SOCIAL MEDIA

Realtime Repeated-Question Spike Alerter

Watches incoming comments via webhook and, when the same question suddenly spikes across posts, fires a Slack alert with the matched comments so the team can respond before it…

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerwebhook
Steps4
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew comment arrives via webhookHTTP webhook
  • ActionClassify comment into canonical topicOpenAI
  • LogicUpdate rolling count and test spike threshold
  • OutputPost spike alert to Slack on-call channelSlack

What it does

This workflow catches emerging question storms in real time. As comments arrive via webhook, it matches each one against known FAQ topics with an LLM and tracks how fast a topic is recurring. When a single question crosses a velocity threshold in a short window, it posts a focused Slack alert naming the topic, the count, and links to the offending comments.

When to use it

Use it during launches, outages, or pricing changes when one confusing detail can trigger a flood of identical questions. It lets you pin a clarifying reply or ship an FAQ update while the spike is still small rather than discovering it days later.

How it works

  1. 1An incoming-comment webhook triggers on each new comment event.
  2. 2An OpenAI step classifies the comment into a canonical question topic.
  3. 3A logic step increments the topic's rolling count and checks it against the spike threshold.
  4. 4If the threshold is crossed, the workflow continues; otherwise it ends quietly.
  5. 5A Slack message delivers the alert with topic, velocity, and direct comment links to the on-call channel.

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
    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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