AI AGENTS
Real-Time Discord Message Watchdog
Watches every new message in monitored channels, scores it for toxicity, scams, and spam in real time, and auto-removes clear violations while escalating gray-area posts to mods.
How it runs
The automated pipeline, trigger to output.
- TriggerNew message in monitored channelDiscord
- ActionScore message for toxicity / scam / spamOpenAI
- LogicBranch: clear violation vs gray area
- ActionAuto-delete violation and notify authorDiscord
- OutputEscalate gray-area post to mods with reasoningDiscord
What it does
Provides proactive, always-on moderation instead of waiting for someone to report a bad message. Every new post in your watched channels is scored by an OpenAI moderation pass. High-confidence violations (scam links, slurs, raid spam) are deleted instantly; ambiguous posts are left up but flagged to mods with the model's reasoning so a human makes the call.
When to use it
Use it on high-traffic or invite-link channels where harmful content needs to come down in seconds, or during raids and scam waves when reports can't keep pace. Pair it with the report-triage template to cover both proactive and reactive paths.
How it works
- 1A new-message event in monitored Discord channels triggers the flow.
- 2An OpenAI moderation step scores the message for toxicity, scams, and spam.
- 3A branch splits clear violations from gray-area content using your confidence thresholds.
- 4Clear violations are deleted in Discord and the author is notified.
- 5Gray-area messages are escalated to the mod channel with the score and reasoning for a human decision.
Set it up
What you configure once, before turning it on.
- 1Connect DiscordCommunity channels + voice + bots.
- 2Connect OpenAIModels, embeddings, files.
- 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.
More AI Agents workflows
Custom Metrics Cardinality Spike Pager
A webhook from a Datadog monitor fires when custom-metric cardinality jumps; an agent pinpoints the offending metric and tag, estimates the added cost.
Sentry-to-Confluence Runbook Updater
When a Sentry issue is resolved, the agent finds the matching Confluence runbook page and proposes an inline update with the verified fix.
Stale Doc-PR Chaser for Runbook Gaps
On a daily schedule the agent finds runbook doc PRs that were opened from resolved incidents but never reviewed, summarizes what each one fixes.
Resolved Incident to Public Troubleshooting Doc
For customer-facing errors resolved in Sentry, the agent drafts a sanitized troubleshooting entry and opens a PR to your ReadMe documentation.
On-Call Runbook Gap Closer: Resolved Sentry Issues to Doc PRs
An agent reads each newly resolved Sentry issue, compares the actual fix against your existing runbook, and opens a GitHub PR adding the missing remediation steps.
Weekly On-Call Doc-Gap Digest
Each week the agent reviews every Sentry issue resolved in the last 7 days, ranks the ones whose runbook coverage is missing or thin.
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.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
