Prachie Banthia

Cohort 1

Founding Cohort

Learn how to frame, decide, and defend AI product bets under real uncertainty.

Ex-VP Product AssemblyAI & YC founder

Google

AssemblyAI

Gopuff

Y Combinator

Sequoia Capital

YC Founder and former Product Exec at AssemblyAI, Gopuff

AI changes how product leaders are judged.Shipping is faster. Prototypes are cheaper. Demos are easier. What’s harder now is deciding what’s actually worth building and defending that decision when the system itself is nondeterministic.Most product leads feel this gap:<ul><li>Customer calls sound positive, but not decisive</li><li>ROI models feel fake, but leadership and investors still expect numbers</li><li>Feasibility shifts as models and costs change</li><li>You’re asked to project confidence without overstating certainty</li><li>A demo works once, fails the next time, and no one knows if that’s signal or noise</li></ul>As a result, teams drift in endless validation, overbuild impressive demos, or make decisions they can’t clearly explain later.This course exists to fix that.You’ll learn how to make high-stakes AI bets without false precision. You’ll learn how to turn unclear customer calls, shifting tech capabilities, and incomplete data into a clear go/no-go decision you can defend.You’ll leave with an exec-ready decision memo for a real AI bet and a repeatable way to make these calls again.In my experience across big tech and startups, this skill separates teams shipping AI slop from teams leading real AI strategy.

Lead AI product decisions without false precision

Frame a high-stakes AI product decision under uncertainty

Use qualitative evidence to change high-stakes decisions

Prevent decision drift after commitment as AI capabilities and costs change

Lead business models discussions for AI products without formal ownership

Senior PMs who ship AI features well and are stepping into owning and defending high-stakes AI product bets.

Product leaders in or preparing for executive-level Product roles that are now accountable for defending decisions in exec or board rooms.

Founders leading AI products who are moving from intuition-led bets to defensible, decision-driven strategy.

Validate & Size AI Product Bets

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

A practical framework to compare AI product bets

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

Three questions that turn customer calls to real validation

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

Learn directly from Prachie Banthia

Prachie Banthia

About Prachie

Courses

High-Stakes AI Product Decisions

Lightning Lessons

Validate & Size AI Product Bets