AI has made every role on the product team faster—but speed alone hasn’t solved the harder problem of deciding what to build. When PMs, designers, and engineers each use disconnected AI tools, teams generate more output but less shared direction, leading to fragmentation and rework. In this talk, we'll explore how to preserve idea intent across surfaces, tools, and roles so teams don’t just move faster, but move together.

Key takeaways:


• Understand why design intent is the differentiator. Discover how speed without shared direction creates more output but less alignment—and why preserving design intent across every context switch separates great teams from fast ones.
• Keep context alive from PRD to prototype. Learn how Figma Make and connectors for Jira and Confluence move ideas from prompt to prototype —without losing the thread at every handoff.
• Close the loop between design and code. Explore how the Figma MCP server brings design context—components, tokens, structure—directly into engineering workflows, so intent carries all the way to production and back to the canvas.

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