AI & RAG
Agent that rewrites the stalest Coda pages
Weekly, an agent picks the lowest-graded Coda pages, drafts a freshness-corrected rewrite from the source of truth, and posts it as a suggested revision for human approval.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule starts the agent
- ActionSelect lowest-graded pages from CodaCoda
- ActionRetrieve page + source-of-truth contextCoda
- LogicDraft corrected rewrite with changelogOpenAI
- ActionPost suggested revision sub-page in CodaCoda
- OutputSend review request to owner in SlackSlack
What it does
Goes beyond scoring and actually drafts fixes. Each week an agent selects the most stale Coda pages by freshness grade, reads both the current page and the relevant source-of-truth material, and writes a corrected draft that reconciles the two. The draft is posted as a clearly marked suggested revision plus a changelog of what it updated, leaving the final merge to a human.
When to use it
Use it when grading and backlog-filing aren't enough and you want a head start on the actual rewrite. Best for high-volume wikis where editors are the bottleneck and you trust a review step before publishing.
How it works
- 1A weekly schedule starts the agent.
- 2It reads freshness grades and selects the lowest-scoring pages.
- 3For each, it retrieves the page plus related source-of-truth context.
- 4The agent reasons over both and drafts a freshness-corrected version with a changelog.
- 5The draft is posted as a suggested-revision sub-page in Coda.
- 6A review request with the changelog is sent to the page owner in Slack.
Set it up
What you configure once, before turning it on.
- 1Connect CodaDocs, packs, automations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
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Run this workflow in your colony.
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