Most AI Projects Die at the Handoff. Mine Don't.

The pattern is everywhere in 2026: a consultant delivers an AI strategy deck, nobody owns execution, and the pilot never reaches production.

The overwhelming majority of AI initiatives fail exactly there. Not at the model, but at the engineering around it.

I close that gap because I never leave the room. As your fractional CTO, I make the strategic calls on build vs. buy, vendor selection, architecture, and hiring. Then I open the editor and ship alongside your team.

• AI with skin in the game. I'm not advising from the sidelines. I run DogBase, an AI-powered SaaS platform serving working-dog teams in 15+ countries. Every recommendation I make, I've tested with my own product and my own money.
  
• Strategy that survives contact with production. Agent architectures, LLM integration, agentic workflow automation, and the unglamorous engineering (evals, guardrails, cost control) that decides whether AI works or embarrasses you.
  
• Senior execution, small footprint. 15+ years across full-stack, mobile, and cloud means one person covers what used to take a team. With today's AI tooling, one person also ships faster than a team.
  

You get a CTO's judgment and a senior engineer's output, without the $250K+ full-time seat.

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