AI Prototype Sprint
From idea to working prototype in 4–6 weeks.
The Problem We Solve
Your idea is real. Proving it shouldn't take 18 months.
Founders and innovation leads spend months in meetings debating whether an AI idea is feasible. By the time a decision is made, the market has moved. We've watched teams burn six figures on engineers before anyone tested whether users actually wanted the product.
Why This Matters
Founders and innovation leads spend months in meetings debating whether an AI idea is feasible. By the time a decision is made, the market has moved. We've watched teams burn six figures on engineers before anyone tested whether users actually wanted the product.
The AI prototype problem isn't a technology problem — it's a prioritization problem. Most teams try to build everything at once. We find the one riskiest assumption and validate it first. Fast.
Our Approach
How we run the sprint.
We compress the entire discovery-to-prototype loop into 4–6 weeks. Not through shortcuts — through sharp prioritization. Every week has a clear outcome.
Discovery & Problem Framing
Week 1–2We interview your users (or target users), map the current workflow, and identify the exact point where AI creates leverage. We leave this phase with one clear hypothesis to validate.
Architecture & Design
Week 2–3Product architecture and UX happen simultaneously. High-fidelity screens, AI model selection, data requirements — all settled before any production code is written.
Build Sprint
Week 3–5We build the prototype with real code and real AI — not a clickable mockup. Every technical decision is documented as we go so your team can take ownership immediately.
Validate & Handoff
Week 5–6Real users test the prototype. We synthesize findings into a clear build / pivot / stop recommendation, deliver the full codebase, and prepare investor-ready demo materials.
What You Receive
Every deliverable, accounted for.
Working AI prototype (production-quality code, not a mockup)
User testing report with clear synthesis
Technical architecture document
Investor-ready demo deck
Product roadmap recommendation
Full handoff documentation
Ideal For
Is this engagement right for you?
The AI Prototype Sprint works best in specific situations.
- Seed to Series B founders with an AI idea but no internal AI product team
- Enterprise innovation leads who need to validate before committing a full budget
- Product leaders who need to demo something real within a quarter
- Teams that have engineers but not the product and design experience to run this well
Not the right fit if…
If you already have a validated product with paying users and need to scale, that's our Enterprise Modernization engagement.
Not sure which engagement fits your situation? Book a 30-minute call and we'll tell you honestly.
Expected Outcomes
What success looks like.
4–6 weeks
from first call to working prototype
Real users
validate before you commit to a full build
Clear answer
build, pivot, or stop — no ambiguity
Ready to Build?
Let's build your intelligent product.
Book a 30-minute strategy call. We'll listen to your idea, challenge your assumptions, and tell you exactly how we'd approach building it — no sales pitch, no commitment.