85% of AI products fail.

Not because the technology doesn't work. Not because the teams aren't talented.

They fail because of how we build them.

Here's what's killing AI projects:

While your team debates Figma wireframes and hands off requirements through endless meetings, your AI project is dying in a Dev-Star silo.

The pattern is painfully predictable:

• Week 1-4: PM writes text requirements (in isolation)

• Week 5-9: UX designs mockups (without seeing AI behavior)

• Week 10-36: Dev builds in silo (nobody sees it until "done")

• Week 37: Launch

• Week 38: Crickets. Nobody wants it.

By the time engineering ships, nobody recognizes what you originally envisioned.

Sound familiar?

The Snowball Design Sprint fixes this

I've spent years developing a methodology that replaces the broken 3-in-a-box handoff model with something that actually works for AI products.

Here's how it's different:

• ✅ Real data from day one (not lorem ipsum)

• ✅ Working AI prototypes, not static mockups

• ✅ Customer validation before production investment

• ✅ Cross-functional teams building together, not handing off

The difference? Time and money.

You validate product-market fit in weeks instead of discovering failure after 6 months and $2M.

I've codified the complete framework—from problem framing (Storyboard, Digital Twin, Value Matrix) through rapid iteration (Paper Wireframes → RAG → Vibe Coding) to validated launch.

Here's the complete Snowball Design Sprint framework👇

🎯 I'm talking with product leadership teams who are ready to implement this methodology at scale.

If your company is serious about escaping the 85% failure rate and you need someone to build/lead AI product orgs that actually ship what customers want to buy, let's connect.