

Using AI to Go From Prototype to Production
You have a working prototype and you’re ready to ship it out. What comes next?
The path from a functional demo to a production-grade product is where most teams fail, especially in the age of AI, where prototypes come together faster, but taking them to production demands new rigor in data, reliability, and cost control.
This masterclass covers the technical and organizational gaps between a working prototype and production-grade software.
No theory. Just case studies, demos, and a framework from 20 years of shipping products that handle real traffic, real data, and real users.
What You Will Learn
Why Prototypes Stall: Identify the common failure points when moving from a demo to supporting real-world traffic, data, and users, including AI-specific pitfalls.
The Production-Ready Framework: Learn the systems that separate a project from a product, including instrumentation, user learning loops, and measurability, with AI readiness baked in.
Real-World Patterns: See demos and architectural examples from actual products that made the prototype-to-production journey.
Building the Right Team: Understand how to structure your team and allocate resources for the next phase of development, when to bring in AI/ML expertise and DevOps, and how to align incentives.
Speed with Control (AI): Where AI truly accelerates engineering (code, testing, scaffolding) and where you’ll need extra guardrails—evaluation, observability, versioning, and token/cost management.
Who Should Attend
This session is for Builders who have a working prototype and are stuck
Founders with validated prototypes ready to scale
Product Managers or Innovation Teams with experiments that are ready to become real products
Technical Leads responsible for production readiness
What You’ll Get
The Prototype to Production readiness guide and checklist to turn your project into a reliable, scalable product.
Led By
Rakesh Raju, CTO at 1Huddle, Founder of Codewalla. Two decades shipping and scaling software at Disney, Microsoft, RealNetworks, and venture-backed startups.