Four engagements. Fixed scope. Honest tiers.
Think, try, build, lead. A clean ladder you can enter at any rung — or move up over time. Every engagement runs against the same set of principles. The shape of the work changes; the judgment behind it doesn't. If none of these fit, the contact page is one click away.
AI Strategy Sprint
Senior judgment, applied to your situation. A plan you can act on, before any code ships.
A written strategy package — product vision, AI concept, technology recommendations, phased roadmap, and a cost-and-risk read — delivered with a live readout and the rationale behind every recommendation.
- — CEOs and founders who know AI matters but don't yet know where it fits in their product
- — Teams about to commit a six-figure build budget who want senior judgment before they spend it
- — Boards that need a credible, honest plan to point to instead of hype
- — Discovery sessions with stakeholders, customers (when relevant), and an audit of the current product or codebase
- — A written product and AI vision document — where the product goes and why
- — Specific feature concepts with the user and business case for each
- — Technology and architecture recommendations with rationale, including model choices and integration approach
- — A phased roadmap with sequencing, dependencies, and decision gates
- — Cost, risk, and hire-or-buy analysis grounded in real numbers
- — 60-minute readout to your team or board, plus 30 days of async follow-up
- — A single decision-maker who can act on the recommendations
- — Access to the people I need to talk to — engineers, customers, executives
- — Honest answers about budget, timeline, and team constraints
AI Sprint
Ship one production AI feature, end-to-end. Existing product or new build.
A working, production-quality AI feature shipped — into your existing product or as a new build — with code, infra, a 30-minute walkthrough, and the architecture decisions documented.
- — Teams with an existing product who want a senior operator to decide where AI fits and ship the first feature without disrupting the codebase
- — Companies with a defined feature hypothesis that needs proving in production, not in a deck
- — Founders who want a senior builder, not a five-person agency
- — Discovery call and one-page scope document
- — Working AI feature deployed to your staging environment
- — Production-quality code in your repo (TypeScript, Python, or Swift)
- — Architecture diagram and operating notes
- — Live walkthrough and 30 days of async support
- — Repo access and a single technical point of contact
- — Decision authority — one person who can say yes or no
- — Realistic test data (not toy examples)
Product Launch
Idea to MVP in production. Web, mobile, or both.
A production MVP with auth, payments, an AI feature that matters, and a real user able to log in and complete the core flow.
- — Founders with a validated problem and no engineering team
- — Operators inside larger companies who need to skip the IT queue
- — Anyone who has been 'about to start' for six months
- — Architecture and stack decisions documented and defensible
- — Web (Next.js) and/or native iOS app, deployed and live
- — Auth, payments (Stripe), email, and one AI feature integrated
- — Multi-tenant data model with row-level security if relevant
- — Handoff package: runbook, env setup, deploy process
- — Two weeks of post-launch support included
- — A written one-pager: problem, user, the one thing it must do
- — Weekly 30-minute review with a decision-maker
- — Honest answers when I push on scope
Fractional Head of AI Product
Senior AI product leadership, embedded.
Your AI roadmap, your team's hiring plan, your shipping cadence — owned by someone who has done it for 25 years and ships code daily.
- — Series A–B companies with engineering but no AI product leader
- — Boards or CEOs who need to credibly claim 'we have AI product leadership'
- — Teams stuck between 'we built a demo' and 'we shipped to customers'
- — Embedded as senior product/engineering leader on your AI workstreams
- — AI roadmap aligned to revenue and customer outcomes, not hype
- — Hiring scorecards and interview loops for AI roles
- — Two shipped features per quarter as proof, not promises
- — Board-ready monthly briefing on AI program status
- — Clear reporting line — usually CEO or CTO
- — Two days per week of focus time, the rest is async
- — Permission to say no to bad ideas without political cost
Because engagements vary in scope and your situation is specific. The tier signals the magnitude — small, medium, large, or sustained. The exact number is set after a 30-minute scoping call where we both know what we're agreeing to. You'll never get an opaque six-figure quote out of me; you'll get a written scope and a fixed price before any contract is signed.
$ is a focused, two-week strategic engagement. $$ is a four-week build sprint. $$$ is a multi-month MVP or recurring leadership engagement. The tiers are anchored to durations and deliverables, not to your budget. If your situation needs a tier we haven't listed, the contact page is one click away.
No. Every engagement has a defined scope and outcome. If you need bodies, you need a different shop.
I do all the senior work myself. For specialized needs (design polish, mobile distribution, regulated infra) I bring in trusted specialists with your approval.
Standard mutual NDA up front. All work product is yours under a clean assignment. I don't reuse client code in other engagements.
Yes. Below the AI Strategy Sprint ($) tier, you're better served by a tool, a template, or a junior contractor. I work best when the scope is meaningful enough to justify senior judgment end-to-end.
Next.js 15 / React 19 / TypeScript on the web. Swift / SwiftUI on Apple platforms. Python / FastAPI / LangGraph for agent and ML workloads. Postgres / Supabase for data.