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Personal system

TARS

A team of AI agents that works with me.

The problem

Ideas and projects scattered everywhere. With an AI assistant I spent half my time repeating context.

My role

I designed the system: agents, rules, memory. I write the code with the agents; architecture and reviews are mine.

What I built

  • Router. Every request goes to the right agent.
  • Missions. One yes to the plan, then agents work in parallel.
  • Blueprint before code. No code without an approved plan.
  • Brake and Recap. Born from 20 analysed sessions: it stops only before irreversible actions.

The hard choices

  • Zero cost: no pay-per-use APIs.
  • Delegate only when it pays off: every agent costs tokens.
  • Honesty by rule: verified, assumption or still to check.

Stack

  • Claude Code
  • Node
  • Python
  • Git
  • PWA

Where it stands

I use it every day. This site was built this way too.

What I learned

A good workflow beats any new tool.

© 2026 Mario Trofeo