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Scratch for PostgreSQL

AI rewrites text and JSON columns across your PostgreSQL tables as local files. Primary keys, generated columns, and constraints stay locked. You approve every change before it ships. Try it now free → or book a demo with Curtis

What Scratch edits in PostgreSQL

How it works

Scratch pulls a table from your Postgres database. Each row becomes a local file. Your AI edits the columns you allow. Primary keys, generated and identity columns, and any column the database reports as non-updatable stay locked, so serial IDs and computed values are never overwritten. Column types, length limits, and foreign keys travel with the schema, and the database rejects any write that would violate a constraint. You approve in Scratch. Scratch updates the rows through the standard Postgres driver.

Connect with a single connection string. Scratch discovers tables across every non-system schema, and a table needs a primary key to sync. For incremental pulls, point Scratch at a timestamp column like updated_at. Best for content tables — posts, product copy, knowledge base — that live in Postgres without a CMS in front of them.

Use AI to edit PostgreSQL

Scratch connects your AI agent to PostgreSQL. Pull a folder, let the agent edit the files, review every diff, and publish only what you approve.

See it run on your own content.

Curtis runs these calls himself. Thirty minutes, no pitch, no slides. He connects your platforms live and shows you your content as an editable, reviewable diff. Bring anything sticky: a refresh, a migration, or a rebrand.

Book a 30-minute demo call → or try it free

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