2-Week AI Product Sprint
Validate or kill your $500k bet before burning 6-12 months of engineering.
Sometimes that proof of concept is an AI feature your customers touch. Sometimes AI is under the hood as the accelerant for an internal tool or workflow. Either way, you prove or kill the bet fast.
You've done the AI Diagnostic. The bet is defined. Now I turn it into a live, testable product in 14 days.
Haven't done the AI Diagnostic yet? Start there
I've worked with teams at
How this fits with the AI Diagnostic
Most clients don't start with a Sprint. They start with a $2,500 AI Diagnostic to decide if the bet is even worth building.
If the Diagnostic says "this bet is real," we can roll that scope straight into a 2-Week Sprint. If it says "fix workflows / team first," that comes first.
Step 1
AI Diagnostic ($2,500)
Define the bet, scope the build.
Step 2
2-Week Sprint ($40k)
For the right bets. Ship and validate.
Not sure if you're ready? Take the 60-second AI Readiness Scorecard.
If you Sprint, 100% of your $2,500 Diagnostic fee is credited toward the Sprint when you start within 30 days.
The problem
You have a big 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.
- A high-upside product idea stuck behind an overloaded dev team
- You're nervous about burning $250k-$500k on a bet without a real test
- You don't have a single owner who can think like CTO + CEO + builder and just ship
Who this is for
CEOs, GMs, or COOs at mid-market tech, media, or agency companies ($5M-$75M+ ARR) who:
- Control the budget for a specific $500k+ bet
- Know their market cold, but have engineers who aren't experts at SaaS or AI products
- Want to test before they commit, not after
What you get in 14 days
You get a working proof of concept scoped to one workflow, with docs and a simple rollout plan.
- A working proof of concept you can test internally and with friendly customers
- A simple rollout and measurement plan so you can prove or kill the bet fast
- Docs and Loom walkthrough for your team
- A prioritized backlog of what to build next
Does 14 days actually make sense?
Short answer: yes, but only because of how I scope and build.
- One bet, one user, one core workflow, one metric. Not "reinvent the platform."
- The real thinking happens before the clock starts, in the Diagnostic + Day 0 spec.
- AI is the power tool: it handles scaffolding, refactors, and tests. I handle product judgment and tradeoffs.
- If you want multi-system integration or company-wide AI change management, we stack multiple sprints or we don't start.
How I protect your downside on a Sprint
- Fixed scope, fixed fee. We agree in writing on one bet, one user, one core workflow, and a single success metric on Day 0. If something new comes up, it goes into a separate, separately priced follow-on Sprint — not this one.
- Standard, boring stack your team can own. TypeScript, Next.js, Postgres, your GitHub. No proprietary frameworks, no black boxes. Your engineers can read and run the code without me.
- Code lives in your repos from day one. You're never dependent on me to turn the lights back on. You have working code, docs, and Loom walkthroughs at the end of the 14 days.
- 30 days of post-Sprint bugfix support. If something in the scoped build breaks under normal use in the first 30 days after handoff, I fix it at no extra fee.
Inside the Sprint
Day 0
Scoping
2-4 hour working session to define the single outcome, constraints, and success metric. We agree in writing what is in and out of scope.
Week 1
Build
I architect, build, and integrate. You get async demos/check-ins; minimal meetings.
Week 2
Refine & handoff
Testing, polish, deployment, docs, Looms, and handoff.
What happens after
AI moves fast enough that the methodology you used three months ago might be slowing you down today. That's why every Sprint ships with current best practices, not last quarter's. And it's why many clients come back — not because the first build broke, but because the landscape shifted.
- Kill it — You spent $40k instead of $500k to learn it wasn't worth building — or discovered a different strategy. That's a good trade.
- Double down and scale — Run additional Sprints to take the product from staging to production, or hand off to your team with a clear roadmap.
- Embed the workflows into your team — Optional: if you want your engineers building this way on their own, I offer an AI training program to embed these workflows into your team's daily process.
Built so your team can take over on day 15
I bring tools most teams haven't discovered yet — that's part of the value. But nothing I build locks you into a specific vendor or framework. The code is yours, the strategies are portable, and your team can read and run everything without me.
Investment & terms
- AI Diagnostic: $2,500 — 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.
- 30 days of post-Sprint bugfix support included.
- Diagnostic fee fully credited if you start a Sprint within 30 days.
You're not buying code. You're buying speed, judgment, and one person who owns the whole thing.
Ready to Sprint?
Already done the Diagnostic? Book your Sprint date.
Haven't done the Diagnostic yet? First step is a free 20-minute triage call.
Start with an AI Diagnostic