SOCIAL MEDIA

Community-voted Discord escalation to Asana

When a Discord message crosses a reaction threshold, it treats that as the community escalating an issue, summarizes the thread, and opens an Asana task for the owning team.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerReaction added to Discord messageDiscordDiscord
  • LogicCheck reaction count vs threshold & dedupe
  • ActionFetch message + thread contextDiscordDiscord
  • ActionSummarize issue & route team (OpenAI)OpenAI
  • ActionCreate Asana task for owning teamAsanaAsana
  • OutputMark message escalated in DiscordDiscordDiscord

What it does

Uses Discord reactions as a lightweight voting mechanism. When a message accumulates enough of a designated reaction emoji, the workflow reads the surrounding thread, summarizes the issue with an LLM, and creates an Asana task assigned to the right team. The crowd decides what gets escalated; the workflow does the paperwork.

When to use it

When you want your community to self-prioritize. Pin a convention like "react with a flag emoji if this needs the team" and let volume drive escalation, instead of staff reading everything.

How it works

  1. 1A reaction added to a Discord message triggers the flow.
  2. 2A logic step checks whether the target emoji's count has hit the configured threshold (and hasn't already been escalated).
  3. 3The flow fetches the message plus recent thread context from Discord.
  4. 4OpenAI writes a concise issue summary and suggests the responsible team.
  5. 5An Asana task is created in that team's project with the summary and a Discord deep link.
  6. 6The flow reacts on the original message to mark it escalated and prevent duplicates.

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 AsanaTasks, projects, milestones — everywhere.
  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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