VeriOps Whitepaper
The technical case for the LLM determinism layer.
Written for engineers, ML platform leads, and anyone who has to explain to a regulator why an AI agent reached the answer it reached.
What's inside (10 chapters)
- 01The 70/30 split: why an LLM should never be a regular expression
- 02Catalog architecture: signed FSM / PDA / TM artifacts and how they compose
- 03Multi-target emission: bit-identical Python / C / JavaScript / WebAssembly from one spec
- 04The receipt fabric: Ed25519 + hierarchical Merkle + Bitcoin anchor at $0/stamp
- 05Differential attestation: how Schism Hunter caught 5 IPv4 CVE-class divergences in 380 ms
- 06Constitutional gate: sub-microsecond per character substring filtering
- 07Federated trust manifest: multi-issuer and per-tenant whitelist
- 08Live catalog auto-grow: distilling deterministic skills from agent traffic
- 09Compliance mapping: EU AI Act Article 12, FRE 901, FDA SaMD
- 10Empirical validation: 17/17 layers green, 100.0000% catalog match-rate
A note for non-technical readers. The first three chapters are written so a CFO, compliance lead, or product manager can read them end-to-end without prior ML knowledge. They explain in plain language why VeriOps cuts ~70% of your agent's tool-call cost while making every action provable to an auditor.
The remaining chapters get progressively more technical for engineers who want to understand how the receipts and catalog actually work.
We mail the PDF directly so we know who is reading it. No marketing automation, no follow-up sequence.