What Is an Agent, Actually?
A practical definition of agents for operators: job, context, tools, rules, stop signs, proof, and repeatability.
A practical definition of agents for operators: job, context, tools, rules, stop signs, proof, and repeatability.
Your software either has a door for agents, or it is becoming a locked building on an automated street.
The real test is a calendar question: if you stopped working today, how long before you had to re-enter the rat race? AI can make people faster, but the better question is what the speed buys back.
Unreasonable Hospitality used to be hard to scale. AI changes part of that math.
The newest model is not always the right model. The task decides what intelligence matters.
You do not believe everything you see on the internet. So why believe everything that comes out of AI?
The org chart is starting to move. AI is compressing old handoffs, and companies are already rebuilding roles around it.
The ideas we have been circling in The New World all connect tonight: agents, workflows, context, and what it actually means to build with AI.
Hallucinations are often system-design failures. The fix starts by giving AI permission to stop, then building that rule into the architecture.
The internet era changed the shape of work once. AI is doing it again. We are in the compression point between the old way of working and the agentic era.
Why you’re now the slowest piece in your workflow.
The model is the engine. The workflow is the machine.