AI AGENTS

Graduated Sanction Enforcer for Discord

On a confirmed violation, an agent checks the member's prior offense count in Notion and applies the correct escalating sanction — warning, timeout, or ban.

CategoryAI Agents
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerConfirmed-violation webhookHTTP webhook
  • ActionLook up member strike history in NotionNotionNotion
  • LogicMap strike count to sanction tier
  • ActionApply sanction in Discord (mute/timeout/ban)DiscordDiscord
  • ActionAppend new strike to case logNotionNotion
  • OutputPost enforcement confirmation to mod channelDiscordDiscord

What it does

Enforces a fair, consistent escalation ladder so the same offense always gets the same response regardless of which mod is on duty. The agent looks up how many prior strikes a member has, decides the next step on your ladder (warn, then mute, then 24h timeout, then ban), executes that action in Discord, and writes the updated strike record back to your case log.

When to use it

Use it when manual moderation produces inconsistent punishments or when mods forget a repeat offender's history. It makes "three strikes" actually mean three strikes, and it leaves an auditable trail for appeals.

How it works

  1. 1A confirmed-violation webhook fires (e.g. a mod approves a triage card).
  2. 2The agent queries the member's existing strike count from the Notion case database.
  3. 3A logic step maps total strikes to the next sanction tier on your ladder.
  4. 4The agent applies the sanction in Discord — role mute, timeout duration, or ban.
  5. 5It appends a new strike row to Notion with the offense, sanction, and timestamp.
  6. 6A confirmation is posted to the mod channel so the team sees what was enforced.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect HTTP webhookTrigger any URL on agent actions.
  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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