ailev/FPF

Structures multi-actor problem-solving through bounded contexts, explicit decision criteria, and auditable artifacts (Design-Rationale Records, Unstable Term Sets) rather than single-author reasoning. Generates lawful multi-view outputs for engineers, managers, researchers, and auditors from a unified underlying body of reasoning, addressing coordination bottlenecks in mixed human-AI teams where real-world feedback is slow or costly. Operates as an epistemic pattern language and specification—not a fixed methodology—designed to be mined by both humans and AI agents via direct specification loading.

227 stars.