Learn directly from Adam M. Root
What you'll learn
Why most AI products fail after launch
Understand why AI demos impress but fail in real workflows, and what separates adoption from abandonment.
How to design AI products users actually adopt
Learn the System of Action framework to design AI features that fit naturally into real user workflows.
The 7-question test to validate your AI product idea
Use a simple test to determine if your AI product will drive adoption or quietly fail after launch.
Why this topic matters
AI has dramatically lowered the cost of building software. But it has not lowered the cost of building a product people actually use. Many AI products impress in demos but fail after launch because they are designed around what the model can do instead of the user workflow. In this session you will learn how to design AI systems of action that drive real adoption.
You'll learn from
Adam M. Root
Co-founder of SocialCentiv, $40M exit.
Scaled to $7M ARR, $17M raised, 72-person team.
VP Product at FieldPulse: grew SaaS $20K→$400K MRR.
VP Product at Toptal: delivered $4B annual savings at National Grid and closed $20M Gates Foundation deal.
VP Product & UX at Neighborly: AI ops for $5B platform, cutting inspections 33% and boosting volume 49% across 242 franchises.
Earlier roles include Real Geeks ($7M→$20M ARR), Zen Media (1.4B+ reach campaign, Gold Addy), and Tricent Capital (200% ROI).
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