Automate PostgreSQL + Slack
The production database your reports should come from. Team chat where operations actually surface. 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 scheduled query runs in PostgreSQL…
…an agent can post a rich channel message in Slack — after reading the context and deciding it should.
When a threshold is crossed in PostgreSQL…
…an agent can DM a teammate in Slack — after reading the context and deciding it should.
When a message hits a channel in Slack…
…an agent can run parameterised queries in PostgreSQL — with the reasoning recorded in the run’s receipt.
When a keyword or mention fires in Slack…
…an agent can write validated rows in PostgreSQL — with the reasoning recorded in the run’s receipt.
When a reaction is added in Slack…
…an agent can produce report extracts in PostgreSQL — with the reasoning recorded in the run’s receipt.
Build it in AGNT
- Download AGNT Community Core — free and local-first.
- Connect PostgreSQL (local instance) and Slack (one OAuth sign-in) in the vault.
- Start from a marketplace workflow or describe the job in plain language; place approval gates on anything consequential.
- Run it — every execution produces a receipt showing what was read, decided and written in both tools.