House of Maestro is a studio and an academy in Berlin. It's where we teach what we've learned about design — and where we keep figuring out what AI changes about the work.
Join our next in-person Workshop in Berlin | May 29, 2026 | 12 participants
Four ways to learn here. Pick the one that fits the week you're having.
Live, sixty minutes, every month. A new topic each time. Replays go to subscribers within a day.
Self-paced programs you keep. Lifetime access, structured modules, and the kind of brief that makes you finish them.
One to two days online or in person, in Berlin. Small cohorts, real work shipped by the end, and a room you'll want to come back to.
Direct work, with me. Coaching for solo designers finding their way through AI, and small programs for in-house teams doing the same.
“Perfection is achieved not when there is nothing more to add, but when there is nothing left to take away.”
Walk in using AI occasionally, unsure what's hype and what's useful. Walk out with a working AI-augmented design process — yours to keep, refine, and use Monday morning. In one day.
In this session, we will talks about design fundamentals. What is good design, Typography, Colors, Layout, Grids & Spacing, Design Principles & UX Laws.
Weekly notes on design, AI, and the craft of doing both well. Written from a working practice, not a content calendar.
Files, kits, and small books we've made along the way. Bought once, yours for good.
Download our presentation as PDF based on the course "AI for dsigners, without losing the craft" on Maven.
Get the presentation
Learn best Figma features and design system best practices. Design and build with design system thinking in mind.
Get the resources
Download our presentation as PDF based on the course "Design System + AI" on Maven.
Get the presentationDirect work, when the brief calls for it. Coaching for solo designers, programs for in-house teams — both selective, both by conversation first.
For designers building a practice on their own — and wanting another pair of eyes on the work.
For in-house teams figuring out what AI changes in their work — and occasionally, for studio projects when the fit is right.