world-model-diagnostic

What problem does it solve?

It helps you determine whether your company is ready for a world model by exposing where reality becomes interpretation, where signal fidelity lives, and what you should build first without relying on misleading numeric readiness scores.

Core Features & Use Cases

• 20-minute company interview: Runs a lightweight diagnostic to gather company context, signal sources, decision ownership, and outcome recording.
• Paradigm mapping: Maps the company to the right world-model paradigm (vector database, structured ontology, or signal-fidelity) using signal fidelity and boundary complexity cues.
• Boundary-layer audit: Audits 5–10 concrete information flows and labels each as act on this versus interpret this first, including where human editors are missing and the exposure level to simulated judgment.
• Labeled conclusions: Labels every conclusion as Firm finding, Inference, or Open question to keep evidence and synthesis separate.
• Optional OB1 persistence: When Open Brain tools exist, persists exactly three lean artifacts (intake, boundary audit, assessment) for compounding diagnostics over time.
• Starting sequence: Produces a first/second/third build sequence focused on boundary clarity, outcome encoding, and paradigm-specific retrieval/structure.

Quick Start

Ask your AI client to run the World Model Diagnostic on your company and insist it returns paradigm fit, boundary-layer status, top simulated-judgment exposures, and a first/second/third build sequence without any numeric readiness score.