AI & RAG
Weekly Audit Flagging ReadMe Docs That Contradict Coda Source of Truth
On a weekly schedule, compares published ReadMe articles against the canonical Coda product spec and posts a Slack digest of docs that appear outdated or contradictory.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionFetch canonical spec from CodaCoda
- ActionList published ReadMe articlesReadMe
- ActionCompare and rate each article for driftOpenAI
- LogicFilter to stale or contradictory articles
- OutputPost staleness digest to SlackSlack
What it does
Keeps your public ReadMe docs honest against the internal Coda source of truth. Every week it pulls the current product spec from Coda, compares it against published ReadMe articles, and uses an LLM to flag passages that contradict or lag the spec — then sends a digest to Slack so writers can fix the highest-impact drift first.
When to use it
Use this when product details change faster than docs get updated and you need a recurring safety net to catch silent staleness before customers do. Best for teams treating a Coda doc as the canonical spec.
How it works
- 1A weekly schedule trigger starts the audit.
- 2The flow fetches the canonical spec rows from Coda and the list of published ReadMe articles.
- 3OpenAI compares each article against the relevant spec section and rates whether it is current, stale, or contradictory.
- 4A filter keeps only articles flagged stale or contradictory, with the specific discrepancy noted.
- 5A formatted digest of flagged docs and reasons is posted to the docs team Slack channel.
Set it up
What you configure once, before turning it on.
- 1Connect CodaDocs, packs, automations.
- 2Connect ReadMeAPI docs, changelog, auth.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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