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llms.txt Content

# FactorGuide — Decision Intelligence Oracle for AI Agents # https://factorguide.io > Given a coupling structure, how should I factorize — and what will it cost me? ## What FactorGuide Does FactorGuide accepts a description of statistical dependencies between variables and returns actionable factorization guidance. For every pair of variables, it classifies the coupling into one of three zones: Zone 1 (FACTORIZE) — Coupling below threshold. Safe to treat as independent. No meaningful information loss. Zone 2 (ASSESS) — Coupling in the dependency asymmetry region. The correct action depends on your model class: constitutive coupling (load-bearing, removing it breaks the system) and inductive coupling (scaffolding, removable once constrained) have opposite risk profiles at the same IC value. Zone 3 (PRESERVE) — Coupling is load-bearing regardless of model class. Must be modeled jointly. Factorizing here destroys essential information. Every response includes a falsifiable prediction with a commitment hash. When you report your actual inference diagnostics, the system refines future predictions. FactorGuide gets more accurate with use. ## When to Use FactorGuide Use FactorGuide when your agent faces a factorization decision: - Bayesian inference: Which parameters to model jointly vs. factorize in MFVI, HMC, or variational methods - Multi-agent coordination: Which agents need shared state vs. independent operation - Portfolio optimization: Which asset correlations are load-bearing vs. noise - System decomposition: Where to draw service boundaries in coupled architectures - Sensor networks: Local anomaly vs. system-wide correlated event - Causal inference: Which dependencies to preserve for valid intervention analysis Do NOT use FactorGuide for: uncoupled systems, single-variable problems, or situations where all variables are already known to be independent. ## Authentication All endpoints requir

OpenAPI Spec (preview)

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