AI Builder Week

Rikki Singh and Ryan Ferguson from Twilio will demo Ola, an agent-native communication channel that gives users a single surface to communicate with their agents, set boundaries on what they can do, and maintain visibility into the actions they took.

Samuel builds three things live on stage that every PM needs: a clickable prototype that replaces your next PRD, an internal dashboard connected to your team's tools, and a branded exportable slide deck. You'll walk away with a repeatable five-step workflow, three prompts you can copy, and a clear answer to what you should build next.

Join Prittam as he breaks down real-world pricing strategies, shares lessons from leading AI companies, and builds a monetization setup designed to evolve alongside your product, customers, and AI costs.

Axel shares how he uses Dia, Rovo, and Cursor to help product teams make deliberate choices about where AI earns its place and where it just creates more work. You'll leave with the skill/agent distinction as a practical mental model, real workflows for planning, producing, and measuring GTM work, and something concrete to try tomorrow.

See how cross-functional product teams use Miro’s AI workflows to think, plan, and build together on one shared canvas, where the teams’ own work becomes the prompt. In a live demo, watch multiplayer workflows turn scattered inputs into usable product artifacts in minutes, so individual AI speed finally adds up to organizational impact.

Watch Ben demo custom Cursor automations that let his team build backwards from a real codebase instead of specs, compressing the validation loop to ship in days rather than months.

Sun and Leigh walk through a real product validation use case, using AI-powered research to test new experiences, uncover usability issues, and build confidence before launch. They'll also take research questions live from the audience and run several of them as real studies during the session.

Explore the tactical product frameworks and user experience patterns required to transition AI from a black-box novelty into a dependable tool, focusing on transparent system behaviors, human-in-the-loop oversight, and consistent outputs that earn long-term user confidence.

In this session, Amy takes you inside Slackbot, Slack's AI teammate. Any AI can generate an answer. The harder problem is building one that actually knows your work, your team, and the systems you already live in.

Most teams use AI to build faster. Fewer use it to learn faster. This live session walks through a practical, hands-on workflow for integrating user research into AI-speed development so that validation with real customers becomes a natural step in your process rather than a separate workstream. You'll leave with immediately applicable techniques.

AI is compressing product cycles from months to days - but shipping faster only pays off if you can tell what's actually working. Join us to see how modern PMs are using Datadog to move from idea to launch with confidence: instrument new features in minutes, run experiments without waiting on engineering, and see real usage data the moment code ships. Walk away with a practical playbook for building, shipping, and validating product bets at AI speed.

In this hands-on session, Doug builds a PM-to-engineering workflow live in Atono. You'll learn how to ground AI in real product context, turn a rough draft into a clear story, and confidently decide when it's ready to hand off.