In this episode of Product Founder, host Amir Rezaei interviews Tal Raviv, GEN AI Product Manager & former Lead PM at Riverside, to explore how artificial intelligence is reshaping the role of product managers. Tal dives into how AI is moving beyond automation and becoming a creative partner in product development influencing everything from user research to team productivity.

Why PMs Should Build AI Agents:
Tal emphasizes the growing expectation for product managers to understand and even build AI agents themselves. These tools, he argues, are not just technical experiments but critical assets in improving daily workflows. From summarizing meetings to automating admin tasks, AI agents free up time for deeper strategy and user-focused work.

Evaluating AI Tools the Right Way:
The conversation also touches on a practical framework for evaluating AI platforms. Tal shares how PMs can use large language models (LLMs) to compare tool documentation not marketing material and identify the best-fit tools based on real use-case implementation. This method is helping PMs cut through hype and make smarter platform choices.

Synthetic Users and Future Product Research:
Tal and Amir also discuss the emerging role of synthetic users AI-driven personas that can simulate user behavior and feedback. These tools are becoming powerful complements to traditional research, offering early signals before real users even touch the product. Combined with thoughtful automation, they enable faster iteration and sharper decisions.

Building Skills Beyond Tools:
The episode highlights that while AI tools are powerful, the true unlock comes from foundational skills. Communication, prioritization, and curiosity still form the core of product management. Tal outlines why these skills are critical in making AI solutions work well in real-world teams and why building a strong productivity baseline is key to long-term success.

Empowering PMs Through Education:
To support the next generation of product leaders, Tal has launched a course focused on helping PMs apply AI in practical ways. Covering natural language processing, task automation, and decision frameworks, the course reflects his mission to turn theory into hands-on experience.