Leveraging AI 274 | Stop Building AI Demos: How to Build Production-Grade AI Solutions with Joanna Stoffregen
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Mar 10, 2026 Joanna Stoffregen, product manager and founder focused on shipping production-grade AI products. She walks through the gap between flashy prototypes and maintainable systems. Short, practical steps cover design tokens, Storybook components, Figma-to-code workflows, AI-enabled IDEs, PRD-driven agents, and refactoring for scale.
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Execution Discipline Now Beats Model Access
- The limiting factors for companies in the AI era are ideas, prioritization, and high-quality requirements documentation.
- Isar Meitis argues execution discipline (great requirements) is now the bottleneck, not access to AI models, for scaling knowledge-work businesses.
Start With Design Tokens And Storybook
- Build a design system and component library before coding full pages to avoid unmaintainable spaghetti code.
- Joanna recommends extracting design tokens and documenting components in Storybook so future engineers can reuse consistent building blocks.
Capture Inspiration And All Component States
- Collect UI inspiration and all component states (default, hover, selected, bulk-edit) before generating layouts.
- Joanna uses Dribbble and Mobbin screenshots imported into Figma to specify exact table, navigation, and state behavior for the product.