SOCIAL MEDIA

Open a Slack war-room thread for high-reach negative mentions

When a negative mention comes from a high-follower or high-engagement account, it instantly spins up a dedicated Slack thread with the post, the account's reach.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew mention webhookHTTP webhook
  • ActionEnrich author reach and velocityApify
  • ActionConfirm sentiment and draft replyOpenAI
  • LogicNegative AND high reach?
  • OutputOpen war-room thread with pingSlack

What it does

Not every negative mention matters equally. This workflow filters incoming mentions for sentiment AND reach, so a complaint from an account with a large following or fast-rising engagement triggers an immediate response while a no-name gripe doesn't. It opens a focused Slack thread containing the post, the account's reach signals, an AI-drafted reply for a human to approve, and a ping to the on-shift team.

When to use it

Use it when virality risk, not raw volume, is your worry — a journalist, creator, or competitor with a big megaphone posting something damaging. You want eyes on it in minutes, not in tomorrow's digest.

How it works

  1. 1A webhook trigger receives new mentions as your listening tool detects them.
  2. 2Apify enriches the mention with the author's follower count and engagement velocity.
  3. 3OpenAI confirms the sentiment is negative and drafts a candidate reply.
  4. 4A logic step gates on both negative sentiment and a reach threshold.
  5. 5Slack opens a war-room thread with the post, reach data, draft reply, and an @here ping.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect ApifyActors, scrapers, datasets.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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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