AI & RAG

Weekly Stale Knowledge Detector for the Coda Hub

Each week, scans the Coda knowledge hub for rows that are outdated, internally contradictory, or unsupported by their own linked sources.

CategoryAI & RAG
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires the scan
  • ActionPull active knowledge rows with dates and source linksCodaCoda
  • ActionEvaluate rows for staleness, contradiction, source mismatchOpenAI
  • LogicFilter to medium/high severity and rank
  • OutputSend prioritized cleanup digest to owner in SlackSlack

What it does

Keeps your grounded answer bot trustworthy by keeping its source clean. Weekly, it reviews knowledge rows in Coda, uses OpenAI to spot rows that look stale, self-contradictory, or whose linked source no longer supports the claim, and produces a ranked list of rows to fix so retrieval stays accurate.

When to use it

Use it when your Coda knowledge hub grows faster than anyone curates it and bad rows quietly degrade answer quality. Ideal for a knowledge owner who needs a short, prioritized cleanup queue instead of auditing everything by hand.

How it works

  1. 1A weekly schedule triggers the scan.
  2. 2The workflow pulls all active knowledge rows from Coda, including last-edited dates and linked source URLs.
  3. 3OpenAI evaluates each row for staleness signals, internal contradictions, and source-claim mismatch, returning an issue type and severity.
  4. 4A logic step filters to rows flagged at medium or high severity and ranks them.
  5. 5A digest of the top flagged rows, with direct Coda links and the reason each was flagged, is sent to the knowledge owner in Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect CodaDocs, packs, automations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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