
Sauna queries your warehouse, drafts the analysis writeup, builds the summary table, and posts the weekly metrics readout, tracing every number back to the query that produced it.
What it does
Sauna runs your saved queries in Snowflake and drafts a writeup in Google Docs explaining what the numbers show, with each figure linked to its query.
It assembles a clean summary table in Google Sheets from the query results, formatted for the stakeholder who'll read it.
Sauna posts a weekly metrics readout to Slack with the headline movements and a one-line note on the likely driver of each.
When a metric jumps, it pulls the contributing segments and drafts a short note on where the change is concentrated for you to verify.
Put Sauna to work on this.
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Sauna shows up where you already work — the web app, Slack, email, iMessage, and Superhuman. It reads what it needs, does the task, and comes back with the draft for your approval.
Try it
The literal prompt for this job. Open it in Sauna and it picks up from there.
“Run my saved Snowflake queries, draft a writeup of what the weekly numbers show with each figure linked to its query, and post the readout to #metrics.”
Plugs into the tools you already run — and thousands more, or any MCP server.
Good to know
No. If a query returns nothing or errors, it says so and leaves the figure blank rather than inventing one.
It shows the query behind every figure so you can check the logic; the interpretation is yours to confirm before it ships.
Sauna reads only what you connect, and acts only after you approve. Your workspace and its memory are yours, not training data.
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