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Case studyKnowledge & Brand

API Documentation Pipeline

Every external API the business pays for (people data, Google Maps, LinkedIn) gets documented by Claude Code into internal docs that future AI agents can read and use.

📖
3 external APIs → agent-ready internal docs
⚡ Docs written by AI, for AI

The problem

API knowledge lived in dashboards and one person's memory — every integration restarted from zero.

What Claude Code did

Claude Code explored each API, tested endpoints live, documented costs-per-call and gotchas, and filed it all where agents look first.

The result

New integrations start from working knowledge; even the AI's own future sessions onboard instantly.

Under the hood

Markdown docsLive endpoint testing

FAQ

Why does an AI write docs for an AI?

Because the next session — human or AI — shouldn't rediscover the same gotchas. Documentation is compounding leverage.

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