There's no "A" or "I" in "Product Development," but every product team is trying to figure out where AI fits. For those who know how to use it, AI will tackle complex problems that have traditionally bogged down Product Ops. We'll demystify AI with practical strategies that work now — not someday. You'll see how AI transforms feedback synthesis, streamlines documentation, and enhances decision-making across your product lifecycle. Whether skeptic or believer, you'll leave with specific suggestions to implement in your workflows and the confidence to close the gap between AI's potential and your team's reality. Key Takeaways: 1. AI Mythbusting: AI can do a lot, but it’s not good at everything. Learn where it’s excelling and what to avoid (for now) when it comes to product dev use cases. 2. Prompting Tricks: Get specific prompt suggestions for leveling up your AI usage and make it really easy for your PMs, designers and engineers to benefit. 3. Synthesizing Feedback: See how AI can help change your user research and roadmap development process by bringing customer insights to the forefront. 4. Workflows Roadmap: Learn how to phase-in AI across multiple workflows and development cycles in product operations.