AI AGENTS

Weekly call-theme rollup into Linear feature requests

On a weekly schedule, an agent clusters the past week of call transcripts into recurring themes and opens or updates Linear issues for the top recurring requests.

CategoryAI Agents
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule (Monday AM)
  • ActionCollect past week's transcriptsZoomZoom
  • ActionCluster mentions into themes by account countOpenAI
  • LogicKeep only themes above frequency threshold
  • ActionSearch Linear for matching open issueLinearLinear
  • OutputCreate or update Linear feature requestLinearLinear

What it does

Once a week it gathers every call transcript from the prior seven days, clusters them into recurring themes, and ranks themes by how many distinct accounts raised them. For each top theme it opens a Linear feature-request issue — or appends new evidence to an existing one — so product sees demand by volume, not by whoever shouted loudest.

When to use it

Use it when individual call notes are too noisy and you want an aggregate view: what are customers actually asking for this week, weighted by how many of them asked.

How it works

  1. 1A weekly schedule kicks off the run every Monday morning.
  2. 2The agent collects the past week's Zoom transcripts and their account tags.
  3. 3It clusters mentions into themes and counts distinct accounts per theme.
  4. 4A logic step keeps only themes crossing a frequency threshold.
  5. 5For each surviving theme it searches Linear for a matching open issue.
  6. 6It updates the matched issue with fresh quotes and account counts, or creates a new feature-request issue when none exists.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZoomMeetings, recordings, transcripts.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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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