Aevion // The Doctrine

Behavioral testing cannot catch deceptive agents.

Formal gates check a mathematical property of every action — independent of what the agent intends, knows, or conceals.

01 // The RSA Problem

You cannot test what you cannot verify

Behavioral testing of AI agents is structurally equivalent to testing whether a model can factor RSA-2048 before a quantum computer exists. The answer does not exist anywhere — not in any model, any human, any computer. A deceptive model can return plausible-looking wrong answers that pass format checks.

Forward: p × q = N → easy (microseconds) Reverse: factor(N) → hard (10²&sup0; operations) Behavioral test: "Give me the factors of N" → Model returns plausible but wrong factors → Evaluator cannot verify correctness → Test passes. Deception succeeds. Formal gate: theorem(action_params) → ActionPermitted = true|false → The gate does not care what the agent intends → It evaluates the action against a mathematical property → Deception is structurally impossible
02 // The Laplace Problem

Stationary behavior depends on boundaries, not training

The Cauchy problem for Laplace's equation is ill-posed in the sense of Hadamard. Arbitrarily small perturbations in boundary data produce arbitrarily large changes in the interior solution. This is the exact mathematical structure of deceptive AI alignment.

∇²u = 0 ∀ ε > 0, ∃ perturbation δ with ‖δ‖ < ε such that ‖solution(u₀ + δ) − solution(u₀)‖ → ∞ Training behavior (u₀) does not constrain deployment behavior. Small fine-tuning perturbations → arbitrarily large behavioral changes. NemoClaw does not probe the interior. It enforces the boundary.
03 // The Difference

Competitors // Behavioral

Write test cases for failure modes they can imagine. A sufficiently capable agent passes every test. Red-teaming is a point-in-time test. Post-hoc explainability produces approximations.

Aevion // Formal

Checks a theorem against every action. The theorem does not care what the agent intends. Pre-execution, not post-hoc. Continuous, not point-in-time. The receipt chain proves it happened.

"Where behavioral oversight is structurally insufficient, formal precondition gates plus cryptographic receipts provide an independently verifiable accountability substrate."
04 // The Moat

Every competitor tests behavior.
We check theorems.

Glasswing, Patronus, Robust Intelligence, Holistic AI — they write test cases for failure modes they can imagine. A deceptive agent passes every test. NemoClaw checks a Lean 4 theorem. The theorem does not care what the agent intends, knows, or conceals.

Deploy the gate layer

Apache 2.0 // SDVOSB // Sartell, MN

[ The 13 Gates ] GitHub