Impacts

How to Scale Yourself Without Losing Yourself

"HR for bots" is a management trap. Adding agents increases entropy, not just throughput. To build systems that actually work, we need to move from "chat" to "state" and treat AI output as a claim to be settled, not an answer to be trusted. Stop scaling chaos and start building protocols.

Trust (in AI agents) must be engineered, not implied. This is what we refer to as "Agent Physics".

We spent the last few days staring at the car crash. And rightly so. Openclaw was a security nightmare, a credential sieve, and a live demo of what happens when you let code execute other code based on "vibes" and bad engineering practices.

The State of Agents (Part 3/6) shifts the focus from what agents do (Skills/Agency) to how we govern them. We believe the current trend of "AI Supervisors" doesn't make sense, and explain why we think "Physics for Agents" is the superior safety model.

The risk is not rogue agents. It is human drift in the presence of fluent authority. Build flows that force choice, preserve values, and keep the human in control.