I am working on a framework that allows creating very complex SaaS products with AI, that actually work. Very complex = +100k LOC of one-shotted AI-generated code. Codename o2p - outcome-to-proof.

It is a research-first method for designing or reviewing SaaS products. Its central question is: What customer outcome matters, and what evidence proves that the product delivers it?

Idea or existing product → Research real customers and current work → Identify their Jobs to Be Done → Design the minimum safe workflow, define the interface and system behavior (with a sophisticated scoring system) → Validate the workflow → Implement vertical slices → Observe proof of customer progress