<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Chris Boyd</title><description>AI engineer Chris Boyd on production AI systems, agentic workflows, litigation engineering, and building software that works when it matters.</description><link>https://chrisboyd.me/</link><language>en-us</language><item><title>How I Evaluate an AI Tool Before I Trust It in Production</title><link>https://chrisboyd.me/blog/how-i-evaluate-an-ai-tool-before-i-trust-it-in-production/</link><guid isPermaLink="true">https://chrisboyd.me/blog/how-i-evaluate-an-ai-tool-before-i-trust-it-in-production/</guid><description>Most AI tool evaluations stop at &quot;does it work in the demo.&quot; Here&apos;s the framework I actually use before trusting something in a production system.</description><pubDate>Mon, 11 May 2026 13:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><category>Machine Learning</category><category>Tools</category><category>Production</category><author>Chris Boyd</author></item><item><title>The Southeast Doesn&apos;t Need Permission to Build</title><link>https://chrisboyd.me/blog/the-southeast-doesnt-need-permission-to-build/</link><guid isPermaLink="true">https://chrisboyd.me/blog/the-southeast-doesnt-need-permission-to-build/</guid><description>The assumption that serious tech work only happens in San Francisco, New York, or Seattle is wrong — and increasingly expensive to believe. A practitioner&apos;s case for building in the Southeast by choice.</description><pubDate>Mon, 04 May 2026 13:00:00 GMT</pubDate><category>Leadership</category><category>Technology</category><category>Southeast</category><category>Engineering</category><category>Career</category><author>Chris Boyd</author></item><item><title>Your AI Agent Didn&apos;t Go Rogue. You Gave It the Keys.</title><link>https://chrisboyd.me/blog/your-ai-agent-didnt-go-rogue-you-gave-it-the-keys/</link><guid isPermaLink="true">https://chrisboyd.me/blog/your-ai-agent-didnt-go-rogue-you-gave-it-the-keys/</guid><description>Why the Cursor/Railway incident wasn&apos;t a vendor failure - it was an architecture gap. How to prevent AI agents from accessing permissions they shouldn&apos;t have, and why ownership matters.</description><pubDate>Tue, 28 Apr 2026 13:00:00 GMT</pubDate><category>AI</category><category>Production AI</category><category>Security</category><category>Engineering</category><author>Chris Boyd</author></item><item><title>What I&apos;d Tell a Team About to Ship Their First AI Feature</title><link>https://chrisboyd.me/blog/what-id-tell-a-team-about-to-ship-their-first-ai-feature/</link><guid isPermaLink="true">https://chrisboyd.me/blog/what-id-tell-a-team-about-to-ship-their-first-ai-feature/</guid><description>The gap between a working AI demo and a production AI feature is wider than most teams expect. Here&apos;s the honest version of what to know before you cross it.</description><pubDate>Mon, 27 Apr 2026 13:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><category>Machine Learning</category><category>Product</category><category>Leadership</category><author>Chris Boyd</author></item><item><title>The Seven-Layer AI Agent Stack</title><link>https://chrisboyd.me/blog/the-seven-layer-ai-agent-stack/</link><guid isPermaLink="true">https://chrisboyd.me/blog/the-seven-layer-ai-agent-stack/</guid><description>Every production agentic system has seven layers. Miss one and you&apos;ll find out in prod. Here&apos;s what each layer does, why it matters, and where teams consistently get it wrong.</description><pubDate>Mon, 20 Apr 2026 13:00:00 GMT</pubDate><category>AI</category><category>Machine Learning</category><category>Engineering</category><category>Agentic AI</category><category>LLM</category><author>Chris Boyd</author></item><item><title>Most Agents Are Just Prompt Chains With Better Branding</title><link>https://chrisboyd.me/blog/most-agents-are-just-prompt-chains-with-better-branding/</link><guid isPermaLink="true">https://chrisboyd.me/blog/most-agents-are-just-prompt-chains-with-better-branding/</guid><description>A practical, opinionated breakdown of agentic AI development for builders who are done with demos and want to know what actually works in production — covering orchestration, failure modes, guardrails, and the patterns worth betting on.</description><pubDate>Wed, 15 Apr 2026 22:12:15 GMT</pubDate><category>AI</category><category>Agentic AI</category><category>LLM</category><category>Engineering</category><category>Production</category><category>Software Architecture</category><category>Machine Learning</category><author>Chris Boyd</author></item><item><title>OpenClaw Sent 500 Messages to My Wife</title><link>https://chrisboyd.me/blog/openclaw-meltdown/</link><guid isPermaLink="true">https://chrisboyd.me/blog/openclaw-meltdown/</guid><description>A real-world OpenClaw safety failure: my home automation agent sent 500 messages, got stuck in a loop, and ended up in Bloomberg.