CHATBOTS

Discord Threshold-Breach Escalation to Linear

When a user's strike count crosses a hard threshold, this opens a Linear issue with the full offense history and pings the moderation lead in Discord so a human decision is…

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew offense recorded for a userDiscordDiscord
  • ActionFetch offender's full history from PostgresPostgreSQLPostgres
  • LogicProceed only if escalation threshold just crossed
  • ActionDraft issue body and recommendation with OpenAIOpenAI
  • ActionOpen severity-labeled Linear issueLinearLinear
  • OutputPing moderation lead in Discord with linkDiscordDiscord

What it does

The moment a logged offense pushes a user past your escalation threshold, this creates a tracked Linear issue containing the user's complete violation history and a recommended action, then notifies the moderation lead in Discord. The decision now lives in a ticketing system with an owner and a status, not buried in chat scrollback.

When to use it

Use it when serious cases need accountable human follow-through rather than an instant automated ban. Good for communities where mod actions must be auditable and a second reviewer signs off.

How it works

  1. 1A Discord event fires whenever a new offense is recorded (or via webhook from the logger).
  2. 2A Postgres query fetches the offender's full strike history and current total.
  3. 3A logic gate proceeds only if the total has just crossed the escalation threshold.
  4. 4An OpenAI call drafts an issue body: timeline, dominant violation types, and a recommended action.
  5. 5A Linear action opens an issue in the moderation team, labeled by severity.
  6. 6The bot DMs or pings the moderation lead in Discord with the issue link.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect LinearIssues, projects, cycles, triage.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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