Files × Database

Automate Google Drive + PostgreSQL

Where the documents live — and pile up. The production database your reports should come from. Put an agent between them and the hand-off stops being manual: it reads, decides, acts, and shows its work.

Automations teams run

Unlike field-mapping automation, the step in the middle is an agent — it can summarise, classify, judge and draft, not just copy values across.

When a file lands in a folder in Google Drive…

…an agent can run parameterised queries in PostgreSQL — after reading the context and deciding it should.

When a doc is updated in Google Drive…

…an agent can write validated rows in PostgreSQL — after reading the context and deciding it should.

When a file is shared in Google Drive…

…an agent can produce report extracts in PostgreSQL — after reading the context and deciding it should.

When a scheduled query runs in PostgreSQL…

…an agent can read and summarise documents in Google Drive — with the reasoning recorded in the run’s receipt.

When a threshold is crossed in PostgreSQL…

…an agent can file outputs into folders in Google Drive — with the reasoning recorded in the run’s receipt.

Build it in AGNT

  1. Download AGNT Community Core — free and local-first.
  2. Connect Google Drive (one OAuth sign-in) and PostgreSQL (local instance) in the vault.
  3. Start from a marketplace workflow or describe the job in plain language; place approval gates on anything consequential.
  4. Run it — every execution produces a receipt showing what was read, decided and written in both tools.

Give AI a job. Get the proof.