Build the systems.
Claude SDK build-outs, custom MCP servers, and autonomous agent architectures — engineered for the reliability a regulated environment demands.
Claude-native systems for legal, defense, and compliance teams — built by an attorney who ships production AI infrastructure. Not a lawyer who talks about AI, and not an engineer who talks about law.
Enterprise AI is moving out of pilots and into production — fastest in regulated environments, where the legal, ethical, and operational frameworks have to hold together from day one. The practitioners who can design for that environment — credentialed in the law, published on the technology, and shipping production AI systems — can be counted on one hand.
Claude SDK build-outs, custom MCP servers, and autonomous agent architectures — engineered for the reliability a regulated environment demands.
Decision provenance, pre-registration of consequential changes, and audit-ready records of what the AI did — and under whose authority.
Unify Theory is where those two halves meet — architecture, implementation, and expert guidance held in one mind. You work with the credentialed principal directly.
For teams evaluating Claude or designing AI workflows. Strategy, architecture guidance, vendor selection, and the risk-and-governance framework that has to wrap the technology. One to four hours a month on a standing retainer.
Hands-on Claude SDK build-outs, custom MCP servers, agent orchestration, and integration with your legal-tech, compliance, or enterprise stack. You own all artifacts and source — portable, no vendor lock-in.
Testimony, depositions, amicus contribution, and published-author commentary on autonomous systems, AI in armed conflict, cyber operations, and the law of armed conflict.
Advisory and implementation are grounded in the NIST AI Risk Management Framework, ISO/IEC 42001, and the EU AI Act where applicable — and defensible under scrutiny because the same person who architects the system can defend it.
I'm Elton Johnson. I spent twenty years as a U.S. Army Judge Advocate, retiring as a Lieutenant Colonel — most recently Deputy Staff Judge Advocate of V Corps, after serving as Chief of Military Justice at III Corps, with combat tours in Afghanistan and Iraq.
In between, I taught the law of armed conflict and cyber operations at the U.S. Naval War College's Stockton Center for the Study of International Law — as military professor and associate director, and managing editor of International Law Studies — co-authoring work with Michael N. Schmitt, general editor of the Tallinn Manual.
Now I build. I architect and ship production AI systems on Anthropic's Claude SDK, and I ground them in the law and policy that decide whether they hold up in front of a regulator, a court, or an adversary. You work with me directly — not a junior team.
Builds and operates production Claude-native systems daily — the operating proof behind every engagement.
A Kentucky-domiciled professional-services firm, veteran-owned by a retired U.S. Army JAG officer. SBA-certified SDVOSB and VOSB — eligible for federal set-aside and sole-source contracts. Boutique by design: you work directly with the credentialed principal; larger scopes are delivered through vetted teaming.
Posted as they land. Engagement scope is matched to the security posture actually carried — not assumed.
Every engagement draws on the same patterns I've had to build, break, and rebuild running real commerce, travel, and content operations under real load. When I recommend an architecture, I'm telling you what I've already learned the hard way — not what sounds good in a slide.
A multi-brand, AI-run holding company — one operator, zero employees — running end-to-end on production Claude SDK, a custom MCP toolchain that exposes 500+ operational tools, and scheduled autonomous agents. Commerce, content, advertising, analytics, and customer service, operated daily under pre-registered change discipline. The proof point that the architecture isn't a pitch deck.
An AI-native travel agency, now incorporated in its own right. Dual-supplier hotel rails, Viator-certified experiences, Duffel flights, an AI trip-planning concierge on the web and on a published phone line, and 2,700+ automated tests behind the booking frontend. Its price promise — the first price you see is the only price you pay, taxes and fees already included — is engineered rather than asserted: accuracy is audited against live supplier data before the claim ships.
My own Kentucky law practice, and its flat-fee drafting platform, Cornerstone. The document engine is grounded clause-by-clause in the governing Kentucky statutes and held by 1,400+ automated tests. Clients see their drafted document before they pay. The AI phone intake is hard-gated against unauthorized practice — capture only, an attorney always in the loop. This is where the proof layer meets the practice of law.
Three operating companies, one discipline: verify before acting, pre-register consequential change, gate everything outbound. The discipline is the product.
Evaluating Claude, designing an AI-native workflow in a regulated domain, or in need of expert input on autonomous systems or the law of armed conflict — book a consultation or write me directly. No lead forms, no intake funnel. Pricing follows a confidential scoping conversation; conflicts are cleared before we talk, and engagements operate under NDA.
Book a consultation [email protected]The convergence glyph — three strokes resolving to a single rust node: theory, method, and practice, unified. Built to survive a 48-pixel tile where the ceremonial double-ring seal dissolves; the seal remains the mark of record for documents.