DATA OPS
Dry-Run Diff and Approval Before Multi-Destination Sync
Computes the exact insert, update, and delete diff a segment sync would apply, posts it for human approval in Slack.
How it runs
The automated pipeline, trigger to output.
- TriggerManual or scheduled sync proposal start
- ActionCompute insert/update/delete diff from SnowflakeSnowflake
- OutputPost diff preview to Slack with approve/reject controlSlack
- LogicWait on decision; stop if rejected
- ActionOn approval push changes to ad destinationsSocial publishing
- ActionApply matching changes to HubSpotHubSpot
What it does
This workflow makes reverse-ETL syncs reviewable. Instead of writing blindly, it computes a dry-run diff from Snowflake — how many records would be added, changed, or removed across each destination — and posts that preview to Slack with an approve control. Nothing is written until a human approves, giving you a last gate before contacts hit ad platforms and your CRM.
When to use it
Use it for sensitive or infrequent syncs where the blast radius justifies a human in the loop: list deletions, large property overwrites, or a new pipeline you do not yet trust to run unattended.
How it works
- 1A manual run or schedule kicks off the sync proposal.
- 2Compute the insert/update/delete diff against current destination state using Snowflake.
- 3Post the diff summary to Slack with an approve or reject control.
- 4A logic gate waits on the decision and stops if rejected.
- 5On approval, push changes to the ad destinations.
- 6Apply the matching changes to HubSpot and confirm completion in Slack.
Set it up
What you configure once, before turning it on.
- 1Connect SnowflakeWarehouses, queries, shares.
- 2Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
- 3Connect HubSpotCRM, deals, marketing, support.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Data Ops workflows
BigQuery Per-Team Budget Breach Alert to PagerDuty
Tracks month-to-date BigQuery scheduled-query spend per team and, when a team crosses its monthly budget, pages the team's on-call in PagerDuty and snapshots the spend breakdown…
dbt orphan model detector with Linear cleanup tickets
Scans your dbt manifest for models that no other model, exposure, or BI tool consumes.
Weekly BigQuery Cost Trend Sheet and Exec Digest
Compiles week-over-week BigQuery scheduled-query cost by owner and dataset into a Google Sheet with trend columns.
Backfill Missing Owner Labels on BigQuery Scheduled Queries
Finds scheduled queries with no owner label, infers the likely owner from creator metadata and target-table lineage, proposes a label.
Daily BigQuery Scheduled-Query Cost Attribution to Owners
Each morning, totals the prior day's on-demand bytes-billed per scheduled query, maps each query to its owner from a label, and posts a per-owner cost leaderboard to Slack.
dbt source freshness watcher with severity-routed alerts
Checks Snowflake loaded-at timestamps against each dbt source's freshness SLA, then routes warnings to Slack and hard breaches to a PagerDuty incident so stale data never…
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.
Finance
Research & Trading Desk
Governance-first research, execution, and risk — every trade on the audit trail.
Creator
Social Manager
Draft, approve, schedule, and measure social posts across 8 channels.
Creator
Social Media Brand House
Run a multi-channel brand presence end to end — plan, draft, approve, publish, measure.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.