How PMs 10× Their Role with AI: Part 2

Stop spending weeks validating ideas and months building prototypes that miss the mark. In this 60-minute live demo, Dean Peters and Tom Evans show you four practical AI techniques that compress the build-measure-learn cycle from weeks to days. You’ll see live demonstrations of context engineering, synthetic evals, agentic workflow automation, and vibe coding. No theory, just working examples you can replicate Monday morning. 

What You Will Learn: 

• Context Engineering: Build AI workspaces with persistent domain knowledge. Stop explaining the same context every session. Work as a team instead of in individual chatbot silos. Get outputs that actually understand your product, your users, your constraints. 

• Synthetic Evals: Generate Acceptance Criteria and Test cases, then automate quality checks before you have real user data. See where your product breaks before building. 

• Agentic Workflows: Automate repetitive research and draft sprint backlogs. Get competitive intelligence and user insights gathered automatically. Your backlog writes itself while you think strategically. 

• Vibe Coding: Vibe code touch-and-feel, proof-of-life prototypes in minutes instead of days using Gemini and Claude Code. Turn concepts into clickable demos fast enough to test and iterate in the same day.