CHATBOTS

Daily sweep of unanswered Discord questions with Confluence-grounded digest

Scans the support channel each day for questions that never got a confident answer, drafts grounded replies from your Confluence space.

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionFetch recent messages, filter unanswered questionsDiscordDiscord
  • ActionRetrieve Confluence pages and draft repliesConfluenceConfluence
  • LogicGroup questions and drafts into one digest
  • OutputPost digest to staff Discord channelDiscordDiscord

What it does

On a daily schedule, this workflow looks back over your Discord support channel and finds questions that went unanswered or only got a low-confidence bot reply. For each one it drafts an answer grounded in your Confluence documentation, then assembles a single digest message summarizing the open questions and proposed answers, and posts it to a staff channel for review.

When to use it

Use it as a safety net behind any live support bot. Real-time answering always misses some questions during busy periods or off-hours. This batch sweep ensures nothing stays silently unresolved, and the digest format lets one person clear a day's backlog in a single pass instead of hunting through scrollback.

How it works

  1. 1A daily schedule triggers the sweep.
  2. 2The workflow fetches recent support-channel messages and filters to questions lacking a confident answer.
  3. 3For each open question it retrieves matching Confluence pages and drafts a grounded reply.
  4. 4A logic step groups the questions and drafts into one structured digest.
  5. 5The digest is posted to the staff review channel in Discord for approval or sending.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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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