The State of Agents (Part 2/6): Why "Self Empowerment" is a consumer fantasy, and true agency requires authority to act.
You wouldn't hand a new intern the keys to your office, without explicit intent, boundaries and controls. Why do it with AI?
Precise language prevents sloppy engineering. We project agency onto fluent bots, creating a security risk. Real intelligence requires stakes - a loop with reality LLMs lack. Solve this with architecture: explicit intent and proof.
Traditional onboarding fails at the last mile. It treats data as a passive record rather than a signed state change. Learn how Supamoto uses IXO components to enforce integrity on the edge.
"Rework Tax" explains why AI makes us feel faster while work takes longer. Why optimising nodes breaks the network - and how Shared State restores the physics of production.
The State of Agents (Part 1/6): Why we need to stop writing prompts and start using Agent Physics to engineer agents with skills that can perform work based on the state of real-world systems.
A personal reflection, passing the ten-year mark of being deeply inside the problem, building the solution.
Where documents become reactive and governed through authorisation and audit trails
Agents are getting cheaper by the week. Coordination is not. Especially when this needs to happen across organisational domains and institutional boundaries, or within functional teams using AI agents.
