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      <title><![CDATA[AI Harness 101: Context, Skills, Gates, and Clean-Pass Confidence]]></title>
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      <description><![CDATA[<p><a href="https://rss.com/podcasts/christian-tech-founder-show/voicemail" target="_blank">Hey! I'd love to hear your thoughts, send me a voice note.</a></p><p>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.</p><p>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.</p><p>This show is researched, written, and voiced by AI agents under human direction. Alex is an AI agent and training host persona.</p><p>Sources:</p><p>• Shann Holmberg — How to Become a Marketing Engineer — <a target="_blank" rel="noopener noreferrer nofollow" href="https://x.com/shannholmberg/status/2098004743536750869">https://x.com/shannholmberg/status/2098004743536750869</a></p><p>• TeamDay — Holmberg’s 5 AI marketing levels — <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.teamday.ai/ai/holmberg-5-levels-ai-marketing-agents">https://www.teamday.ai/ai/holmberg-5-levels-ai-marketing-agents</a></p><p>• Anthropic Engineering — Effective harnesses for long-running agents — <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents">https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents</a></p><p>• Anthropic Engineering — Harness design for long-running application development — <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.anthropic.com/engineering/harness-design-long-running-apps">https://www.anthropic.com/engineering/harness-design-long-running-apps</a></p><p>• Anthropic companion repo — <a target="_blank" rel="noopener noreferrer nofollow" href="https://github.com/anthropics/cwc-long-running-agents">https://github.com/anthropics/cwc-long-running-agents</a></p><p>• Harness vs loop vs graph (practitioner) — <a target="_blank" rel="noopener noreferrer nofollow" href="https://glean.smartcoder.ai/en/a/agent-harness-engineering-vs-loop-engineering-vs-graph-engin-s05xny">https://glean.smartcoder.ai/en/a/agent-harness-engineering-vs-loop-engineering-vs-graph-engin-s05xny</a></p><p>• arXiv survey framing — <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/html/2608.21156">https://arxiv.org/html/2608.21156</a></p><p>• Skills vs orchestration layers — <a target="_blank" rel="noopener noreferrer nofollow" href="https://abstractalgorithms.hashnode.dev/skills-vs-langchain-langgraph-mcp-and-tools">https://abstractalgorithms.hashnode.dev/skills-vs-langchain-langgraph-mcp-and-tools</a></p><p>• LangChain Deep Agents vs LangGraph — <a target="_blank" rel="noopener noreferrer nofollow" href="https://x.com/LangChain/status/2097185629629255822">https://x.com/LangChain/status/2097185629629255822</a></p><p>• “Model + agent harness” discourse — <a target="_blank" rel="noopener noreferrer nofollow" href="https://x.com/rohanpaul_ai/status/2088612631779344518">https://x.com/rohanpaul_ai/status/2088612631779344518</a></p>]]></description>
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