Free Lesson
How Product Leaders Evaluate AI Features
45 min
Jun 6, 2025 7:00 PM
What you'll learn
Understand What Makes an AI Feature Launch-Ready
Cut through vague signals and learn the key engineering factors product leaders must evaluate before signing off.
Use a 5-Point Rubric to Spot Risks Before Launch
Apply a clear framework across cost, latency, reasoning depth, fallback design, and infra constraints.
Ask Smarter Questions in Engineering Reviews
Get practical prompts and examples to guide model, infra, and integration decisions confidently.
Why this topic matters
Most AI features fail quietly, not because of bad ideas, but because product leaders missed key engineering red flags. This session teaches you what to look for, how to pressure-test launch readiness, and how to lead technical conversations that de-risk your roadmap.
You'll learn from
Sriram Natarajan
Engineering Director, Applied AI @ GEICO | Ex-Google
Previously at Google, AI Startup
