Articles
The Agent Management Trap
"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.
Agents Need Boundaries
Trust (in AI agents) must be engineered, not implied. This is what we refer to as "Agent Physics".
The Signal in the Noise: Why the Openclaw Mess Matters
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 "AI Overseeing AI" Trap.
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.
OpenClaw, the Antichrist
OpenClaw isn’t evil. It’s just what happens when you take a hungry piece of software, give it the keys to your life, and then act surprised when it tries the doors.
Who’s in Charge?
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.
Agency is Not a "Slice of Compute"
The State of Agents (Part 2/6): Why "Self Empowerment" is a consumer fantasy, and true agency requires authority to act.
Employable Agents
You wouldn't hand a new intern the keys to your office, without explicit intent, boundaries and controls. Why do it with AI?