coding & The Planning Phase\n5:00 Switching Backends (Gemini, Claude, Cursor)\n8:00 Gated Actions & Sandboxing\n12:00 Agent Evolution & Skill Optimization\n20:00 Sub-Agents & The AI Council\n\n#CustomAIAgent #VibeCoding #TelegramBot #GenAI",{},"\u002Fsummaries\u002Fc8ff68333b088614-custom-telegram-agent-beats-openclaw-with-full-con-summary","2026-04-09 16:00:24","2026-04-10 03:08:58",{"title":3776,"description":3819},{"loc":3821},"c8ff68333b088614","Gen AI Spotlight","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=9JChzE_Avi0","summaries\u002Fc8ff68333b088614-custom-telegram-agent-beats-openclaw-with-full-con-summary",[87,88,89],"CC Claw replaces OpenClaw via 30-day vibe coding: Telegram interface switches Claude\u002FGemini\u002FCursor\u002FCodex backends with memory preservation, adds gated actions, self-evolution, and sub-agents for reliable autonomy.",[89],"-lfQH4FCIuvTBxL8e02pn7QlpMi66Jx58KvMQitKSHg",{"id":3836,"title":3837,"ai":3838,"body":3843,"categories":3890,"created_at":51,"date_modified":51,"description":3891,"extension":52,"faq":51,"featured":53,"kicker_label":51,"meta":3892,"navigation":75,"path":3893,"published_at":3894,"question":51,"scraped_at":3895,"seo":3896,"sitemap":3897,"source_id":3898,"source_name":3899,"source_type":3828,"source_url":3900,"stem":3901,"tags":3902,"thumbnail_url":51,"tldr":3903,"tweet":51,"unknown_tags":3904,"__hash__":3905},"summaries\u002Fsummaries\u002F09a07831cff0de88-build-production-ai-agents-with-claude-managed-age-summary.md","Build Production AI Agents with Claude Managed Agents",{"provider":7,"model":8,"input_tokens":3839,"output_tokens":3840,"processing_time_ms":3841,"cost_usd":3842},6698,1609,14131,0.00167685,{"type":14,"value":3844,"toc":3885},[3845,3849,3852,3856,3859,3862,3865,3869,3876,3882],[17,3846,3848],{"id":3847},"platform-advantages-over-custom-builds","Platform Advantages Over Custom Builds",[22,3850,3851],{},"Claude Managed Agents runs on Anthropic's infrastructure, handling long-running, asynchronous tasks without developers building agent loops, tool execution, or runtimes from scratch. Agents operate in a secure sandbox, reading files, executing code, browsing the web, and running commands. Built-in optimizations include prompt caching, context compaction, and performance tweaks that boost efficiency and output quality. This raises the bar beyond open-source options like OpenClaw by enabling direct deployment of production-ready agents, such as those pulling unreviewed invoices from Box via API, reconciling line items, and generating disciplinary reports autonomously.",[17,3853,3855],{"id":3854},"streamlined-agent-creation-workflow","Streamlined Agent Creation Workflow",[22,3857,3858],{},"Access via Claude console > Managed Agents. Use Quick Start to describe an agent (e.g., \"support agent with Slack and Notion\") or select templates like support-to-engineer escalator, data analyst, or sprint retro facilitator. The platform generates a YAML\u002FJSON config, prompts for API keys and environment variables (e.g., Slack channel, Notion docs), and refines via AI chat.",[22,3860,3861],{},"Test in preview: Debug mode shows tool calls, model thinking, and invocations; Transcript provides condensed logs. For a Slack\u002FNotion support agent, setup takes ~40 seconds—add knowledge base docs, connect APIs, then query Slack (e.g., \"What is Claude Managed Agents?\"). Agent retrieves from Notion, cites sources, and responds in seconds.",[22,3863,3864],{},"Customize post-creation: Set model (e.g., Claude 3.5 Sonnet or Opus for extended reasoning), system prompt, MCP tools, or add skills. Track sessions by ID. Integrate via generated code snippets in TypeScript, curl, or Claude Code scaffolding.",[17,3866,3868],{"id":3867},"deployments-for-support-and-research-tasks","Deployments for Support and Research Tasks",[22,3870,3871,3875],{},[3872,3873,3874],"strong",{},"Slack\u002FNotion Support Agent",": Handles customer queries (e.g., password reset) by searching docs and responding in designated channels, using tools, long-term