SUMMARIZATION

Teams recording to Linear engineering issues

When a Microsoft Teams meeting recording is ready, summarizes the discussion and opens a Linear issue for each engineering action item, labeled and assigned by the AI.

CategorySummarization
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerTeams meeting recording readyMicrosoft Teams
  • ActionFetch meeting transcriptMicrosoft Teams
  • ActionSummarize and extract engineering action itemsOpenAI
  • LogicFilter out non-actionable items
  • ActionPost recap to Teams channelMicrosoft Teams
  • OutputCreate Linear issue per action itemLinearLinear

What it does

Converts engineering and planning meetings recorded in Microsoft Teams into actionable Linear issues. It writes a recap and creates a tracked issue for every technical follow-up, with a suggested label, priority, and assignee.

When to use it

Use it for sprint planning, architecture reviews, or incident retros held over Teams, where verbal decisions need to become tracked work without someone transcribing tickets by hand.

How it works

  1. 1A Microsoft Teams trigger fires when a meeting recording and transcript are available.
  2. 2The transcript is fetched.
  3. 3OpenAI summarizes the discussion and extracts engineering action items, each with a proposed title, description, label, priority, and owner.
  4. 4A filter drops non-actionable chatter so only concrete tasks proceed.
  5. 5The recap is posted back to the Teams channel for visibility.
  6. 6Each surviving action item is created as a Linear issue in the team's project, assigned and labeled.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Microsoft TeamsChannels, chats, files.
  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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