ailev/FPF
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First Principles Framework (FPF): AI-native pattern languages for systems engineering, research and management. Shared human-AI reasoning for architecture decisions, evidence, trade-offs and method engineering. FPF Core and domain frameworks (DPFs).
项目介绍
First Principles Framework (FPF) is a standards-style pattern language for turning difficult engineering, research, management, and mixed human and AI work into explicit, reviewable, improvable reasoning.
FPF helps when a project has outgrown one clever conversation. It is useful when meanings, claims, options, evidence, architecture, work decisions, publication forms, and improvement criteria need to stay coherent across people, teams, tools, time, or AI agents.
Use FPF as a reference model and pattern language, not as a linear textbook. Start from the working question you bring from your project. Bring in internal FPF terms only after they help you keep the work precise.
Begin with the…
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