memory, and structured outputs.",[22,3877,3878,3881],{},[3872,3879,3880],{},"Deep Research Agent",": Quick Start creates one with Brave Search API, auto-selecting Opus model. Input query like \"Current state of fusion energy: players, breakthroughs, timeline, challenges\"—agent browses, synthesizes authoritative sources into a cited Markdown report (e.g., key players like Commonwealth Fusion Systems, investments, market outlook). Full cycle: chat to create, test, and output file in ~2 minutes.",[22,3883,3884],{},"Other ideas: Gmail inbox manager for routine answers\u002Fescalations; multi-step workflows connecting internal tools like Box or MCP for document review and data extraction. Sessions stream outputs for monitoring.",{"title":43,"searchDepth":44,"depth":44,"links":3886},[3887,3888,3889],{"id":3847,"depth":44,"text":3848},{"id":3854,"depth":44,"text":3855},{"id":3867,"depth":44,"text":3868},[50],"Try the NEW Kilo Code for VS Code now! Get started here: https:\u002F\u002Fkilo.ai\u002Flanding\u002Fvs-code\n\nClaude Managed Agents just leveled up AI automation! 🚀 In this video, we show how you can build fully autonomous AI agents that read files, run commands, browse the web, and handle workflows — all in a fully managed environment. From customer support agents that search your Notion docs and respond in Slack, to deep research workflows, Claude Managed Agents make AI truly hands-off.\n\n🔗 My Links:\nSponsor a Video or Do a Demo of Your Product, Contact me: intheworldzofai@gmail.com\n🔥 Become a Patron (Private Discord): https:\u002F\u002Fpatreon.com\u002FWorldofAi\n🧠 Follow me on Twitter: https:\u002F\u002Ftwitter.com\u002Fintheworldofai \n🚨 Subscribe To The SECOND Channel: https:\u002F\u002Fwww.youtube.com\u002F@UCYwLV1gDwzGbg7jXQ52bVnQ \n👩🏻‍🏫 Learn to code with Scrimba – from fullstack to AI https:\u002F\u002Fscrimba.com\u002F?via=worldofai (20% OFF)\n🚨 Subscribe To The FREE AI Newsletter For Regular AI Updates: https:\u002F\u002Fintheworldofai.com\u002F\n👾 Join the World of AI Discord! : https:\u002F\u002Fdiscord.gg\u002FNPf8FCn4cD\n\nSomething coming soon :) https:\u002F\u002Fwww.skool.com\u002Fworldofai-automation\n\n[Must Watch]:\nClaude Code Computer Use Can Control Your ENTIRE Computer! Automate Your Life!: https:\u002F\u002Fyoutu.be\u002FKiywNP4b0aw?si=HuJnvik0AgLjIkCb\nTurn Antigravity Into AN AI Autonomous Engineering Team! Automate Your Code with Subagents!: https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=yuaBPLNdNSU\nGemini 3.5? NEW Gemini Stealth Model Is POWERFUL & Fast! (Fully Tested): https:\u002F\u002Fyoutu.be\u002F1abLcL33eKA?si=H50xRhJxVYM7HFPK\n\n📌 LINKS & RESOURCES\nWebsite: https:\u002F\u002Fplatform.claude.com\u002F\nDocs: https:\u002F\u002Fplatform.claude.com\u002Fdocs\u002Fen\u002Fmanaged-agents\u002Foverview\n\nWe walk through:\nCreating your first agent 🛠️\nSetting up a secure environment 🌐\nRunning live sessions and streaming outputs ⚡\nIntegrating agents into real workflows 📂\n\nWhether it’s knowledge work, research, or process automation, this platform lets you scale AI like never before.\n\nGet Started with Claude Managed Agents: https:\u002F\u002Fwww.anthropic.com\u002F\n\nTags \u002F Keywords (comma-separated)\nClaude Managed Agents, Anthropic AI, AI agent, autonomous AI, AI automation, Notion AI, Slack AI, AI tools, AI workflows, AI research, AI productivity, AI integration, machine learning agent, agent OS, AI knowledge base, Claude agent tutorial, AI automation platform, AI session management\n\nHashtags\n#ClaudeManagedAgents #AnthropicAI #AIAutomation #AutonomousAI #AIWorkflows #AgentOS #NotionAI #SlackAI #AIProductivity #MachineLearning",{},"\u002Fsummaries\u002F09a07831cff0de88-build-production-ai-agents-with-claude-managed-age-summary","2026-04-09 05:25:02","2026-04-10 03:08:47",{"title":3837,"description":3891},{"loc":3893},"09a07831cff0de88","WorldofAI","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=BkHnzW7vWaA","summaries\u002F09a07831cff0de88-build-production-ai-agents-with-claude-managed-age-summary",[87,88,89],"Claude