Everyone has an opinion about AI in product. Very few have actually built one.
In this webinar, Teresa Torres shares what happened when she built her first AI-powered product: not as a futurist, but as a practitioner applying continuous discovery in a space defined by uncertainty, fast iteration, and new failure modes.
This conversation cuts through recycled AI talking points to focus on the real work: learning fast, staying grounded in customer reality, and making principled product decisions when the technology is moving faster than the playbooks.
It’s a build story: what held up, what broke, and what Teresa would do differently heading into 2026. Don’t expect predictions and buzzwords, just reliable opinions earned the hard way.
What we covered:
How one of the most influential voices in product discovery approached her first AI build
What continuous discovery looks like when outcomes aren’t deterministic
How customer interviews change, and don’t, in an AI-first product
Where AI accelerated learning, and where it introduced new uncertainty
Teresa’s lessons from building in 2025 that product leaders should take forward into 2026
Meet our speakers
Teresa Torres is an internationally acclaimed author, speaker, and coach who teaches a structured and sustainable approach to continuous discovery. She’s coached hundreds of teams at companies of all sizes and industries and taught over 18,000 product people discovery skills through the Product Talk Academy. She’s the author of Continuous Discovery Habits and blogs at ProductTalk.org.
Teresa Torres
Spencer Cowley
As a product manager at airfocus by Lucid, Spencer Cowley is passionate about creating solutions that truly delight customers. He believes the key is a deep understanding of user workflows, gained through data, prototyping, and frequent interviews. Since joining Lucid in 2024, he has applied this approach to build powerful features that empower Agile teams in their planning and execution.
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