SOCIAL MEDIA

Agent triages inbound mention alerts in real time

Receives mention alerts via webhook, has an agent investigate the post and author, decides the right action, and either drafts a reply, files a ticket.

CategorySocial Media
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps4
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook: new mention alert receivedHTTP webhook
  • ActionAgent researches author and contextBraveBrave Search
  • LogicAgent decides: reply / ticket / escalate
  • OutputPost action and reasoning to Slack for sign-offSlack

What it does

This workflow uses an agent to handle brand mentions the moment they arrive over a webhook. The agent reads the post, looks up context about the author and the topic, judges urgency and tone, and chooses what to do rather than following a fixed branch.

When to use it

Use it when mentions are too nuanced for a simple sentiment rule and you want judgment: distinguishing sarcasm from praise, a real outage report from a one-off gripe, or a press inquiry from noise. The agent explains its decision so a human can override.

How it works

  1. 1An incoming webhook fires whenever your monitoring tool detects a new mention and posts its payload.
  2. 2The agent reads the mention and uses web search to research the author and any referenced incident.
  3. 3The agent decides on an action: draft a public reply, open an internal ticket, or escalate untouched.
  4. 4For drafts and tickets it prepares the content; for escalations it summarizes why it is uncertain.
  5. 5It posts the chosen action plus its reasoning to a Slack review channel for sign-off.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect Brave SearchWeb, news, image, video search.
  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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