Managed Agents provides a managed platform to deploy autonomous agents that handle long-running tasks like file reading, code execution, web browsing, and tool integrations—using templates or quick starts to go from config to production in under a minute.",[89],"tXVaY6I74l_SMmmbCfEURpaf--d0q8W3a9kojtxs83I",{"id":3907,"title":3908,"ai":3909,"body":3914,"categories":4016,"created_at":51,"date_modified":51,"description":4017,"extension":52,"faq":51,"featured":53,"kicker_label":51,"meta":4018,"navigation":75,"path":4019,"published_at":4020,"question":51,"scraped_at":4021,"seo":4022,"sitemap":4023,"source_id":4024,"source_name":4025,"source_type":3828,"source_url":4026,"stem":4027,"tags":4028,"thumbnail_url":51,"tldr":4029,"tweet":51,"unknown_tags":4030,"__hash__":4031},"summaries\u002Fsummaries\u002F50f5f35ffb6cedec-claude-managed-agents-easy-start-no-scheduling-summary.md","Claude Managed Agents: Easy Start, No Scheduling",{"provider":7,"model":8,"input_tokens":3910,"output_tokens":3911,"processing_time_ms":3912,"cost_usd":3913},8448,1515,17047,0.00242445,{"type":14,"value":3915,"toc":4010},[3916,3920,3923,3926,3929,3932,3936,3939,3961,3964,3967,3971,3974,3977,3980,3984,3987,4007],[17,3917,3919],{"id":3918},"core-mechanics-define-deploy-and-run-agents-without-infra","Core Mechanics: Define, Deploy, and Run Agents Without Infra",[22,3921,3922],{},"Managed Agents let you build production-ready AI agents in Anthropic's cloud sandbox by specifying tasks, tools, and guardrails—no months of infrastructure work required. Start via quick-start UI: describe your agent (e.g., \"analyze competitors and suggest business improvements\"), and Claude auto-generates a config with name, description, model (e.g., Opus or Sonnet), system prompt, MCP servers for tools, and skills. Refine interactively, like switching to Opus for better reasoning.",[22,3924,3925],{},"Next, create an environment—a hosted container with pre-installed packages and networking rules (e.g., unrestricted access). Connect tools via OAuth\u002FSSO (e.g., ClickUp workspace in seconds, stored in shareable vaults). Sessions run on-demand via API calls, costing 8¢ per hour while live plus API token usage; idle agents and environments cost nothing.",[22,3927,3928],{},"CLI integration from Claude Code projects adds power: prompt Claude to generate and deploy agents using full project context (e.g., business goals, quarterly plans), creating tailored system prompts. Drop a YouTube transcript; the agent summarizes, adds ClickUp tasks—all without exposing API keys if careful.",[22,3930,3931],{},"Test runs show step-by-step execution (e.g., web searches, fetches like Claude Code tools), with dashboards tracking token use and timelines (e.g., 3-minute competitor analysis on Claude Code yielding scale\u002Frevenue insights, strengths\u002Fweaknesses).",[17,3933,3935],{"id":3934},"hands-on-builds-reveal-gaps-in-automation","Hands-On Builds Reveal Gaps in Automation",[22,3937,3938],{},"Author built three agents in under 5 minutes each:",[3940,3941,3942,3949,3955],"ul",{},[3943,3944,3945,3948],"li",{},[3872,3946,3947],{},"Competitor Intelligence",": Analyzes rivals (e.g., Claude Code), outputs summaries—but ignores connected tools like ClickUp unless prompted explicitly.",[3943,3950,3951,3954],{},[3872,3952,3953],{},"Field Monitor",": Scans tech news (e.g., text space weekly clusters with sources), posts to ClickUp channel.",[3943,3956,3957,3960],{},[3872,3958,3959],{},"ClickUp Research Agent",": Polls ClickUp 'to-do' queue, researches (e.g., voice AI providers), comments summaries\u002Fsources, moves to 'complete'.",[22,3962,3963],{},"Key limitation: Agents are stateless and API-triggered only—no native webhooks, crons, or scheduled wakes (e.g., can't auto-poll ClickUp every 30 minutes or heartbeat every 5 minutes). Workarounds like n8n HTTP triggers add overengineering. Outputs need manual prompt tweaks for specificity, and context updates don't always propagate across versions.",[22,3965,3966],{},"For Notion-like flows, drag tasks to