AI AGENTS

Approved Rebuttal to Filing Packet Generator

When a drafted rebuttal is marked approved in Coda, the agent formats it into a submission-ready comment, attaches a cited source appendix, and files it to Google Drive.

CategoryAI Agents
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerCoda row status changed to ApprovedCodaCoda
  • LogicConfirm approval and required fields
  • ActionFormat comment + build citation appendixOpenAI
  • ActionSave filing packet to Drive folderGoogle DriveGoogle Drive
  • OutputNotify filer packet is readySlack

What it does

This agent watches a Coda review table for rebuttal drafts whose status flips to Approved. On approval, it converts the draft into a properly formatted public-comment document, appends a numbered appendix of all cited sources, and saves the finished packet to a shared Google Drive folder ready for submission to the docket.

When to use it

Use it as the last mile of a rebuttal pipeline, once a human has signed off on content. It removes the manual formatting and citation-assembly work that sits between approval and an actual filing, so comments go out faster and consistently.

How it works

  1. 1A Coda row-changed trigger fires when a draft's status becomes Approved.
  2. 2A logic step confirms the status is Approved and the draft has required fields.
  3. 3OpenAI formats the approved text into a submission-ready comment with a citation appendix.
  4. 4The packet is written to a shared Google Drive folder.
  5. 5A Slack message notifies the filer that the packet is ready to submit.

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 Google DriveDocs, sheets, slides, 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.

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