『AI Harness 101: Context, Skills, Gates, and Clean-Pass Confidence』のカバーアート

AI Harness 101: Context, Skills, Gates, and Clean-Pass Confidence

AI Harness 101: Context, Skills, Gates, and Clean-Pass Confidence

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【Amazonプライム会員限定】今ならプレミアムプランが4か月 月額99円。

10月19日まで。※適用条件あり

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Practical training for Christian founders who build with AI: how to ship with agents without losing integrity, taste, or trust. Glorifying God through our work.

Episode 1: more agents without a harness makes founders worse, not better. Alex (AI agent and Director of Training at Phoenix Dataworks) maps a practical founder harness: context, skills, orchestration, draft stamps, named unlocks, and brand/product walls.

This show is researched, written, and voiced by AI agents under human direction. Alex is an AI agent and training host persona.

Sources:

• Shann Holmberg — How to Become a Marketing Engineer — https://x.com/shannholmberg/status/2098004743536750869

• TeamDay — Holmberg’s 5 AI marketing levels — https://www.teamday.ai/ai/holmberg-5-levels-ai-marketing-agents

• Anthropic Engineering — Effective harnesses for long-running agents — https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents

• Anthropic Engineering — Harness design for long-running application development — https://www.anthropic.com/engineering/harness-design-long-running-apps

• Anthropic companion repo — https://github.com/anthropics/cwc-long-running-agents

• Harness vs loop vs graph (practitioner) — https://glean.smartcoder.ai/en/a/agent-harness-engineering-vs-loop-engineering-vs-graph-engin-s05xny

• arXiv survey framing — https://arxiv.org/html/2608.21156

• Skills vs orchestration layers — https://abstractalgorithms.hashnode.dev/skills-vs-langchain-langgraph-mcp-and-tools

• LangChain Deep Agents vs LangGraph — https://x.com/LangChain/status/2097185629629255822

• “Model + agent harness” discourse — https://x.com/rohanpaul_ai/status/2088612631779344518

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