Governed Strategy
Validating ICP resonance and AI readiness through falsification-based discovery. Ensuring commercial viability before committing capital to implementation.
Product & engineering dossier New York / Remote
Governed AI systems engineered for dependability.
Senior operator with 25+ years across product, project, and technical leadership.
Former CTO of publicly traded Artnet and Founder/CTO at TruthShield. Specializing in production-oriented governed AI: deterministic execution, cognitive architectures, and policy-gated controls. I personally ship software while leading technical organizations and product turnarounds.
Product company
Products built and stewarded through MC Product Labs.
Focused software and bounded business experiments spanning compliance evidence, licensing, market intelligence, content engineering, and public posture—each carried only as far as the evidence supports.
Preveti
Vet before bet—challenge product assumptions, examine alternatives, and authorize evidence before committing engineering time or capital.
- Assumption testing
- Simulation + human studies
- Decision records
Allumata
Engineered content for agencies—structural specs, validation rubrics, and signal loops so copy is manufactured to an outcome, not guessed at.
- Structural analysis
- Side-by-side audit
- Section-level attribution
Attestrue
Independent evidence when proof matters—signed records, policy-version evidence, and corroboration for consent and compliance events.
- Signed records
- Policy-version evidence
- Proof anchors
Licenz
Enterprise airgap licensing in a 2MB Rust binary—offline-first validation, hardware binding, and an auditable open-source client.
- Offline-first
- Air-gapped support
- MIT-licensed client
PubOps
The operations plane for public posture—inspect legacy claims, authorize repositioning moves, and govern required expressions across channels.
- Posture-gap review
- Human-authorized moves
- Evidence-bounded
FrontRails
A suite of MCP tools for teams who want LLM speed without drift, rework, or broken flows—intent, structure, security, and UX aligned to what actually ships.
- MCP tool suite
- Local CLI control layer
- System-level alignment
Open Source · Praxec
Safe AI requires deterministic boundaries.
Praxec is an open-source agentic harness—hosting workflows, enforcing policy gates, and retaining control over state, tools, approvals, and evidence while models do probabilistic work.
Explore the Praxec organization ↗The harness
Hosts agentic workflows with legal transitions, durable policy gates, human approval, and audit trails—authority in code, not model interpretation.
Cognitive architectures
Structured, governed approaches for discovery, analysis, FMECA, implementation, and verification.
Deterministic MCP tools
Open-source utilities—CPM planning, elicitation, scientific process, cross-matrix analysis, corpus work, and operational tools—that plug into the harness.
FrontRails integration
The commercial FrontRails MCP tools suite runs on the harness—intent, structure, security, and UX aligned to what actually ships.
Family Study: Temporal Runtimes
Event-processing for distributed systems.
The tflo family explores embeddable temporal event processing across Rust, WASM, React, and browser environments—with shared models and deterministic behavior as design goals.
Explore tflo repositories ↗Runtime
tflo-core
The embeddable Rust engine and shared temporal foundation.
Interface
tflo-react
Declarative temporal state for React applications backed by the shared runtime.
Interaction
tflo-browser-events
Browser-event capture and signals designed around durable identifiers and pluggable sinks.
Leadership / Attributed Evidence
Leadership &
Attributed Proof
Breadth is useful when it becomes pattern recognition: across public companies, billion-dollar enterprise software, regulated domains, and early-stage teams.
Public-company CTO leadership
Infrastructure modernization under active pressure
Led the migration and consolidation of more than 600 virtual servers to Google Cloud with Infrastructure as Code, zero downtime, and a tested disaster-recovery foundation.
Read external case study ↗Billion-dollar enterprise · Medidata
Flagship-product architecture and portfolio repair
Architected and repaired flagship products and led technical turnarounds for some of the weakest products in the portfolio—work requiring product judgment, delivery discipline, and hands-on technical depth.
Program and delivery governance
Critical-path discipline for consequential work
Applies formal project planning, including CPM, to expose dependencies, sequence work, and control delivery risk—and builds tools that bring the same discipline to agentic coding.
Working method / 03
Conceive the product.
Steward the system.
Discovery, boundary analysis, critical-path planning, implementation, and verification form one accountable delivery loop. The artifacts change; the discipline does not.
Discover→Model risk→Plan the path→Ship→Verify
Consultative Availability
Startup Advisory for Technical Founders.
Focused help when architecture, product direction, AI integration, or delivery mechanics are becoming material company risks. The work is practical, bounded, and designed to leave the team stronger.