Publicly and honestly. In the lab we test how to keep AI agents at high quality over the long run — and whatever proves itself flows into our product.
Each experiment asks the same question from a different angle: how do you keep an AI workforce at consistent quality across hundreds of tasks?
Seven AI agents staff a single specialist role as three generations of one family — with a family council, independent audits and real consequences.
6 tasks completed · independent rating avg ~8/10 · first rules already adopted into the product.
To the experiment →Several agent instances compete against each other for a single role. They earn credits based on their ratings — whoever consistently underperforms is retired and replaced.
3 agents per position compete for credits — rotation, elimination, restart.
To the experiment →Behind every VENTURION deployment sits a multi-layered agent organization rather than a single model: specialized roles that support and check one another. Every result passes through independent reviews, and at the decisive points a human stays in the loop — human-in-the-loop. In these experiments we test the next generation of that mechanism before it reaches customers.
Results are documented here on an ongoing basis — what was introduced, and what we discarded again.
In a strategy call we solve a real task from your company live — with the same quality standard we test here in the lab.
Book a strategy call →30 minutes · free · no pitch