AI behavior, held to a defined state — and proven.

BOS/BSE is an external, model-agnostic control architecture that makes defined aspects of AI behavior measurable, auditable, and deterministically correctable — without asking an AI model to evaluate or police itself.

The same input yields the same auditable result, every time, under a versioned ruleset — no model judgment in the measurement path.

Patent pending

—— measured drift from defined state - - deterministic correction to baseline • detection

The problem

Today's AI governance tools ask models to grade themselves.

Evaluation that depends on model judgment inherits the very failure modes it is meant to detect. Correction by re-prompting or regeneration is not reproducible. And without tamper-evident, versioned records, compliant behavior cannot be demonstrated after the fact — to an auditor, a customer, or a court.

BOS places behavioral measurement, disposition, correction, and audit outside the model, where they can run on fixed, versioned rules and leave a record a hostile examiner could check.

The architecture

Measure. Correct. Prove.

01 · Measure

Deterministic measurement

Behavioral drift from a defined state is scored by fixed rule-based extractors — no AI judgment in the measurement path. Same input, same ruleset, same score.

02 · Correct

Correction without regeneration

Deterministic operators transform output directly rather than re-rolling the model — so the correction itself is reproducible and reviewable.

03 · Prove

Audit-integrity chain

Every measurement and decision is written to a tamper-evident, hash-chained, externally anchored record bound to the ruleset version that produced it.

Status of record

We say exactly what is built — and what isn't.

Claim discipline is part of the architecture. The current state, stated the same way we state it to federal reviewers:

Built · VerifiedSix-axis deterministic behavioral measurement stage (controlled environment)

Built · VerifiedAudit-integrity chain: deterministic ledger, tamper-evident hash chaining, external anchoring, witness receipts

Built · VerifiedRouter decision-trace layer; deterministic dispositions

Built · VerifiedTwo narrow deterministic post-generation correction operators

In developmentGeneralized correction beyond the existing operators

In developmentLearning stage and the fully integrated closed loop

All results are batch-relative and produced in a controlled test environment. BOS does not claim the architecture is validated, production-ready, deployed, or proven in real-world operation. A blind human-keyed prevalence study is currently in the field.

The company

Behavioral Operating Sciences LLC

BOS is a founder-led Florida company building AI governance and AI safety infrastructure: deterministic behavioral measurement, auditable correction, and compliance-grade records for trustworthy AI. The work grew out of independent R&D into why AI systems drift from defined behavior over extended interactions, and is developed under versioned, hash-identified artifacts with independent verification at every lock — the same discipline the product exists to provide.

The company is actively engaged with U.S. federal small-business research programs. For inquiries, verification requests, or program correspondence:
dinomaglio87@gmail.com