Expert guidance for organizations building AI systems with purpose and precision
With over 20 years building products across SaaS, digital signage, and enterprise communications, I bring a perspective grounded in both philosophical rigor and practical execution.
I co-founded Automotive Broadcasting Network, a national SaaS media platform powering 12,000+ automotive endpoints across interactive systems, digital signage, and OEM networks, and led it through acquisition by Spectrio. As VP of Product Management at Spectrio, I spearheaded platform consolidation across multiple legacy systems, modernized our flagship CMS with AI-enhanced workflows and advanced analytics, and directed product strategy across the company's SaaS and digital-experience platforms.
Today, I'm deeply immersed in AI—researching, prototyping, and developing practical applications that connect emerging technology to real operational value. I help organizations design intelligent product ecosystems and go-to-market strategies that elevate customer experience without sacrificing sustainability or thoughtfulness.
Strategic guidance on where and how AI can genuinely improve your operations, avoiding hype and focusing on measurable outcomes.
Building custom AI assistants and workflow automation that help teams work more effectively and make better decisions.
Interim leadership and advisory for teams navigating complex technical product decisions and organizational change.
Production AI-powered job search platform in private beta. Built entirely with AI agents as the engineering team—100+ features shipped across 20+ releases with zero traditional developers. The platform scores job matches against your resume and dream job profile using Claude, delivers personalized morning briefing emails, and searches 9 job board APIs simultaneously. Designed for senior product managers who are tired of keyword-matching job boards that waste their time.
Next.js · Supabase · Claude API · RAG pipeline · Multi-agent development · Vercel
Live in private beta · Join the Beta →
Open-source governance framework for AI-assisted software development. Thirteen articles covering chain of command, mandatory planning, code quality enforcement, debugging hierarchy, prohibited actions, and amendment processes—every rule written in response to a real production failure. When you run AI coding agents against a production codebase, you need more than prompts. You need a constitution. Works with Claude Code, Cursor, Copilot, Windsurf, or anything that reads a CLAUDE.md.
Constitutional AI governance · Multi-agent coordination · Production-tested
Open source · View on GitHub → · axispraxis.ai →
Open-source MCP server for multi-agent coordination. When you run multiple AI coding agents against the same codebase, someone has to coordinate them—and it shouldn't be you. The bridge provides structured checkpoints, per-agent guidance channels, auto-read hooks, and constitutional compliance checking. File-based, no database, no WebSocket—just JSON on disk that any agent can read. Born from running three Claude Code agents in parallel against a production app and nearly losing my mind.
MCP protocol · Multi-agent orchestration · Async coordination · File-based IPC
Open source · View on GitHub →
Knowledge archaeology for the digital age. Transforms 20 years of Apple Mail archives into searchable intelligence using RAG architecture—463,000 emails, 11GB, 16 years of context made semantically searchable. What patterns emerge when you can finally query your entire communicative history? Mac users are an underserved wedge market for this kind of tooling.
RAG architecture · Vector embeddings · Semantic search · Apple Mail integration
Production prototype · Request GitHub Access →
Agentic assistant exploring the boundaries between human judgment and machine orchestration in complex project management. Automates meeting intelligence and status aggregation while preserving the critical human role in risk assessment and stakeholder navigation—investigating what aspects of leadership can be augmented versus what must remain irreducibly human.
Multi-agent orchestration · Claude · Function calling
Exploring pilot opportunities with enterprise teams · Request GitHub Access →
Examining the tension between scale and authenticity in local marketing. Manages web properties, advertising, and campaigns across hundreds of dealerships while preserving the local character that makes each one distinct—exploring whether personalization at scale is genuine or performative.
Image generation · Content synthesis · SEO optimization
Concept / discovery - leveraging 15+ years of automotive industry expertise · Request GitHub Access →
Epistemological experiment in automated analysis. Ingests virtual data rooms to perform comprehensive due diligence while confronting the limits of pattern recognition without lived experience. Where does machine analysis end and human judgment begin? What risks are visible only to those who've built companies, not just those who've read about them?
Document parsing · Cross-reference mapping · Structured extraction
Concept / discovery - focused on buy-side PE/VC use cases · Request GitHub Access →
Exploring AI applications in operational intelligence, supply chain visibility, and technical workflow automation. Focus on tools that solve real problems without creating new ones.
Vibe coding gets you a demo. Governance, memory, and conviction get you a product. What two months of production AI development taught me about the difference.
Read on LinkedIn →Gartner says 50% of companies that cut staff for AI will rehire by 2027. AI should also serve the people dealing with the consequences—not just the people making the cuts.
Read on LinkedIn →Introducing the Axis Praxis Constitution—a governance framework for teams building software with AI agents. 13 articles. Every rule exists because something broke.
Read on LinkedIn →An AI-first job search agent designed to restore clarity and trust to the job search process. Scores jobs against your actual resume. Flags ghost postings. Free private beta.
Read on LinkedIn →Reflecting on Andrew Ng's metaphor and Hume's is/ought problem—the power of AI lies not just in what it can do, but in how it sharpens the choices we face.
Read on LinkedIn →Exploring diffusion models through cosmic metaphor—what happens when AI learns to create the same way the universe did, sculpting order from chaos?
Read on LinkedIn →Interested in discussing how thoughtful AI integration can improve your operations?