ENGINEERING

Weekly architecture-decision digest from recordings

On a weekly schedule, gathers all of the week's recorded architecture syncs, summarizes the decisions made across them.

CategoryEngineering
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionList past week's Zoom design-sync recordingsZoomZoom
  • ActionSummarize each recording's decisionOpenAI
  • LogicAggregate into one table, drop empty calls
  • ActionPublish digest page to ConfluenceConfluenceConfluence
  • OutputPost digest link to engineering Slack channelSlack

What it does

Produces a once-a-week digest of every architectural decision the team made on Zoom. Instead of one page per call, it batches the week's recordings into a single Confluence rollup - decision, owner, and meeting link per row - and pings the engineering channel in Slack so leadership reads it without hunting through recordings.

When to use it

Use it when individual ADR pages are too granular for stakeholders who just want a weekly pulse of what changed and why. Good for engineering managers and staff engineers who run a Friday review ritual.

How it works

  1. 1A weekly schedule fires (e.g. Friday afternoon).
  2. 2List all Zoom design-sync recordings from the past seven days via the Zoom API.
  3. 3For each recording, fetch the transcript and have an LLM summarize the decision in one paragraph.
  4. 4A logic step aggregates the summaries into a single ordered table, dropping calls with no decisions.
  5. 5Publish the digest page to Confluence and post a link to the engineering Slack channel.

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
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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