trigger agents, but full automation demands external glue, eroding the '10x faster to production' claim for anything beyond one-off sessions.",[17,3968,3970],{"id":3969},"beats-openclaw-for-setup-lags-alternatives-for-production","Beats OpenClaw for Setup, Lags Alternatives for Production",[22,3972,3973],{},"Vs. banned third-party harnesses like OpenClaw: Managed Agents avoid infra hassles and API key management via MCP\u002FOAuth, ideal for Claude Chat users new to agents. But OpenClaw wins with heartbeats (cron wakes), Telegram integration, and always-on feel—features missing here.",[22,3975,3976],{},"Prefer trigger.dev for custom needs: host agent SDK code with native crons cheaper than 8¢\u002Fhour, delegate subtasks seamlessly (author's prior video shows ClickUp polling). Claude Code desktop handles scheduled tasks locally, but cloud lacks robustness.",[22,3978,3979],{},"Use Managed Agents if agent-building newbie (no-code UI shines); skip if experienced—build via SDK + trigger.dev for scheduling, cost control, and customization.",[17,3981,3983],{"id":3982},"upcoming-features-could-close-gaps","Upcoming Features Could Close Gaps",[22,3985,3986],{},"Early access needed for:",[3940,3988,3989,3995,4001],{},[3943,3990,3991,3994],{},[3872,3992,3993],{},"Outcomes",": Agent self-evaluates against success criteria, iterates (like auto-research).",[3943,3996,3997,4000],{},[3872,3998,3999],{},"Multi-agent orchestration",": Coordinator invokes specialized callable agents (swarm pattern).",[3943,4002,4003,4006],{},[3872,4004,4005],{},"Persistent memory",": Context survives sessions, beyond manual logs.",[22,4008,4009],{},"These could enable robust pipelines, but current version suits simple, on-demand tasks only.",{"title":43,"searchDepth":44,"depth":44,"links":4011},[4012,4013,4014,4015],{"id":3918,"depth":44,"text":3919},{"id":3934,"depth":44,"text":3935},{"id":3969,"depth":44,"text":3970},{"id":3982,"depth":44,"text":3983},[50],"Full courses + unlimited support: https:\u002F\u002Fwww.skool.com\u002Fai-automation-society-plus\u002Fabout?el=managed-agents\nAll my FREE resources: https:\u002F\u002Fwww.skool.com\u002Fai-automation-society\u002Fabout?el=managed-agents\nApply for my YT podcast: https:\u002F\u002Fpodcast.nateherk.com\u002Fapply\nWork with me: https:\u002F\u002Fuppitai.com\u002F\n\nMy Tools💻\n14 day FREE n8n trial: https:\u002F\u002Fn8n.partnerlinks.io\u002F22crlu8afq5r\nCode NATEHERK to Self-Host Claude Code for 10% off (annual plan): https:\u002F\u002Fwww.hostinger.com\u002Fvps\u002Fclaude-code-hosting\nVoice to text: https:\u002F\u002Fref.wisprflow.ai\u002Fnateherk\n\nAnthropic just launched Managed Agents, and it's basically a way to build and deploy AI agents directly in their cloud without any infrastructure setup.\n\nIn this video I walk through how they work, what they cost, and what I actually built with them. I also break down why I'm a little disappointed and when you should (or shouldn't) use them compared to tools like Claude Code, trigger.dev, or OpenClaw.\n\nSponsorship Inquiries:\n📧 sponsorships@nateherk.com\n\nTIMESTAMPS \n0:00 Intro\n1:28 Building a Managed Agent\n2:57 Environments and Connecting Tools\n6:23 Agents Dashboard and Pricing\n8:01 What I Tried\n10:33 Features Coming Soon\n11:57 Building Managed Agents From the CLI\n14:55 Managed Agents vs OpenClaw\n16:16 Final Thoughts",{},"\u002Fsummaries\u002F50f5f35ffb6cedec-claude-managed-agents-easy-start-no-scheduling-summary","2026-04-08 22:30:13","2026-04-10 03:09:08",{"title":3908,"description":4017},{"loc":4019},"50f5f35ffb6cedec","Nate Herk | AI Automation","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=27Y44JYXZJ8","summaries\u002F50f5f35ffb6cedec-claude-managed-agents-easy-start-no-scheduling-summary",[87,88,89],"Anthropic's Managed Agents deploy AI agents in their cloud without infra setup via simple UI prompts or CLI, charging 8¢\u002Fhour per live session + tokens—but lack native scheduling, making trigger.dev better for production workflows.",[89],"rPUs9EbXA6e87Nav3iuNWRIdU1hZ0rslKm4-zQkjJ1g"]