Staging environment
Free Lesson

Build Your First Simulation Environment for Evals & RL

Hosted by Aman Khan and Tal Raviv

Fri, Sep 25, 2026

4:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

Invite your network

Go deeper with a course

Featured in Lenny’s List
Build AI Product Sense
Aman Khan and Tal Raviv
View syllabus

What you'll learn

Understand What an AI Simulation Environment Is

See how tasks, tools, state, and scoring become a reusable world for evals and reinforcement learning.

Learn from Bubbles, Tal’s Claude-Powered Robot

Use its spatial failures and self-written memories to see why agents need explicit tasks, traces, and grading.

Build a Simulation Environment Live

Turn a real task into tools, test cases, and a grader you can reuse for evals or RL.

Why this topic matters

Better models alone don’t produce reliable agents—the environment determines what you can observe, evaluate, train, and trust. Aman and Tal will unpack tasks, tools, state, and rewards through Bubbles, the PiCar-X robot Tal gave to Claude. They’ll use its spatial-reasoning failures and self-written memories to show why evals need repeatable simulations, then build one live.

You'll learn from

Aman Khan

AI Product leader at Arize AI, Spotify, Cruise, Zipline, 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

Creator of Bubbles; Gen AI PM; writes Build AI Product Sense

Tal is the creator of Bubbles, a PiCar-X robot he gave to Claude using camera images and text tool calls. He writes Build AI Product Sense and has spent 15+ years as a hands-on product manager and technical founder, including as the first PM at Riverside. He teaches through real builds, failure traces, and practical evals.

See all products from Aman

Sign up to join this lesson

By continuing, you agree to Maven's Terms and Privacy Policy.