AI AGENTS
Discord flagged-message moderation review with human sign-off
When a member reports a Discord message, an agent classifies the violation, drafts a moderation decision with rationale.
How it runs
The automated pipeline, trigger to output.
- TriggerMember reports a Discord messageDiscord
- ActionFetch message + surrounding channel contextDiscord
- ActionScore content with Hugging Face toxicity classifierHugging Face
- LogicDismiss low-confidence false alarms, escalate the rest
- ActionAgent drafts moderation decision + rationale
- OutputOpen private review thread for moderator sign-offDiscord
What it does
Turns ad-hoc Discord reports into structured, reviewable moderation decisions. An agent reads the flagged message and its surrounding context, classifies the likely rule violation, recommends an action (warn, mute, delete, no-action), and writes a plain-language rationale. Nothing is enforced automatically — the recommendation lands in a moderator-only thread for a human to sign off on.
When to use it
Use it when your server gets enough reports that moderators can't triage every one from scratch, but you still want a human making the final call. Ideal for communities with a written code of conduct where consistency and an audit trail matter.
How it works
- 1A Discord report (reaction flag or `/report` command) fires the trigger with the offending message ID.
- 2The agent pulls the message plus a few lines of channel context for tone and intent.
- 3A Hugging Face text-classification model scores the content for toxicity and harassment categories.
- 4Logic branches: clear false-alarms are auto-dismissed; anything above threshold proceeds.
- 5The agent drafts a decision card — violated rule, recommended action, confidence, and rationale.
- 6It opens a private Discord review thread tagging the on-call moderator for approve/override.
Set it up
What you configure once, before turning it on.
- 1Connect DiscordCommunity channels + voice + bots.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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