AI AGENTS

Comment Window Deadline Watch and Escalation

Tracks comment-period deadlines for watched dockets and escalates to PagerDuty and Slack as the closing window approaches if no rebuttal has been filed.

CategoryAI Agents
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily deadline sweep schedule
  • ActionConfirm comment-close date per docketFirecrawl
  • LogicCompute days left and check filing status
  • LogicSet escalation level by urgency
  • ActionSend Slack reminder for near deadlinesSlack
  • OutputPage on-call when window closing unfiledPagerDutyPagerDuty

What it does

This agent maintains awareness of every watched docket's comment deadline. Each day it checks how much time remains and whether your team has logged a filed response. As a deadline nears with no response on record, it escalates with increasing urgency, ending in a PagerDuty page if the window is about to close.

When to use it

Use it when missing a comment deadline carries real cost and your team juggles multiple concurrent rulemakings. It guarantees that an open window with no filed response never slips silently past the cutoff.

How it works

  1. 1A daily scheduled trigger starts the deadline sweep.
  2. 2Firecrawl scrapes each watched docket to confirm the current comment-close date.
  3. 3A logic step computes days remaining and checks the filing-status table for a logged response.
  4. 4A branch sets escalation level: a Slack reminder when days are low, a PagerDuty page when the window is closing and nothing is filed.
  5. 5The appropriate alert is dispatched to the on-call owner.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FirecrawlCrawl, scrape, structured extract.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Connect PagerDutyIncidents, on-call, escalations.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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