AI AGENTS

High-severity Discord violations escalated to Slack on-call

When a Discord message scores as high-severity (threats, doxxing, CSAM signals), an agent immediately drafts an urgent decision and pages the trust-and-safety on-call in Slack…

CategoryAI Agents
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Discord message or report receivedDiscordDiscord
  • ActionScore severity with Hugging Face classifierHugging FaceHugging Face
  • LogicGate to high-confidence, high-severity only
  • ActionAgent drafts urgent decision + rationale
  • OutputPage trust-and-safety on-call in SlackSlack
  • ActionApply approved action back in DiscordDiscordDiscord

What it does

Fast-paths only the dangerous stuff. Routine reports stay in your normal queue; this workflow fires when a message trips a high-severity threshold and needs a human within minutes. The agent drafts a recommended emergency action with rationale and pushes it to a Slack on-call channel where trust-and-safety can act instantly.

When to use it

Use it for the cases where delay is harmful — credible threats, doxxing, coordinated harassment, or illegal-content signals. Pair it with your regular review workflow so low-severity reports don't page anyone, and these never wait in a backlog.

How it works

  1. 1A new Discord message or report fires the trigger.
  2. 2A Hugging Face model scores the content across severe-harm categories.
  3. 3Logic gates hard: only high-confidence high-severity hits continue; everything else exits silently.
  4. 4The agent drafts an urgent decision — recommended action, affected users, and rationale.
  5. 5It posts an alert to the Slack trust-and-safety on-call channel with approve and override actions.
  6. 6On approval the agent applies the action back in Discord and timestamps the resolution.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  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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