AI AGENTS
New Rule Alert and Rebuttal Triage to Slack
Detects when a new proposed rule is posted to a watched docket, summarizes the regulatory impact, and routes a go/no-go rebuttal decision to a Slack channel.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled tight-cadence docket poll
- ActionScrape docket and extract filingsFirecrawl
- LogicBranch on newly posted proposed rule
- ActionSummarize regulatory impact and deadlineOpenAI
- OutputPost go/no-go triage card to SlackSlack
What it does
When a brand-new proposed rule or notice appears on a docket, this agent reads the full text, produces a plain-English impact summary, and posts a triage card to Slack asking the policy team whether to mount a comment campaign. It turns a buried Federal Register-style filing into an actionable decision in minutes.
When to use it
Use it when speed of awareness matters more than drafting volume: regulatory affairs teams that need to know the instant a rule drops and want a fast human go/no-go before committing legal resources to a formal comment.
How it works
- 1A scheduled trigger checks the docket on a tight cadence.
- 2Firecrawl scrapes the docket and extracts any filing tagged as a proposed rule or notice.
- 3A logic step branches: only newly published rules continue.
- 4OpenAI reads the rule text and produces an impact summary with affected stakeholders and a deadline.
- 5The triage card, with summary and comment-window deadline, posts to the policy Slack channel for a go/no-go reply.
Set it up
What you configure once, before turning it on.
- 1Connect FirecrawlCrawl, scrape, structured extract.
- 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.
More AI Agents workflows
Custom Metrics Cardinality Spike Pager
A webhook from a Datadog monitor fires when custom-metric cardinality jumps; an agent pinpoints the offending metric and tag, estimates the added cost.
Sentry-to-Confluence Runbook Updater
When a Sentry issue is resolved, the agent finds the matching Confluence runbook page and proposes an inline update with the verified fix.
Stale Doc-PR Chaser for Runbook Gaps
On a daily schedule the agent finds runbook doc PRs that were opened from resolved incidents but never reviewed, summarizes what each one fixes.
Resolved Incident to Public Troubleshooting Doc
For customer-facing errors resolved in Sentry, the agent drafts a sanitized troubleshooting entry and opens a PR to your ReadMe documentation.
On-Call Runbook Gap Closer: Resolved Sentry Issues to Doc PRs
An agent reads each newly resolved Sentry issue, compares the actual fix against your existing runbook, and opens a GitHub PR adding the missing remediation steps.
Weekly On-Call Doc-Gap Digest
Each week the agent reviews every Sentry issue resolved in the last 7 days, ranks the ones whose runbook coverage is missing or thin.
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.
