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The scenario

You’re debugging a 502 error on the payments webhook endpoint. Your team has a ChatGrid board with architecture docs, tutorials, and past incident postmortems. The notes and extracted source text have already been vectorized, so Claude Code can search them. Here’s how you use it without leaving the terminal.

Step 1: Search for relevant knowledge

Claude Code finds two relevant vectorized sources:
  • A postmortem from February about webhook timeouts
  • Jordan’s architecture notes about the retry system

Step 2: Get context on the architecture

Claude Code searches the board and responds with specifics from your team’s docs — not generic advice.
Alex added a YouTube tutorial last week and vectorized the transcript notes. The relevant section is returned from those searchable notes.

Step 4: Add what you learn

You figure out the issue: the webhook timeout was set to 5 seconds, but Stripe sometimes takes 8 seconds to send the full payload. Save that knowledge for the team:
Now the next person who hits this issue will find your notes instantly.

Step 5: Ask a broader question

AI synthesizes across the searchable board text - postmortems, architecture notes, and tutorial transcript notes - and gives you a prioritized answer.

The full loop

Every debugging session makes the board smarter. Knowledge compounds instead of disappearing.

More example prompts

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