SOCIAL MEDIA

Discord pile-on detector with comms pager

Watches a Discord server for a sudden burst of negative messages in one channel and pages the comms owner in Slack with a context pack of the offending thread and tone summary.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Discord messages in watched channelsDiscordDiscord
  • ActionScore sentiment and detect convergence on a targetOpenAI
  • LogicNegative volume and velocity both cross threshold?
  • ActionDraft context pack with holding responseOpenAI
  • OutputPage comms owner in Slack with @hereSlack

What it does

Monitors busy Discord channels for a brewing pile-on — a fast cluster of frustrated, angry, or coordinated negative messages aimed at your team or product. When the negativity rate crosses your threshold, it pages the on-call comms owner in Slack with a ready-to-act context pack instead of a raw firehose.

When to use it

Run this when your community lives in Discord and a single bad release note or moderation decision can spiral into a thread of pile-on within minutes. It buys the comms owner the 15 minutes that matter.

How it works

  1. 1A new batch of Discord messages in watched channels triggers the flow.
  2. 2OpenAI scores each message for sentiment and detects whether replies are converging on one target (a pile-on signal).
  3. 3A logic step checks whether negative volume and velocity both cross the configured threshold inside a rolling window.
  4. 4If they do, OpenAI drafts a context pack: the triggering message, top quoted replies, tone summary, and a suggested holding response.
  5. 5The pack is posted to the comms owner's Slack channel with an @here page.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  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.

Run this workflow in your colony.

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