SOCIAL MEDIA

PR Crisis Comment War-Room Spin-Up

Receives flagged comments via webhook, and when several high-PR-risk comments cluster within a short window.

CategorySocial Media
Enginesim
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFlagged comment received via webhookHTTP webhook
  • ActionConfirm PR-risk severity and themeOpenAI
  • LogicCheck flagged-comment cluster against crisis threshold
  • ActionCreate Slack war-room channel and seed commentsSlack
  • OutputOpen crisis-tracking Linear issue and link itLinearLinear

What it does

This workflow listens for already-flagged comments arriving via webhook and detects the difference between one bad comment and the start of a coordinated PR crisis. When high-risk comments cluster within a short window, it stops treating them as individual items and stands up a war room: a dedicated Slack channel for coordination and a Linear issue to track the response.

When to use it

Use it when a viral controversy can form in minutes and you need the comms team assembled in one place fast. It removes the scramble of manually creating a channel, pinging people, and opening a tracker while a story is actively spreading.

How it works

  1. 1A flagged comment arrives at the webhook endpoint.
  2. 2An LLM confirms PR-risk severity and theme for the incoming comment.
  3. 3A logic step checks the recent flagged-comment rate against the crisis threshold within a rolling window.
  4. 4If the cluster threshold is crossed, a dedicated Slack war-room channel is created and seeded with the offending comments.
  5. 5A crisis-tracking Linear issue is opened and linked into the new channel for ownership and timeline.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect LinearIssues, projects, cycles, triage.
  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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