AI AGENTS

Discord Warning Appeal Intake Agent

When a warned member submits an appeal via webhook form, the agent pulls the original case from Postgres, assesses the appeal against it.

CategoryAI Agents
Enginepaperclip
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAppeal form submitted via webhookHTTP webhook
  • ActionLook up original warning case in PostgresPostgreSQLPostgres
  • ActionAgent assesses appeal against evidence
  • ActionDraft uphold/reduce/overturn recommendation
  • OutputPost case + recommendation to mod channelDiscordDiscord

What it does

Gives members a structured way to contest a warning and gives mods a pre-analyzed case. When an appeal comes in, the agent matches it to the original moderation record, weighs the member's explanation against the logged evidence, and posts a clear uphold-or-overturn recommendation that a human makes the final call on.

When to use it

When appeals arrive scattered across DMs and tickets with no link to the original incident. Use this to standardize intake through a form, automatically reunite each appeal with its source case, and hand mods a reasoned starting point instead of a cold re-investigation.

How it works

  1. 1An appeal form submission hits an incoming webhook.
  2. 2The agent looks up the referenced warning and its evidence in Postgres.
  3. 3It compares the member's appeal text against the original verdict and context.
  4. 4The agent drafts a recommendation (uphold, reduce, or overturn) with its reasoning.
  5. 5It posts the appeal, original case, and recommendation to the Discord mod review channel for a final human decision.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect DiscordCommunity channels + voice + bots.
  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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