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Free Lesson
Why technical excellence isn't enough for AI products
Part of The AI-Native Product Manager
45 min
Mar 16, 2026 1:00 PM
Virtual (Zoom)
In this video
What you'll learn
The three failure patterns technical teams miss
Learn why models fail under ambiguity and how to avoid "smart-sounding" but outdated, deterministic product thinking.
Develop a New Dimension of AI Product Sense
Go beyond architecture and benchmarks to steer AI products correctly, get value, and anticipate technical shortcomings.
Building Blocks: Workflows, MCP, and Subagents
Understand the core components of modern AI products through a strategic teardown of a high-level personal OS setup.
From Workflow to Skill: A Live Build Demo
Watch a live demo of capturing a day’s work and transforming it into a functional, repeatable AI skill.
Deploying Useful Skills with OpenClaw
Learn the technical setup for skills using OpenClaw to move past "cool demos" into building actually useful AI tools.
Why this topic matters
Technical excellence builds a demo, but AI Product Sense builds a business. In 2026, the gap between "working code" and "reliable product" is wider than ever. This session matters because we’re moving beyond simple chatbots into the era of agents, MCP, and complex workflows. If you can't steer a non-deterministic model or anticipate its failures, even the best architecture will fail your users.
You'll learn from
Dr. Marily Nika
Gen AI PM Lead @ Google | ex-Meta, Fellow @ Harvard | TED AI Speaker | 40u40
Aman Khan
Arize AI, Spotify, Cruise, and Apple
Tal Raviv
Riverside, Patreon, Wix, and Appsflyer
