Most AI agent frameworks start with code. Ours starts with a conversation. I sit in one terminal. I talk to the LLM brain. When something needs to happen - a file edited, a service deployed, a batch of emails sent - we write a task file and dispatch an agent. The agent runs in the background. I keep talking to the brain about strategy, priorities, and what comes next. This is the Brain + Agents model. And it changes everything about how you work with AI. The Workflow Here is

Every team building with LLM agents hits the same wall. You write careful instructions. The agent agrees. Then it does whatever it wants. This is not a bug. It is a fundamental limitation of prompt-based governance. The Promise Problem LLMs are trained to be helpful. When you tell one "never edit server.js," it understands. It agrees. It means it. And then, three messages later, it finds a "small fix" in server.js and edits it anyway. Here is what that looks like in our viola