ENGINEERING

Recorded design sync to Confluence ADR draft

When a Zoom design-sync recording finishes, transcribe it, extract the architectural decision plus its context, options, and consequences, and publish a structured ADR draft page…

CategoryEngineering
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom recording completed for design-sync meetingZoomZoom
  • ActionFetch meeting transcript from ZoomZoomZoom
  • ActionExtract decision, context, options, consequencesOpenAI
  • LogicSkip if no decision was actually reached
  • OutputPublish Proposed ADR draft to Confluence spaceConfluenceConfluence

What it does

Turns a recorded architecture-review call into a ready-to-edit Architecture Decision Record. It pulls the meeting transcript from Zoom, identifies the single decision the team converged on, and writes a Confluence page following the standard ADR template (Context, Decision, Options Considered, Consequences) so nobody has to reconstruct the discussion from memory.

When to use it

Use it when your team makes architectural calls in recorded Zoom syncs but consistently fails to document them afterward. Best for squads that already keep ADRs in a Confluence space and want the first draft generated within minutes of the call ending.

How it works

  1. 1A Zoom recording-completed event fires for a tagged design-sync meeting.
  2. 2Fetch the recording's transcript via the Zoom API.
  3. 3An LLM extracts the decision, surrounding context, alternatives weighed, and trade-offs accepted.
  4. 4A logic check confirms a real decision was reached; ambient discussions with no resolution are skipped.
  5. 5Create a Confluence page in the ADR space, status "Proposed," pre-filled from the extracted fields and linked to the recording.

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 ConfluenceSpaces, pages, blueprints.
  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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