Mise
An AI-assisted system that enables cooking creators to translate inspiration into structured, actionable video production. Mise supports technical workflow, while preserving authorship and resisting creative homogenization.
I explored how independent cooking content creators move from inspiration to creation. While platforms like YouTube offer an abundance of recipes and references, creators often struggle with transforming what they see into something that feels original, actionable, and their own.
Mise proposes a system that supports creators in interpreting, transforming, and executing ideas rather than simply generating content. The final design integrates directly into the YouTube viewing experience via a lightweight overlay plugin, enabling creators to capture and annotate meaningful moments in videos in real time. Instead of passively saving content, creators can actively mark what they notice, such as techniques, visual styles, or storytelling elements, and receive structured insights that make these decisions visible.
These captured moments feed into a breakdown-and-transformation workflow, where creators can remix ingredients, adapt techniques, and build a personalized video plan. The system then generates a practical storyboard tailored to the creator’s kitchen, tools, and constraints, bridging the gap between inspiration and execution.
The design process involved reframing the problem from “a lack of ideas” to “a lack of interpretation,” supported by iterative prototyping and conceptual exploration of how AI can assist without overriding creative authorship. Miseultimately argues for AI as a thinking partner, supporting decision-making rather than replacing it.
