·9 min read
Agents need the same verbs people use
A typed action is a verb, an actor, a target, typed arguments and a receipt. When people and agents share one path, the log can show what an agent did.
- ·16 min read
Your AI agent is a text predictor in a loop. That is the floor, not the ceiling
How a 2026 AI agent is built, what has grown out of that design, why it forgets, guesses and agrees too easily, and eight habits for working with those limits.
- ·7 min read
What stays when the agent harness gets thinner?
As models improve, what is still worth building around them? Three October 2026 videos, checked against the evidence: the harness moves cost more than accuracy.
- ·7 min read
Grade an AI agent by its decisions, not its wording
An October 2026 paper trains small agents to match a big model's decisions instead of its words. Decision models point the same way. What it means if you run agents.
- ·6 min read
A running terminal is not a receipt
We wired inbound messages to coding agents by typing into a terminal. It worked immediately, which was the problem. Here's the transport architecture that replaced it, and the three receipts that never imply each other.