AI Builder Week

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.

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Prittam breaks down why pricing AI products is fundamentally different from SaaS, where every tool call is a cost of goods sold and consumption, not seats, is the value driver. He walks the pricing-unit ladder from raw tokens to credits to outcomes, with real examples from Lovable, Code Rabbit, and Fin, plus a live demo modeling a multi-product AI company.

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Axel walks through the skill-versus-agent distinction as a practical mental model, then demos his real workflows across Dia, Rovo, and Cursor, including a morning brief that focuses his day and a webinar-performance skill he turned into an on-demand Slack agent. You'll leave knowing where AI actually earns its place in your GTM work, and where it just creates more work.

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Drawing on a Forrester study of 518 leaders, Damir shows why AI amplifies team misalignment: creation has scaled, but decision-making hasn't. He builds two flows live on the agentic canvas, one that turns messy feedback into a prioritized backlog, strategy doc, and prototype variants, and one that pulls scattered Slack updates into a single synthesized status.

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Ben makes the case for building backwards, starting from working code instead of a spec, and argues it’s the purest expression of the Agile Manifesto finally realized. He shares how Webflow’s team operationalized it over six-plus months: a rewritten PM career ladder, a weekly company-wide Builder Day, and PRDs generated at the end from an agent reading the full commit history.

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Sun and Leigh show how to stop choosing between the speed of a survey and the depth of an interview, walking through Research Flow and its AI moderator that asks respondents follow-up questions in real time. They build a study live and watch responses climb past 37 completes in minutes, with insights, sentiment, and quotes updating as they talk.

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Stephanie builds a CFO compliance co-pilot live in Cursor for a persona where, in her words, if the product isn't 100% right it's 100% wrong. Rather than making the model smarter, she shows how to make it trustworthy: grounding answers in a policy file, forcing citations, adding a confidence score, and routing anything under 70% to human review.

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