AI & RAG

Turn Coda Changelog Entries into Draft ReadMe Article Updates

When a new release row is added to a Coda changelog, the agent drafts or revises the matching ReadMe article to reflect the change and posts it to a review channel for a writer…

CategoryAI & RAG
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew row added to Coda changelogCodaCoda
  • ActionFind affected ReadMe articleReadMeReadMe
  • LogicBranch: revise existing or draft new
  • ActionDraft updated article copy from changelogOpenAI
  • OutputPost draft and diff to Slack review channelSlack

What it does

Closes the loop between shipping a change and documenting it. The moment a release is logged in your Coda changelog table, this workflow finds the ReadMe article it affects, has an LLM draft the updated copy reflecting the new behavior, and routes the draft to a Slack review channel — so docs trail releases by minutes, not weeks.

When to use it

Use this when product moves faster than your docs and changelog entries are your most reliable signal of what changed. Best for teams that already maintain a structured Coda changelog and publish customer docs in ReadMe.

How it works

  1. 1A new row added to the Coda changelog table triggers the flow.
  2. 2The flow reads the changelog details and searches ReadMe for the article most affected by the change.
  3. 3A branch checks whether a matching article exists, choosing between revise-existing and draft-new.
  4. 4OpenAI produces updated article copy grounded in the changelog entry and the current article text.
  5. 5The proposed draft, with a diff summary and the source changelog link, is posted to the docs review Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect CodaDocs, packs, automations.
  2. 2
    Connect ReadMeAPI docs, changelog, auth.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    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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