DATA OPS
Weekly Contract Drift Digest
Each week, aggregates all schema changes observed across the warehouse, writes a human-readable changelog to a Notion page, and posts a summary digest to Slack for the data team.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule triggers the digest
- ActionRead accumulated schema observations from BigQueryBigQuery
- LogicGroup and classify changes per table
- ActionAppend changelog entry to Notion governance pageNotion
- OutputPost summary digest to SlackSlack
What it does
Rather than alerting on every individual change, this workflow batches a week of schema observations into one digest. It groups changes by table, separates additive evolution from breaking changes, appends the full changelog to a versioned Notion page, and drops a short summary in Slack so the team starts the week knowing what moved.
When to use it
Use it for governance and visibility rather than incident response. It gives data stewards a reliable weekly record of how table contracts are evolving, and a searchable history in Notion for audits and onboarding.
How it works
- 1A weekly schedule triggers the digest.
- 2Read the week's accumulated schema observations from BigQuery audit metadata.
- 3Group and classify changes per table into additive vs breaking.
- 4Append a formatted changelog entry to the Notion governance page.
- 5Post a concise summary with counts and links to Slack.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect NotionPages, databases, comments.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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