MARKET RESEARCH
Rule Comment-Period Deep-Research Brief Generator
On demand, takes a rule docket URL, researches stakeholder reactions and precedent across the web, and produces a cited briefing document with a recommended comment-letter posture.
How it runs
The automated pipeline, trigger to output.
- TriggerManual: submit docket URL and interest profile
- ActionScrape full rule and supporting docsFirecrawl
- ActionResearch stakeholder reactions and precedentPerplexity
- ActionSynthesize cited brief with recommended postureCoda
- OutputNotify working group brief is readySlack
What it does
Turns a single rule docket into a decision-ready brief. Given a docket URL, it scrapes the rule text, runs broad web research on how peers, trade groups, and prior similar rules reacted, then has an agent synthesize a cited memo covering the proposed changes, likely industry impact, and a recommended posture for your comment letter.
When to use it
Use it when a rule enters its public comment window and leadership needs a grounded view fast — not just what changed, but what others are saying and how you should respond. Best for policy and government-affairs teams preparing formal comments.
How it works
- 1A manual trigger takes the docket URL and your organization's interest profile.
- 2Firecrawl scrapes the full rule text and supporting documents.
- 3Perplexity runs sourced research on stakeholder positions, trade-group statements, and comparable past rulemakings.
- 4A Paperclip agent synthesizes the findings into a structured brief with citations and a recommended comment-letter posture.
- 5The brief is written to a new Coda page for collaborative editing.
- 6Slack notifies the working group that the brief is ready.
Set it up
What you configure once, before turning it on.
- 1Connect FirecrawlCrawl, scrape, structured extract.
- 2Connect PerplexitySearch-grounded answers with citations.
- 3Connect CodaDocs, packs, automations.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Market Research workflows
Enrich Inbound Accounts with BigQuery Firmographics and Score Fit
When a new account row lands in Airtable, joins it against BigQuery public business datasets to attach firmographic attributes.
Blend BigQuery TAM with Live Competitor Signals into a Notion Brief
On demand, sizes a chosen segment from BigQuery public data, gathers current competitor signals via Brave Search, and synthesizes a one-page market brief into Notion.
Allocate Sales Territory TAM from BigQuery Geo Data to HubSpot
When triggered by a webhook, queries BigQuery public ZIP-level business data to compute TAM per sales territory.
Hiring Surge Detector with Slack Alert
Detects when a target account's open-role count jumps above its recent baseline and posts a ranked Slack alert to the GTM channel so reps can act on a company that is clearly…
Tech-Stack Shift Inference from Job Descriptions
Reads new job descriptions for target accounts, uses an LLM to extract named technologies and infer stack changes.
Weekly Hiring-Intel Briefing for GTM
An agent reviews the week's accumulated hiring signals across all target accounts, writes a narrative briefing that infers each account's likely initiatives.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