</description><pubDate>Mon, 09 Feb 2026 05:00:00 GMT</pubDate><category>AI</category><category>AI Agent Safety</category><category>Agentic Workflows</category><category>Failure Modes</category><category>Charlotte</category><author>Chris Boyd</author></item><item><title>Agentic Workflows That Actually Work</title><link>https://chrisboyd.me/blog/agentic-workflows/</link><guid isPermaLink="true">https://chrisboyd.me/blog/agentic-workflows/</guid><description>How to build production agentic workflows with retry logic, audit trails, and human-in-the-loop checkpoints that survive real-world failure modes.</description><pubDate>Sun, 01 Feb 2026 05:00:00 GMT</pubDate><category>Agentic Workflows</category><category>AI</category><category>Reliability</category><category>Production</category><author>Chris Boyd</author></item><item><title>The Gap Between AI Demos and Production</title><link>https://chrisboyd.me/blog/demo-to-prod/</link><guid isPermaLink="true">https://chrisboyd.me/blog/demo-to-prod/</guid><description>The gap between AI demos and production: what happens when you deploy AI agents into incomplete data, hostile inputs, and users who don&apos;t read instructions.</description><pubDate>Sun, 18 Jan 2026 05:00:00 GMT</pubDate><category>AI</category><category>Production</category><category>Agentic Workflows</category><category>Failure Modes</category><author>Chris Boyd</author></item><item><title>Recurring Value: Beyond Clever Automation</title><link>https://chrisboyd.me/blog/recurring-value/</link><guid isPermaLink="true">https://chrisboyd.me/blog/recurring-value/</guid><description>Why the best AI automation compounds over time — building structured workflows with human checkpoints instead of one-off scripts that break.</description><pubDate>Sat, 03 Jan 2026 05:00:00 GMT</pubDate><category>Automation</category><category>Workflows</category><category>Product</category><category>Systems</category><author>Chris Boyd</author></item><item><title>Litigation Engineering: When AI Meets High Stakes</title><link>https://chrisboyd.me/blog/litigation-engineering/</link><guid isPermaLink="true">https://chrisboyd.me/blog/litigation-engineering/</guid><description>How litigation engineering changes the way you build AI pipelines — chain of custody, reproducibility, and audit trails for systems where outputs become evidence.</description><pubDate>Tue, 30 Dec 2025 05:00:00 GMT</pubDate><category>Litigation Engineering</category><category>Legal Tech</category><category>AI</category><author>Chris Boyd</author></item><item><title>The Update That Crashed WordPress</title><link>https://chrisboyd.me/blog/wordpress-crash/</link><guid isPermaLink="true">https://chrisboyd.me/blog/wordpress-crash/</guid><description>Lessons from shipping a crash to millions of WordPress iOS users — why relentless testing, small increments, and graceful failure modes matter.</description><pubDate>Mon, 29 Dec 2025 05:00:00 GMT</pubDate><category>iOS</category><category>Mobile</category><category>Reliability</category><category>Testing</category><author>Chris Boyd</author></item><item><title>Building Systems That Survive Contact With Humans</title><link>https://chrisboyd.me/blog/human-proof-systems/</link><guid isPermaLink="true">https://chrisboyd.me/blog/human-proof-systems/</guid><description>Practical patterns for building reliable systems that handle incomplete inputs, confused users, and the failure modes that happen in production.</description><pubDate>Sat, 27 Dec 2025 05:00:00 GMT</pubDate><category>Systems</category><category>Reliability</category><category>Human Factors</category><category>Failure Modes</category><author>Chris Boyd</author></item><item><title>Silicon Bayou Rising</title><link>https://chrisboyd.me/blog/silicon-bayou/</link><guid isPermaLink="true">https://chrisboyd.me/blog/silicon-bayou/</guid><description>Why I founded Apptitude in post-Katrina New Orleans instead of Brooklyn — building a tech startup in a city that was rebuilding itself.</description><pubDate>Mon, 22 Dec 2025 05:00:00 GMT</pubDate><category>Entrepreneurship</category><category>Startups</category><category>New Orleans</category><author>Chris Boyd</author></item><item><title>From Roadie to Developer: Loading Gear for Ringo</title><link>https://chrisboyd.me/blog/roadie-to-dev/</link><guid isPermaLink="true">https://chrisboyd.me/blog/roadie-to-dev/</guid><description>From loading trucks for Ringo Starr in Silicon Valley to building production AI systems — the path from celebrity roadie to software engineer.</description><pubDate>Sat, 20 Dec 2025 05:00:00 GMT</pubDate><category>Career</category><category>Execution</category><category>Operations</category><author>Chris Boyd</author></item></channel></rss>