Machine-readable exports: llms-full.txt, exports/index.json, for-ai
DDM is a discovery and design mapping tool for product teams using generative AI. It connects outcome-led discovery via an Opportunity Solution Tree, from a chosen outcome through opportunities grounded in research and feedback to solutions and experiments, with structured design specs and markdown export so shared evidence and requirements exist before prototyping. Built from consulting experience and the friction of AI-assisted design work.
A side project where a Negroni ingredient tool is the excuse to explore design details and systems. Negroni Atlas at negroniatlas.com is what came out of it: four flows for comparing gin, vermouth, and bitter by flavor profile. I designed and built it end-to-end in React (Lovable, Cursor), iterating on components and scope as I went.
A tool for generating, controlling, and reusing animated gradients without writing shader code. Three modes (Mesh, Warp, Particles) share one interface for color, motion, and export. Meshmallow powers the background of this portfolio site, cycling through a curated playlist of gradients on each visit. Built with React and three.js.
Designed the core interaction model and information architecture for Tre's first B2B self-service platform, serving business customers across Sweden and Denmark. MVP launched in 2025 after two years of iterative design and development.
Built a comprehensive FigJam reference covering applicable research methods, how each works, when to use each one, and how to combine them, leaving a junior design team with a shared framework they could apply independently. Also contributed to refining the Voyado Engage design system and delivered impact maps and wireframes for the Voyado.com redesign handoff to an external agency.