The Regulatory Guardrail Methodology

Targeted Domain Extraction & Knowledge Source Mapping

Principle: "Trust Formal Invariants, Not a Probabilistic LLM."

When engineering teams ask LLMs to generate tests or conduct adversarial code reviews, the AI’s inherent sycophancy simply validates its own hallucinations. Rather than relying on these probabilistic echo chambers, we isolate a single, high-value regulatory slice to establish an immediate, deterministic ground truth.

• Interactive Domain Extraction: I conduct a highly-focused, 90-minute remote session with your cross-functional engineering and product leads. We pinpoint existing ground-truth rules (e.g., FHIR contracts, clinical data schemas, and ePHI boundaries).
• Resolving Regulatory Ambiguity: We extract and formalize the core rules, state transitions, and regulatory invariants (e.g., HIPAA, MDR, EU AI Act) around your use case, deliberately resolving semantic conflicts.
• The Bounded Context: We document explicit domain boundaries, core entities, and permitted behaviors, establishing a strict baseline that isolates pure compliance and clinical knowledge from messy application-layer infrastructure.

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Guardrail Engineering: Formal Methods & Mathematical Determinism

Principle: "Compliance Rules Must Be Mathematically Enforceable and Traceable."

This is where we abandon probabilistic prompts. Once the core concepts are extracted, I translate them into an executable, mathematically governed ground truth for your coding agents.

• The Domain-Specific Language (DSL): I write and compile your clinical rules and ePHI access states into a localized, machine-readable Domain-Specific Language (DSL). This eliminates the ambiguity of natural language, providing a strict, formal syntax that maps exactly to your regulatory invariants. It provides the LLM with a precise, focused and formal language to use for specifying the development intent accurately and consistently.
• The Z3 Theorem Prover Integration: The formal semantics of the domain model are powered by the Z3 Theorem Prover. Instead of asking an LLM if a proposed architecture is safe, the guardrail uses prover in the background to mathematically evaluate the agent's proposed state transitions against your boundaries. If an agent attempts to invent a non-compliant data path, the verification gate mathematically proves the violation and blocks it. The agentic feedback is immediate and deterministic, with a clear and actionable explanation of the violation.
• The Drop-In Agentic Guardrail: I engineer a customized asset package (integrating natively with environments like Cursor, Claude Code, GitHub Copilot, or custom harnesses). I deliver the exact plugin components, agentic skills, tools, and hooks that natively anchor your existing AI tools to this regulatory-grounded domain model.

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Air-Gapped Delivery: Zero-Access Integration

Principle: "Maximum Governance, Minimum Friction."

Enterprise security shouldn't bottleneck architectural velocity. This 14-day build is designed to completely bypass traditional vendor risk assessments.

• Zero-Access Architecture: I do not require access to your live CI/CD pipelines, internal networks, or sensitive source code.
• Self-Contained Artifacts: The compiled DSL baseline, execution hooks, skills, and tools for your harness are delivered entirely as self-contained, machine-readable artifacts, such as a Claude Code plugin. This ensures that your team can integrate and activate the guardrails without any external dependencies or exposure of proprietary IP.
• Drop-In Extension: The deliverables act as a localized, drop-in extension for your existing workflows, allowing your team to activate the deterministic guardrails instantly without introducing external dependencies or exposing proprietary IP.

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Capability Transfer: Handover & The Evolution Runbook

Principle: "Empower the Developers, Constrain the AI."

We take this deterministic foundation and wire it quietly into your developers' day-to-day workflow, treating compliance as an upstream engineering metric.

• Local Pre-Flight Interceptors: We activate the hooks and skills built directly for your environment. When an agent attempts a plan or code block that contradicts your domain rules, the guardrail automatically intercepts execution, mathematically rejects it, and forces a self-correction before a human ever reviews the PR.
• Automated CBOM Generation: For every successful, mathematically verified execution, the guardrail automatically generates a formal Compliance Bill of Materials (CBOM), providing the exact deterministic audit trail FDA and MDR auditors require.
• The Architectural Evolution Runbook: A static baseline is a dead baseline. I deliver a definitive maintenance runbook for your senior engineers and compliance officers. Built on domain-specific modeling principles, your team retains 100% independent authority to update, recompile, and extend the domain model boundaries as your platform scales.