SOCIAL MEDIA

Escalate angry Discord threads to the right Linear owner

Watches a Discord community channel, scores each new message for anger and urgency with an LLM.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew message in Discord community channelDiscordDiscord
  • ActionScore sentiment, anger, and topic with OpenAIOpenAI
  • LogicDrop messages below anger threshold
  • LogicMap topic to owning Linear team and assignee
  • ActionCreate routed Linear issue with quote and permalinkLinearLinear
  • OutputReply in thread confirming escalationDiscordDiscord

What it does

Monitors a Discord community channel in real time and classifies every new message for sentiment, anger level, and topic. When a message crosses the anger threshold, it opens a Linear issue routed to the team that owns that topic (billing, product, support) with the original quote, author, and a permalink back to the thread.

When to use it

Run this when your community lives in Discord and angry posts get buried before the right team sees them. It turns a noisy channel into triaged, owned work without a human watching the feed.

How it works

  1. 1A Discord message event fires for each new post in the watched channel.
  2. 2OpenAI scores the message for sentiment, anger (0-10), and topic category.
  3. 3A logic step drops anything below the anger threshold so calm chatter never creates tickets.
  4. 4A second logic step maps the topic to the owning Linear team and assignee.
  5. 5Linear creates an issue with the quote, author handle, anger score, and the Discord permalink.
  6. 6The bot posts a short acknowledgment reply in the thread so the member knows it was escalated.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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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