What we learn designing products with AI: design, accessibility, regulation. Written by the team, based on our projects.
Collective · 20 October 2026 · 6 min
It’s the question we get asked most, especially by IT consultancies and business managers: “what if you’re all on assignment the day I need you?” The answer lies in how the collective is built: a core team of five leads, surrounded by a community of expert freelancers we know, keep track of and bring together regularly.
Method · 20 October 2026 · 7 min
Every week brings a new model, a new tool, a new rule. Reading everything is impossible, ignoring everything is dangerous. Our answer comes down to four steps: sort, test, share, decide. Here’s how it works in practice within the collective.
Method · 20 October 2026 · 8 min
We’re often asked “what do you work with?” The honest answer: whatever the client’s team can maintain after we leave. But from one engagement to the next, certain tools keep coming back, because they shorten the distance between the mockup and the shipped product. Here they are, step by step.
Regulation · 19 October 2026 · 11 min
Since 2 August 2026, much of the AI Act has applied, including Article 50 on transparency. It’s the article that affects the most products, because it isn’t limited to “high-risk” AI: it covers your support chatbot, your writing assistant, your synthetic voice. And it plays out almost entirely in the interface.
Product design · 19 October 2026 · 10 min
Most AI features don’t die because the model gets things wrong. They die because users don’t know when it gets things wrong, and end up double-checking everything, or ignoring everything. The problem isn’t in the model: it’s in the screen.
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