4 items across 3 sections
How the AI Execution Lab uses Claude Code to operate a high-velocity, evidence-based publishing system. Covers the workflow, the content pipeline, the evidence discipline, and the operational principles that separate this from generic AI content generation.
How the AI Execution Lab publishing workflow operates — Claude Code as the primary authoring tool, parallel background agents for high-volume sessions, MDX components as a structured content language, and build-time verification as the quality gate. Publishing velocity, failure detection rates, and the evidence-first content standard.
End-to-end case study: launching lab.asquaresolution.com — a public AI engineering journal built on Next.js 15 App Router, MDX content pipeline, Vercel deployment, custom content sections, and an execution tracks system.
Upgrading to next-mdx-remote v6 silently stripped all array and object literal props from JSX components in MDX. StepList, Checklist, and LessonObjectives rendered empty. Resolved in 41 minutes.