A gentle intro to AI Evals and product quality for AI PMs

How do we know this LLM feature is actually ready for production?

If you’re an AI Product Manager, this is likely the question keeping you up at night. Unlike traditional software, AI products are non-deterministic. Shipping a prompt or a fine-tuned model into the wild without robust evaluations is like launching a rocket and just hoping it hits orbit.

But building an evaluation framework shouldn't feel overwhelming.
Join me this Friday for a free, high-impact lightning lesson designed specifically for AI PMs who want to take control of their product quality.

What we’ll cover in this session:
- The Reality of AI Quality: Why traditional QA fails for generative AI and LLM-powered applications.
- AI Evals 101: A breakdown of what "evals" actually are (and how to think about them as a PM).
- Actionable Frameworks: How to define quality metrics and build an evaluation strategy that aligns with your user experience.
- Collaboration: How to effectively partner with engineering to build trustworthy AI experiences.

No dense academic jargon—just practical, real-world concepts you can immediately apply to your product development lifecycle.

🗓️ When: This Friday 5/29
💵 Cost: Free
📍 Where: Live on Maven

Seats for these lightning sessions fill up fast. Secure your spot today and start shipping AI products with confidence.

PLEASE REGISTER ON MAVEN:
A gentle intro to AI Evals and product quality for AI PMs

If you have any questions feel free to reach out directly!

Thank you,
George Zoto

#AIPM #ProductManagement #ArtificialIntelligence #AIEvals #LLMs #ProductQuality #TechLearning