AI AGENTS

Regulatory Docket Monitor with AI Rebuttal Drafts

Watches a regulatory docket on a schedule, detects newly posted rules and comments, and drafts evidence-backed public-comment counterpoints for human review.

CategoryAI Agents
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled docket check (every 6h)
  • ActionScrape docket page and extract filingsFirecrawl
  • LogicFilter to filings not seen before
  • ActionGather supporting evidence and precedentExa
  • ActionJudge relevance and draft rebuttalOpenAI
  • OutputWrite draft + sources to review docCodaCoda

What it does

This agent keeps a continuous watch on a single regulatory docket (for example, a proposed rule and its public-comment thread). When new filings appear, it reads them, judges whether each one warrants a response, and drafts a structured counterpoint comment grounded in cited evidence. Drafts land in a Coda doc tagged for a policy lead to approve.

When to use it

Use it when your organization tracks a high-stakes rulemaking and cannot afford to miss adverse comments or surprise amendments before the comment window closes. It replaces the daily manual refresh of a docket page with a monitored pipeline that surfaces only what needs a human decision.

How it works

  1. 1A scheduled trigger fires the run (for example, every 6 hours).
  2. 2Firecrawl scrapes the docket page and extracts the list of filings with dates and IDs.
  3. 3A logic step filters to filings not yet seen in the tracking table.
  4. 4Exa pulls supporting evidence and prior agency positions for each new filing.
  5. 5OpenAI judges relevance and drafts a rebuttal comment with citations.
  6. 6The draft and its source links are written to Coda for human review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FirecrawlCrawl, scrape, structured extract.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect CodaDocs, packs, automations.
  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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