Validate & Size AI Product Bets

Hosted by Prachie Banthia

151 students

In this video

What you'll learn

A practical framework to compare AI product bets

Learn the framework top product teams use to make decisions when market and technical risk are high.

Three questions that turn customer calls to real validation

Don't ask for "feedback." Learn the 3 specific questions that move customers from "that's cool" to "I'll use that"

A lightweight way to size upside without fake precision

Turn data into ROI & sizing that helps you compare bets and justify tradeoffs without false precision

Why this topic matters

PMs are now judged less on shipping and more on judgment. As AI increases engineering throughput, deciding (and proving) which bets are worth building has become a core leadership skill. You’ll leave this session with a repeatable way to validate demand, size upside, and confidently commit to and defend the most promising AI product bets.

You'll learn from

Prachie Banthia

YC Founder and former Product Exec at AssemblyAI, Gopuff

Prachie Banthia is an AI product executive and founder. She's made high-stakes AI product bets that led to:

being acquired for $195M at her first startup
getting fast-track promoted at Gopuff and Google
Making AssemblyAI a leader in voice AI startups
Her own startup raising over $2M from Y Combinator & others

AI has made building cheap, but judgment and confidence more valuable than ever. You’ll learn the frameworks Prachie use sto validate demand, size upside, and commit to the right AI product bets.

Previously at