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
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First Principles Framework (FPF) — thinking amplifier. Use when user wants to think through a complex problem, architect a system, evaluate alternatives, decompose complexity, or plan rigorously. Also triggers on: FPF, bounded contexts, SoTA packs, assurance calculus, FPF Parts A-K. Not for simple task planning, general philosophy, or Agile unrelated to FPF.
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First Principles Framework (FPF) — transdisciplinary reasoning architecture for systems engineering, knowledge coordination, and mixed human/AI teams. Use when the user mentions FPF, first principles, bounded contexts, SoTA packs, concept unification, assurance calculus, or FPF Parts A-K. Not for general philosophy or Agile unrelated to FPF.
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