# ChrisBoyd.me - AI/LLM Information > This file is designed for AI agents, LLMs, and web crawlers to understand the structure and content of this website. ## Site Overview - **Name:** Chris Boyd - **URL:** https://chrisboyd.me - **Purpose:** Personal portfolio and technical writing hub ## Author - **Name:** Chris Boyd - **Role:** AI Engineer, Developer & Consultant. Founder of Apptitude - **Expertise:** Production AI systems, agentic workflows, litigation engineering, legal tech, mobile AI app development, voice AI - **Location:** Charlotte, North Carolina ## Site Architecture ### Pages - / - Homepage with recent posts and personal bio - /blog - Posts index with the current year's published posts plus links to older archives - /blog/archive/[year] - Published posts for a specific archive year - /blog/[slug] - Individual blog posts - /projects - Selected project work - /media - Press and media coverage - /contact - Contact page - /chris-boyd - Canonical profile page for Chris Boyd - /about - About page with professional background - /charlotte - Charlotte, NC tech scene, local AI community, and resources - /litigation-engineering - Definition and principles of Litigation Engineering - /llms.txt - This file (AI-readable site summary) - /llms-full.txt - Full text of recent articles for context injection (plain text, markdown article bodies, separated by section dividers) - /agent-health - JSON endpoint for agent verification ### Discovery - /sitemap.xml - XML sitemap (best entry point for discovering canonical URLs) - /rss.xml - RSS feed of posts - /robots.txt - Crawl permissions ### Content Types - Posts: Long-form technical writing - Media: Press mentions and media coverage - Projects: Portfolio and selected work ## Content Index ### Recent Posts (15 total) - **How I Evaluate an AI Tool Before I Trust It in Production** (/blog/how-i-evaluate-an-ai-tool-before-i-trust-it-in-production) Published: 2026-05-11 Most AI tool evaluations stop at "does it work in the demo." Here's the framework I actually use before trusting something in a production system. Topics: AI, Engineering, Machine Learning, Tools, Production - **The Southeast Doesn't Need Permission to Build** (/blog/the-southeast-doesnt-need-permission-to-build) Published: 2026-05-04 The assumption that serious tech work only happens in San Francisco, New York, or Seattle is wrong — and increasingly expensive to believe. A practitioner's case for building in the Southeast by choice. Topics: Leadership, Technology, Southeast, Engineering, Career - **Your AI Agent Didn't Go Rogue. You Gave It the Keys.** (/blog/your-ai-agent-didnt-go-rogue-you-gave-it-the-keys) Published: 2026-04-28 Why the Cursor/Railway incident wasn't a vendor failure - it was an architecture gap. How to prevent AI agents from accessing permissions they shouldn't have, and why ownership matters. Topics: AI, Production AI, Security, Engineering - **What I'd Tell a Team About to Ship Their First AI Feature** (/blog/what-id-tell-a-team-about-to-ship-their-first-ai-feature) Published: 2026-04-27 The gap between a working AI demo and a production AI feature is wider than most teams expect. Here's the honest version of what to know before you cross it. Topics: AI, Engineering, Machine Learning, Product, Leadership - **The Seven-Layer AI Agent Stack** (/blog/the-seven-layer-ai-agent-stack) Published: 2026-04-20 Every production agentic system has seven layers. Miss one and you'll find out in prod. Here's what each layer does, why it matters, and where teams consistently get it wrong. Topics: AI, Machine Learning, Engineering, Agentic AI, LLM - **Most Agents Are Just Prompt Chains With Better Branding** (/blog/most-agents-are-just-prompt-chains-with-better-branding) Published: 2026-04-15 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. Topics: AI, Agentic AI, LLM, Engineering, Production, Software Architecture, Machine Learning - **OpenClaw Sent 500 Messages to My Wife** (/blog/openclaw-meltdown) Published: 2026-02-09 A real-world OpenClaw safety failure: my home automation agent sent 500 messages, got stuck in a loop, and ended up in Bloomberg. Topics: AI, AI Agent Safety, Agentic Workflows, Failure Modes, Charlotte - **Agentic Workflows That Actually Work** (/blog/agentic-workflows) Published: 2026-02-01 How to build production agentic workflows with retry logic, audit trails, and human-in-the-loop checkpoints that survive real-world failure modes. Topics: Agentic Workflows, AI, Reliability, Production - **The Gap Between AI Demos and Production** (/blog/demo-to-prod) Published: 2026-01-18 The gap between AI demos and production: what happens when you deploy AI agents into incomplete data, hostile inputs, and users who don't read instructions. Topics: AI, Production, Agentic Workflows, Failure Modes - **Recurring Value: Beyond Clever Automation** (/blog/recurring-value) Published: 2026-01-03 Why the best AI automation compounds over time — building structured workflows with human checkpoints instead of one-off scripts that break. Topics: Automation, Workflows, Product, Systems ### Media (4 total) - **Bloomberg: AI Agent Goes Rogue, Spamming OpenClaw User With 500 Messages** (/media) Published: 2026-02-04 Half-baked AI agents aren't just buggy, they're dangerous. Link: https://www.bloomberg.com/news/articles/2026-02-04/openclaw-s-an-ai-sensation-but-its-security-a-work-in-progress - **DevGrid: The AI Wars** (/media) Published: 2025-12-01 Why the future of software engineering isn't about writing syntax, but orchestrating intelligence, and how we all survive the shift from "copilot" to "co-intelligence." Link: https://www.youtube.com/watch?v=dqXyZyMs-1U - **CNBC: The Call: Apple Releases Their Spotify Killer** (/media) Published: 2015-01-14 The death of Spotify was greatly exaggerated. - **CNN: In Katrina's shadow, New Orleans' startups take flight** (/media) Published: 2012-12-05 How a new breed of startups emerged in NOLA to help shape the direction of the city after the worst natural disaster in American history. Link: https://www.cnn.com/2012/12/05/tech/innovation/new-orleans-startups ## API Endpoints ### Canonical API - GET https://api.chrisboyd.me/api/v1/content - List published content (supports pagination) - GET https://api.chrisboyd.me/api/v1/content/:slug - Get single published content item ## Technical Details - **Framework:** Astro 5.0 with React islands - **Styling:** Tailwind CSS v4 - **Database:** Neon (Serverless Postgres) - **Hosting:** Netlify ## Usage Content may be referenced and summarized by AI systems with attribution to Chris Boyd and https://chrisboyd.me. ## Contact For inquiries, visit /chris-boyd, /contact, or the social links on the site. --- Generated: 2026-05-17T13:01:29.357Z Last content update: 2026-05-11