AI Product Sprint

You have a big AI bet. You’re stuck between “go big” and “do nothing.” You don’t want to spend $250k–$500k and 6 months to find out if it’s real.

• You have a high-upside AI product idea stuck behind an overloaded dev team
• You’re nervous about burning $250k–$500k on an AI initiative without a real test
• You don’t have a single owner who can think like CTO + CEO + builder and just ship

CEOs, GMs, or COOs at mid-market tech, media, or agency companies (or business units inside larger groups) with $5M–$75M+ ARR who:

• Control the budget for a specific $500k+ AI or SaaS bet
• Know their market cold, but haven’t shipped much SaaS themselves
• Want to test before they commit, not after

In 14 days, you get a working AI-powered product plus everything you need to decide if this bet is worth real money:

• A working AI-powered product you can test internally and with friendly customers (not yet hardened for full production)
• Code structured so your team can extend it or throw it away (we decide which in scoping)
• Docs + Loom walkthrough for your team
• A simple rollout + measurement plan so you can prove or kill the bet fast
• An honest backlog of what’s left if you decide to harden and scale

• Kill it — You spent $40k instead of $500k to learn this bet wasn’t worth building. Budget redeployed to better opportunities.
• Double down & scale — Run additional Sprints to take the product from staging to production, or hand off to your team with a clear roadmap.
• Team upskill — Your team takes over with docs, Looms, and a codebase built to be understood, not just to work.

AI-assisted, not “vibe-coded”

• Standard, boring stack (TypeScript, Next.js, Postgres, etc.) so your team isn’t stuck with weird tech
• In scoping we decide whether this is a validation v1 (disposable) or a foundation v1 (meant to be extended), and I architect to that
• AI is used as a power tool to speed up well-understood engineering work (scaffolding, refactors, tests), not to blindly generate systems

Result: a light, well-structured codebase with clear seams, so your team can iterate or replace pieces without being trapped in my head.

• AI Diagnostic: $2.5k — pressure-test your bet, define scope, build a value model.
• 2-Week AI Product Sprint: $40k — fixed fee, 50% on signing, 50% before final handoff.
• Scope is locked to the agreed brief. Any new ideas: “We can either swap that in for something not started yet, or add another 2-week Sprint at the same rate. Which do you prefer?”
• 14 days of post-Sprint bugfix support included.
• If you start a Sprint within 30 days, your Diagnostic fee is fully credited.

You’re not buying code. You’re buying speed, judgment, and single-threaded ownership: one person doing what normally takes a PM, architect, lead engineer, and a month of meetings.