Query Production Data in Plain English

Ask Zero a question about your production data. It writes the SQL, runs it read-only against your live database, and returns the answer in Slack.

Zero connects:

What Zero delivers

Query Production Data in Plain English — sample output from Zero — screenshot 1

What the problem is

A stakeholder asks how many users completed onboarding in the last 30 days. It's a simple question, but answering it means opening a DB client, finding the right table, writing a query, making sure you're on read-only credentials, running it, and formatting the result. Zero handles the whole chain - just ask the question in Slack.

How Zero fixes it

Step 1: Connect your tools

vm0

Required

vm0's production database skill is required. It provides a read-only connection to your Postgres instance via securely managed credentials - no manual setup needed.

Connect

Slack

Optional

Slack is where you ask the question and receive the result.

Connect

Step 2: Ask Zero

@Zero how many users signed up in the last 30 days? Query the production database.

try it

Zero interprets your question

Zero maps your plain-language question to the relevant tables and columns in your production schema.

Zero runs a read-only query

Zero executes only SELECT statements against production. No writes, no mutations. Credentials are retrieved securely via Doppler - they never appear in the conversation.

Results returned in Slack

Zero posts the query result in the thread, formatted as a readable summary. For large result sets, it returns the key numbers and offers to export the full table.

Step 3: Take it further

Export to a spreadsheet

Get the full result set in a usable format

@Zero re-run that query and export the results to a Google Sheet named 'DAU by Plan - April 2026'.

try it

Schedule a recurring count

Track a metric automatically

@Zero every Monday morning, query production for last week's new user count and post to #metrics.

try it

File an issue from a finding

Escalate an anomaly you discovered

@Zero create a GitHub issue for the users with credit balance above 1000 - title 'Credit balance anomaly', assign to Ethan.

try it

Tips for better results

●Always specify 'production database' or 'prod DB' in your prompt so Zero knows which connection to use if you have multiple environments.

●Zero runs only SELECT queries. If you need to modify data, Zero will flag it and ask you to handle it through the appropriate workflow instead.

●For sensitive queries, prefix with 'do not log the results' - Zero will deliver the answer in an ephemeral message visible only to you.