SUMMARIZATION

Standup Thread to Per-Person Blocker Map in ClickUp

Reads a daily async standup thread in Discord, summarizes each person's update into done/doing/blocked.

CategorySummarization
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule after standup cutoff
  • ActionFetch standup thread messages from DiscordDiscordDiscord
  • ActionSummarize per person into done/doing/blocked with OpenAIOpenAI
  • LogicBranch only if blockers were detected
  • ActionCreate a ClickUp task per blocker with owner assignedClickUpClickUp
  • OutputPost per-person blocker map back to DiscordDiscordDiscord

What it does

It turns a noisy async standup thread into a clean, per-person blocker map. Each teammate's free-form update is condensed into what they finished, what they're working on, and what is blocking them. Every blocker becomes a tracked ClickUp task assigned to the right owner, and a summary is posted back to the channel so the whole team sees the same picture.

When to use it

Use it for remote or distributed teams that run standup as a Discord thread instead of a live call. It is ideal when blockers get buried in long threads and nobody is sure who owns the unblock.

How it works

  1. 1A scheduled trigger fires after the standup cutoff time.
  2. 2The flow pulls all messages from the designated Discord standup thread for that day.
  3. 3OpenAI groups messages by author and extracts a structured done/doing/blocked summary per person, flagging each blocker's likely owner.
  4. 4A logic step checks whether any blockers were detected.
  5. 5For each blocker, a ClickUp task is created and assigned to the named owner.
  6. 6The per-person blocker map is posted back to the Discord channel with owner callouts.

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 ClickUpDocs + tasks + chats in one workspace.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.