Wanted to share this project I have been working on for a while. In the past few years and my previous startup, I really struggled to get any form of AI adoption in regulated industries. So I built MakerChecker: A way to add structural guarantees into how Agents and AI systems would operate in high risk environments.
It wraps around agents you already have and provides structured controls:
- Each agent acts only through a role and can only run skills its approved for.
- It cannot approve its own work.
- Support for human approval gates.
- Every action is committed to a hash-chained signed log.
I also build alot of runnable examples based on real life case studies (e.g. Knight Capital, Air Canada refund chatbot) and how it can be used to prevent them.
The goal is to help get agents that do impactful work (move money, healthcare triaging, prod releases, etc) out of pilot and into production.
Happy to answer any questions and always looking for constructive feedback :)
Hi All!
Wanted to share this project I have been working on for a while. In the past few years and my previous startup, I really struggled to get any form of AI adoption in regulated industries. So I built MakerChecker: A way to add structural guarantees into how Agents and AI systems would operate in high risk environments.
It wraps around agents you already have and provides structured controls: - Each agent acts only through a role and can only run skills its approved for. - It cannot approve its own work. - Support for human approval gates. - Every action is committed to a hash-chained signed log.
I also build alot of runnable examples based on real life case studies (e.g. Knight Capital, Air Canada refund chatbot) and how it can be used to prevent them.
The goal is to help get agents that do impactful work (move money, healthcare triaging, prod releases, etc) out of pilot and into production.
Happy to answer any questions and always looking for constructive feedback :)