Why technical excellence isn't enough for AI products

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Why technical excellence isn't enough for AI products

Hosted by Dr. Marily Nika, Aman Khan, and Tal Raviv

5,081 students

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Learn why models fail under ambiguity and how to avoid "smart-sounding" but outdated, deterministic product thinking.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

AI PM Newsletter (200k+)

🔗 LinkedIn (130k+)

❌ Twitter

🎥 YouTube channel

Based in Silicon Valley, Dr. Marily Nika is an award-winning AI Product Management leader & one of the world's best AI educators, with 12+ years of experience at Google & Meta, with a PhD in Machine Learning. Featured in TechCrunch, executive Fellow at Harvard, TED AI Presenter.

Marily created the #1 AI Product Management Certification on Maven (over 30k students):

6-week AI Product Bootcamp & certification.

OpenClaw for PMs

✉️ maven@aiproduct.com

Reach out for corporate trainings and group/student discounts.

Aman Khan

Arize AI, Spotify, Cruise, and Apple

Aman is Head of Product at Arize AI, an AI Development platform used by companies like Uber, Duolingo, Reddit, Instacart, and Booking.com. He recently led a popular deeplearning.ai course on Evaluating AI Agents, and has been featured by Lenny's Newsletter to cover AI Product Management a number of times.

Tal Raviv

Riverside, Patreon, Wix, and Appsflyer

Hey 👋 I'm Tal. Over 20,000 product people have joined my live workshops on how to leverage AI for complex, innovative tasks at work.

I've taught PMs from Apple, Google, Amazon, Microsoft, Meta, and at Stanford University. I've been a guest on Lenny's podcast, and featured four times in Lenny's Newsletter.

Most recently, I was Riverside's first PM, leading an AI product used by Mark Zuckerberg, Michelle Obama, and Bill Gates.