fpf-problem-solving

# First Principles Framework (FPF) An "Operating System for Thought" — a transdisciplinary architecture for reasoning, written in human- and machine-readable pseudo-code. FPF turns raw intelligence (human or machine) into organisationally usable reasoning: explicit bounded contexts, auditable artefacts, multi-view descriptions, and disciplined hand-offs between specialised actors. ## Use cases Use FPF whenever you need to think more rigorously than the situation's default. - Decompose a messy, cross-domain problem into parts that can be reasoned about independently - Make a high-stakes decision with incomplete evidence — and know what evidence is still missing - Get a mixed team to reason together without vocabulary collisions or hidden assumptions - Audit whether a conclusion is well-founded or just plausible - Transfer an insight across domains without losing precision or introducing category errors - Structure a proposal that must survive scrutiny from multiple expert perspectives - Generate alternatives systematically instead of anchoring on the first idea - Define what "better" means before comparing options - Classify what kind of problem you're facing before searching for solutions - Plan how an AI agent should select and sequence its tools under budget and trust constraints - Make a decision under uncertainty — identify options, weigh evidence, and commit with an auditable rationale - Establish whether X causes Y — or just correlates — and determine what intervent...