PROJECT MANAGEMENT

Auto-reply on Loom when a standup blocker is too vague to action

When a Loom standup mentions a blocker without enough detail to act on, post a Loom comment asking the recorder the specific follow-up questions needed to file it.

CategoryProject Management
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Loom standup videoLoomLoom
  • ActionFetch transcript and score blockersOpenAI
  • LogicAny blocker too vague to file?
  • ActionComment clarifying questions on LoomLoomLoom
  • OutputNotify recorder in SlackSlack

What it does

It closes the gap between "I'm blocked" and an actionable task. The workflow reads each new standup, and when a blocker is named but lacks the who/what/which-system detail needed to file it, it posts a targeted clarification comment directly on the Loom video instead of guessing or creating a useless ticket.

When to use it

Use it when your standup-to-board pipeline keeps producing vague tasks that engineers can't act on. It front-loads the missing context by asking the recorder while the work is fresh in their mind, so downstream task creation stays clean.

How it works

  1. 1A new Loom standup video triggers the workflow.
  2. 2The transcript is fetched and an OpenAI call scores each blocker for actionability and lists the specific missing details.
  3. 3A logic step branches on whether any blocker is too vague to file.
  4. 4For vague blockers, a clarification comment with pointed questions is posted on the Loom video.
  5. 5A note is sent to the recorder in Slack flagging that follow-up detail is needed before the blocker can be tracked.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LoomVideo transcripts, libraries.
  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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