The Multi-Product Problem With AI Agents #productdesign

28 Apr 2026 · 1 min

Watch on YouTube

0:39

In this excerpt, the speaker highlights that the language and conventions of a design system are typically specific to a single organization or team. When an AI agent is confined to a single product, it can be guided to stay within the brand standards and component APIs defined by that design system. However, as the organization expands to include multiple teams and products, maintaining the agent’s alignment with the design system becomes increasingly challenging, leading to potential inconsistencies across the brand.

Chapters

the language of your design system is specific to your organization or to your team. And it especially becomes an issue when you have multiple teams within the same organization. If you think about a single team working on a singular product, you can sort of corral your agent to stay within the bounds of your brand standard or the language of your design system or some of the API of the components that you've created. That represent the design system, you can keep it possibly on the rails, possibly within a single product. But if you start to— it within the same org, again, if you have multiple products, it just becomes very difficult.