Proof Points
Systems that remember.
We don't just consult on Semantic Memory Systems. We build them. The methodology we teach is the methodology we use.
The Recursive Proof
Three production systems. All live. All built on canonical claims.
This site is built this way. The claims on this site aren't scattered across independent pages. They exist as canonical assertions in a structured knowledge base. The pages you see are derived from those claims. When we update a canonical claim, every page that references it can update.
AI Hallucination Detector
Find out if your AI is hallucinating.
Your documentation is the source of your AI's knowledge. If it's wrong, contradictory, or outdated—your AI confidently delivers wrong answers. The Hallucination Detector scans your documentation and delivers a triage report showing exactly which files are causing your AI to hallucinate.
TerpTune Case Study
How semantic memory invalidated market confusion.
A case study in turning fragmented domain knowledge into personalized intelligence. TerpTune demonstrates the full canonical-episodic-threshold architecture: 71 research-backed claims, episode tracking, threshold discovery, and an AI that calculates answers instead of searching for them.
This Website
You're inside the proof.
This site is a semantic memory system you can examine, trace, and verify. Every page derives from canonical claims. The methodology we teach built this page. View the five-layer architecture and trace any claim back to its source.
What The Proof Points Prove
Documents are outputs, not sources. They're generated from canonical claims, not authored independently. One truth, multiple presentations.
Canonical claims work. The Drift Detector's documentation health markers, TerpTune's neurochemistry knowledge, this site's methodology claims—all stored as structured, verified, atomic units. Queryable. Citable. Updateable.
Derivation works. Every proof point generates outputs from sources. One truth, multiple presentations.
The methodology transfers. TerpTune proves this works for neurochemistry. This site proves it works for content. The Drift Detector proves it works for documentation health. Your domain is next.
Request Your Free Test
Find out if your documentation has the same problem these systems solve.