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Own systems · 2026

AI agent team for operational work

Three agents with roles like in a company: correspondence and deadlines, infrastructure operations, modernization.

Runs daily, also at night
A walk through the agent panel: tasks from the last 24 hours, details of one task, the cards of Tony, Sally and Mark; screen recording, sample data

A recording and screenshots of the panel running on sample data: a made-up task log and made-up agent results, no connection to the database or network; missing Polish interface labels translated, the schedule list hidden in the recording.

Task

Routine tasks (alerts, mail, deadlines, updates) took time every day, and a single general assistant mixed up responsibilities.

Solution

Each agent has its own role, skills and decision memory in PostgreSQL. Change proposals are reviewed by an agent council, and decisions that need a person land in the panel as cards with options. Every action is written to a log.

Result

  • Alerts resolved overnight, only a report in the morning
  • Cheap tasks on a light model, hard ones on a strong model
  • Full log of agent actions

My role

Architecture, agent code, runbooks and tests.

Stack

PythonFastAPIPostgreSQLpgvectorLLM API
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