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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