Maxime Rabot

Visual Designer, Design System Expert, Educator & AI passionate

AI for designers, without losing the craft

Move past typing wishes into a box. Learn prompt structure that gets outputs you can actually use.

How to prompt like a designer

A practitioner's tour of Claude, Skills, and the AI tools shaping how designers actually work today.

Claude, Skills, and the AI design stack worth knowing

A working map of where AI belongs across the design process — research, systems, prototyping, handoff.

The new design process, end to end

Go from trial-and-error prompting to systematic AI-assisted building. Ship functional projects with a workflow you can use on every project

AI Design Leader |  x-Uber/Google/Amazon

Stanford University

Amazon

Google

Uber

Rupa Chaturvedi

AI Design Leader | AI enablement for UX orgs | ex-Uber, Google, Amazon, Stanford

Cohort 1

Cohort 2

The job posting asks for a designer who can research, prototype, code, and ship. One role, three people's worth of expectations. Design teams got smaller. The work did not. And now every product roadmap includes AI features that need to be designed by people who were never trained to design for probabilistic systems.The pressure is coming from two directions. Inside your organization, you are expected to move faster with fewer resources while somehow incorporating AI tools into workflows no one has figured out yet. Outside, the profession itself is shifting. AI generates interfaces, writes copy, produces prototypes in minutes. The execution work that built your career is compressing. The question is no longer whether designers need to adapt—it is whether you are building the skills that will matter in two years.Claude Code for Designers answers both pressures at once. You move faster because you can build functional prototypes yourself. You stay relevant because directing AI to build is the new execution skill. You leave with a deployed project and a workflow system you can use on anything that comes next.

Master Claude Code. Build functional projects. Develop a reusable workflow.

An AI-First Build Workflow: From project scoping through deployment

A Reusable Workflow System: Templates, skills, prompt libraries, MCP configs

A Deployed Application: Ship a functional project from your own idea

Portfolio artifacts and fluency to discuss AI-assisted design in interviews

Design-to-Code Translation: Turn your design system into functional components

This course assumes working knowledge of design systems, user research, and product workflows.

5+ years of professional design experience

Experience using AI assistants in your workflow. The course moves quickly and assumes baseline comfort.

Familiarity with AI tools (Claude, ChatGPT, Copilot)

Product Designers. You design in Figma and wait on engineering. You want to build and ship functional prototypes yourself.

Design Leaders. Your team needs to move faster and integrate AI workflows. You want firsthand fluency before rolling this out.

MXDAI Alumni. You have the strategic frameworks for AI design. Now you want the execution skill to match.

Working with code as the raw material of software will change how you see design and what you can do with it.

Design Teacher

General Assembly

Ironhack

Edenspiekermann

BuzzFeed

Cantilever Web Design & Development

Nevan Scott

Designer/developer since before it was uncool

This is the pilot. Things will be rough, and will change. We need your feedback to make it better!

Cohort 3

Making software is supposed to be fun! And this six weeks is packed with the most fun I’ve had in my 15-year teaching career.LLM-assisted coding tools can put you in the driver’s seat, working with the real materials of your craft. I’m seeing designers do things I didn’t think I’d ever get to see designers do.For as long as I can remember, product designers have been pushed away from code. Most designers settled this question for themselves long ago—code is not for me. Now is a great time to reconsider that decision. You can have a relationship with what feels like real work without spending years mastering syntactical minutiae.Working on a design with code is an act of shaping: you’re shaping something out of the raw materials yourself. And as you shape it, you can actually interact with it, get the feel of it. This means you can work on a user interface the way it really works.As designers, we enjoy making things. Working with code is a fantastic opportunity to feel connected to the thing you’re making.Read on to find out more about the course, but keep in mind that the most important things that happen in my classroom <a target="_blank" rel="noopener noreferrer nofollow" href="https://buttonschool.com/classroom/">have nothing to do with the syllabus</a>.

Learn how to use AI coding tools to build your own designs

Take the driver’s seat when working with LLM coding tools

Read code to understand the shape of what you’re making

Form a strong mental model of the architecture of what you’re building

Any amount of knowledge will work in your favor, but the course is made for designers with little-to-no coding skills.

No previous coding experience is required

The course leans into understanding—not just generating—so a desire to go beyond surface-level outputs will help you get the most out of it.

