Production AI Engineering
Ship AI systems that survive real users, real costs, and real failure modes. Architecture, evals, observability, governance, and the production tradeoffs most teams skip until it hurts.
Explore the serviceProduction AI Engagements
Most AI projects die between demo and production.
I help engineers and teams ship better software with AI — smarter workflows, real-world decision-making, and systems that survive past the demo. For teams, that means working together on retainer. For everyone else, it's what I write and build in public.
Book an intro call- 01Over 15 years building production software
- 020 → 50+ engineers scaled as CTO at Buoy Software
- 03FDA-cleared medical device software shipped
- 041+ yr daily Claude Code user, documented publicly
Latest insights
Practical writing and video on AI agent architecture, development workflows, and what actually holds up in production.
Read the latest
VideoI Built a Renewal Risk Agent with Docusign MCP
Signed contracts that quietly auto-renew are where procurement money leaks. I built an agent on Docusign MCP that catches it before it does.
WebMCP: Make Your Site Agent-Ready Without a Separate MCP Server
WebMCP lets your web app register typed tools for browser agents with document.modelContext.registerTool. No separate MCP server. Here's how it works, and when you still need one.
Read moreScheduling Mastra Agents: A Weekly Report That Delivers Itself to Slack
Schedule a Mastra agent with a scheduled workflow: declarative cron, date ranges in code, an evidence check, and a Slack post the model can't trigger.
Read moreWhat a Fractional CTO Costs in 2026 When Agents Make Senior Judgment Go Further
Fractional CTO pricing in 2026 ranges from about $3K per month at the low end to $15K+ per month for ongoing architecture review, delivery guidance, and production judgment. The important change is that a senior human can use agents to turn decisions into reviewed implementation faster without handing judgment to the model.
Read moreAgent Loops vs. Workflows: The Boundary That Makes AI Reliable
Most AI demos hand one agent the whole job. When the output touches reputation, money, or outbound email, use a workflow instead of an agent loop. Here's where the boundary goes, built with Mastra.
Read morePartners & Clients
Areas of focus
Areas of focus
Services & Specialties
I offer a range of services but every conversation begins with the problem in front of you: what you're trying to ship, where it's breaking, or what decision is on the table. From there I'll work with you to determine what services are needed to get you to the goal post.
Production AI Engineering
Ship AI systems that survive real users, real costs, and real failure modes. Architecture, evals, observability, governance, and the production tradeoffs most teams skip until it hurts.
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AI Agents
Design agents with memory, tools, and boundaries that actually hold up. Memory systems, orchestration, tool use, governance, and the production patterns behind agentic systems.
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Fractional CTO
CTO-level engineering leadership, augmented by agents that extend what one person can ship — at a fraction of the cost of a full-time hire. Architecture, strategy, and shipped code.
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Vibe Code Audit
A professional security and production-readiness review for apps built with AI coding tools. Written report with prioritized fixes, delivered in days.
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Mastra Consulting
Building with Mastra? I help teams design, evaluate, and ship reliable TypeScript agent systems with architecture, evals, observability, workflows, RAG, memory, and implementation support.
Explore the serviceWorking with me
01
Foundation Sprint
2 weeks • $12k
A focused 2-week engagement that produces a written architectural assessment and one shipped foundation piece. Either side can walk away after, or convert to retainer.
Most engagements that fail do so because both sides committed before they understood the work. The Sprint is small enough to validate fit on both sides — and produces something real either way.
What you walk away with
- A written architectural assessment of your AI stack
- One shipped foundation piece — eval framework, architecture document, migration recommendation, or Claude Code rollout playbook
- Prioritized roadmap for the next phase
- Honest recommendation: extend into retainer, walk away with what we built, or referral if I'm not the right fit
02
Production AI Retainer
Ongoing • $15k – $60k / mo
Ongoing engagement at the intensity you need — Advisory, Embedded, or Full. Flat monthly rate, flexible hours, direction reset every two weeks. Two-month minimum after Foundation Sprint, then 30-day notice.
Senior architectural guidance without heavy implementation. Architecture review, technical strategy, hiring support, async availability for high-stakes decisions.
Best for: You have a strong engineering team but need a senior voice on AI architecture, hiring, or strategic decisions.
Hands-on implementation alongside advisory. I'm in your codebase shipping foundation pieces while also helping you make architectural calls.
Best for: You want me writing code on the highest-leverage workstreams while still advising the broader stack.
Senior IC running point on an AI workstream end-to-end. Build-heavy engagements where I function as your AI lead.
Best for: Build-heavy engagements where AI is the product or core differentiator. Foundation Sprint required first.
Every retainer includes
- Weekly working session and async Slack access
- Direction reset every two weeks; engagement evaluated at the quarter mark
- Written artifacts your team can reference long after I'm gone
- Flat rate, flexible hours within the stated range — no timesheets
- Two-month minimum after Foundation Sprint, then 30-day notice either side
From the clients
“It's rare to find an engineer with deep technical knowledge, strong business acumen, and who also speaks “human”...
Eric GolmanWareSpace, CMO
He turned out to be a true strategic partner who not only brought proper DevOps to that app and every other project we are working on at WareSpace, but also helped define the product direction, scope, roadmap, etc. through consultative working sessions.”
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Case studies
Free resources
A few tools you can run against your own codebase right now — free, no call required. Start with where things actually stand before deciding what's worth fixing.
Read the latestToolToolTool
Codebase Readiness Assessment
A free agent skill that scores your repo across 8 dimensions for AI-agent readiness and gives you a prioritized improvement roadmap.
Agent Eval Scorecard
Score yourself across the four layers of agent evaluation in two minutes and find out where your quality gaps are before your users do.
Agent Governance Scorecard
30 yes/no questions across four dimensions. Find out if what you shipped holds up under scrutiny.
Ready to look at where your AI adoption stands?
30 minutes. No pitch deck. We'll talk through what you're working on and I'll tell you honestly whether I can help.