Pitch to Product · 2026-08-31 · 5 min
AI is a phenomenal design and visualization tool, but it can't tell you how to actually build and price your product. In this episode of the Pitch to Product Podcast, 52Launch's Peter Drakulich and Bobby Quintero break down why publicly disclosing your AI-generated designs can kill your patent eligibility, and why the "bill of materials" AI gives you is almost always wrong. We dig into the real cost multiplier nobody talks about: Turning a parts list into an actual working product means software, circuitry, licensing, and labor AI simply doesn't account for. AI can hand you the general knowledge and basic schematics. What it can't give you are the shortcuts: The specific vendor relationships, the engineering know-how, and the budget realities that come from decades of hands-on experience. Topics covered include: - Why open-sourcing your AI designs risks your patent rights - The real gap between a parts list and a manufacturable product - Why "AI doesn't know what it doesn't know" when it comes to sourcing and engineering - How founders can find the right questions to ask (and where AI hits its walls) Don't delay and start your journey with 52Launch today:
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