SUMMARIZATION

Discord sentiment spike alert to Slack

Checks Discord feedback channels every few hours, summarizes the emerging mood, and pings Slack only when negative sentiment about a single topic spikes past a threshold.

CategorySummarization
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEvery 3 hours schedule
  • ActionFetch new Discord messages since last runDiscordDiscord
  • ActionScore sentiment and cluster negatives with OpenAIOpenAI
  • LogicGate on negative-topic threshold
  • OutputSend focused Slack alertSlack

What it does

It keeps a finger on the community's pulse without flooding you. On a regular interval it samples recent Discord feedback messages, has an LLM gauge sentiment and cluster the complaints, and stays silent unless one topic crosses a negative-volume threshold. When it does, it sends a focused Slack alert naming the topic, the affected members, and representative quotes.

When to use it

Use this to catch a brewing outage backlash, a confusing release, or a pricing complaint before it snowballs — without a human babysitting Discord all day.

How it works

  1. 1A schedule fires every three hours.
  2. 2The workflow fetches messages posted since the last run from the feedback channels.
  3. 3An OpenAI call scores sentiment per message and groups negatives into topics with counts.
  4. 4A logic gate checks whether any single topic exceeds the configured negative-message threshold within the window.
  5. 5If the threshold is crossed, it posts a concise Slack alert with the topic, volume, and three representative quotes; otherwise the run ends quietly.

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 SlackChannels, DMs, threads, mentions.
  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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