Curiosity about how things work under the hood

You should be comfortable making product decisions and thinking beyond individual screens.

Experience designing real-world products

Product designers with solid design experience but little (or zero) coding knowledge who want to build working apps of their own creation.

Product designers comfortable in tools like Figma who want to understand how web apps work and are ready to learn new tools and thinking.

Product designers who want to cut through the noise by learning how to use AI coding tools with structure, intention and control.

Build a complete product with AI: From finding the right opportunity to an on-brand product to defending your decisions under real pressure.

Product, Design Leader | Business Design

Anthropic

Canva

DoorDash

Atlassian

Jacalin Ding

Product Design Leader | 2x Business Founder | Coached 10,000+ Designers

AI products serving 1M+ businesses

MYOB

Karbon

Blackbird

Simon Hilton

AI Product Director | 4 x Author of The Product Leader Series 

Most AI prototypes die in their first stakeholder meeting. Not because they look bad. Because nobody could answer: What's the evidence? What's the business impact? Why this solution?👉 You're a designer who builds great work but can't prove it drives business outcomes or stays on brand with your design system 👉 You're a PM who wants to validate and prototype fast without shipping generic AI output 👉 You're a founder who needs to move from idea to defensible product before the window closes95% of AI-powered products fail to create measurable business impact (MIT)This course teaches you to answer all three questions and build the prototype at the same time, so you can: ✔️ Find the right business opportunity ✔️ Build an on-brand prototype with AI ✔️ Sell it with a narrative that survives hard business questionsYou walk out with outcome driven, re-usable workflows to drive real value right away.Get to the outcome faster with less noise. No shiny object tooling. We focus on a few good tools to build scalable workflows. This is the course for you if you want: less noise, more quality outcomes, proven workflows to support your strategy.Build faster. Decide smarter. Ship with intent.

Build fast. Decide smart.
40% off code: KICKOFF

Find high-impact opportunities backed by evidence, not guesswork

Turn opportunities into product requirements tied to business value

Build on-brand prototypes that aligns Design System, not AI-generic

Sell your product decisions with a narrative that earns buy-in

Build scalable AI workflows with minimal tools and zero noise

Claude Pro Account

Not afraid to interact with Claude Code Interface

Available 4-5 hours/week during course

Designers (Product, Brand) Senior and Leads struggle to prove the work drives business outcomes or survives stakeholder scrutiny

Product managers Prototype and validate ideas fast without shipping generic AI output that can't survive a business case review

Founders and technical builders Need to move from idea to defensible product fast -grounded in evidence and connected to real business value

Become the designer who can design, build, and ship real AI products

AI Director ·  Founder (one exit) 

Vodafone

Oblong Inc. NASDAQ: $OBLG

Elisava

Germán León

Founder with areal AI product exit, Director of the world's best Human AI Master

In love with Ai Cohort 09

Most designers today are still doing the same thing: designing screens, writing specs, and waiting for developers to ship.Meanwhile, a new type of designer is emerging.Designers who can take an idea and turn it into a real product, with AI.That’s the gap this course solves.You don’t need another tutorial on prompts or tools. You need a way to connect design, AI, and execution into something real.In this course, you will go from idea to a live product people can use.You will research real users, design the experience, build it with AI, connect a database, and launch it with a real go-to-market system.No slides. No fake projects. No waiting.By the end of the 8 weeks, you will have:<ul><li>a live AI product running online</li><li>real users interacting with it</li><li>a portfolio case study that shows what you can actually build</li><li>and a new positioning as a designer who can ship, not just design</li></ul>This is what used to require a full team and months of work. Now you do it yourself.

Design with Claude, build, and launch a real AI product in 8 weeks

Build and launch a real AI product from scratch

Turn user insight into product decisions

Design and generate full UX with AI

Turn your product into a real, usable experience

Automate product testing with AI agents

Launch and grow your product with AI

UX, UI, and Product Designers who want to go beyond designing screens and start building, launching, and owning real AI products end-to-end.

Designers who want to become entrepreneurs and use AI to build, launch, and scale products with real users, traction, and measurable impact.

UX Technologists and builders who want to expand into AI product design and create complete systems with real functionality, data, and users.