AI-Native Product Discovery with Codex Workshop (in-person)

AI makes it dramatically faster to build prototypes. But building faster does not mean discovering the right product faster. In this live, hands-on workshop, you'll learn an AI-native product discovery workflow for moving from a real customer problem to a focused experiment. Using Codex, you'll investigate workflows, challenge assumptions, explore competing hypotheses, build the smallest useful experiment, verify what works, and decide what deserves further investment. You will learn how to use AI agents to make better product decisions; this is not a “build an app with AI” workshop. Problem → Evidence → Hypotheses → Critical Assumption → Experiment → Verification → Learning → Decision What You'll Learn Participants will work through one practical discovery cycle using a real customer or internal workflow: Who Should Attend Designed for founders, product managers, AI/product engineers, designers, technical product leaders, and innovation teams. Coding experience is helpful but not required. Access to Codex is recommended. What to Bring Bring a laptop and one real customer or internal workflow you want to improve. Instructor Andrew Tsintsiruk https://www.linkedin.com/in/tsintsiruk/ is Founder & CEO of Rohic Inc., Managing Partner at Data Strategy Lab, and an AI workshop instructor with The Upskilling Labs. He has more than 15 years of experience across technology, product development, data strategy, customer discovery, and AI-enabled product delivery. Andrew builds AI-native products and agentic workflows with a focus on multi-agent orchestration, tool calling, retrieval-augmented generation (RAG), evaluation, and human-in-the-loop controls. Format & Materials Format: Live, hands-on workshopDuration: 1.5 hoursMaterials included: AI-Native Discovery Notebook, hypothesis templates, experiment canvas, verification checklist, defensibility framework, Codex workflow prompts, and decision rubric. Bring a real workflow. Leave with evidence, an experiment, and a sharper product decision.