What are Prateek Saxena's frameworks? Five working models for putting AI agents to work in real business: the Operator's Harness, the Self-Improvement Protocol, the Monday Morning Preflight, vibe coding in a suit and briefing agents. Each grew out of operating experience, not theory, and each links to the essay that explains it fully.
These are not academic models. Each one exists because something in a real business needed a name before it could be managed. The diagrams are deliberately simple: if a framework cannot survive being drawn on a whiteboard, it is not a framework.
The Operator's Harness
The operating system around an AI model: the workflows, permissions, verification steps and audit trails that let agents act safely inside a real company.
Self-Improvement Protocol (SIP)
A feedback loop in which a mistake is corrected once and the correction becomes a standing rule, so the agent improves instead of repeating the error.
Monday Morning Preflight
A readiness test for AI agents: can they turn Friday's loose ends into a clear Monday operating plan before the team loses time organizing itself.
Vibe coding in a suit
A business operator using AI agents and plain language, not code, to build the tools, dashboards and systems their company actually needs.
Briefing an AI agent
Giving an agent a business goal, the context to understand it, the constraints it must respect and the review criteria for its work. You are not asking for an answer; you are asking it to do work.
Terms behind these frameworks are defined plainly on the definitions page. New here? The Start Here page suggests a reading order, and the AI agents for business operators hub collects the practical guidance in one place.