Consulta datos de producción en lenguaje natural

Haga una pregunta sobre sus datos de producción. Zero escribe el SQL, lo ejecuta en modo solo lectura y devuelve la respuesta en Slack.

Zero conecta:

Lo que Zero entrega

Consulta datos de producción en lenguaje natural — sample output from Zero — screenshot 1

Cuál es el problema

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.

Cómo lo resuelve Zero

Paso 1: Conecta tus herramientas

vm0

Obligatorio

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.

Conectar

Slack

Opcional

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

Conectar

Paso 2: Pregúntale a Zero

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

pruébalo

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.

Paso 3: Llévalo más lejos

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'.

pruébalo

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.

pruébalo

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.

pruébalo

Consejos para mejores resultados

●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.