do I need experience working with a design system?

yes — the intensive is built around the assumption that you're working with a real design system and will bring access to its documentation to class. basic familiarity with AI tools (ChatGPT, Claude, or others) is also required — the course doesn't start from zero.

I don't have my own design system, is this intensive right for me?

the exercises are built around your specific case — auditing your own system, translating your own product request into a context pack. without access to a real system, part of the practice will be difficult to complete.

will the intensive be recorded?

yes, it will be recorded — you'll be able to review the materials if you miss something or want to revisit it.

do I need to know how to write prompts for AI?

no, no special preparation is needed — we cover how to build context and prompts specifically for design system tasks during the intensive.

will there be homework or a final project?

there's no formal project after the intensive, but each of the three thematic blocks includes a hands-on exercise based on your own case — with an audit of your system, building a context pack, and a draft safe-to-try proposal.

what will I walk away with?

four ready-made artifacts: a draft playbook for integrating AI into design system work, a starter set of audit prompts and an evaluation checklist, a draft safe-to-try experiment proposal, and a basic rollout plan that accounts for governance.

will there be a certificate?

yes, you'll receive a certificate upon completing the intensive.

will I be able to ask the instructor questions?

yes — Q&A is built in throughout the entire intensive, not just at the end, and every hands-on exercise is followed by group discussion.

is this intensive suitable for a team lead or manager who doesn't work on the design system day-to-day?

if you're responsible for rolling out AI into your team's workflow and have access to the system's documentation — yes, and the rollout and governance block will be especially relevant for you.

Interface Design

AI Lab

workshop

ENGLISH

AI & Design Systems with Brad Frost

experience	experience working with design systems + basic familiarity with AI tools
start	19.10.2026
group	30
duration	4 days
instructor	Brad Frost
price	380 EUR
requirements	your design system and preferred AI and design/dev tools

build an AI implementation plan for your design system — with audit prompts, an effectiveness-evaluation checklist, and a plan for your team

experience	experience working with design systems + basic familiarity with AI tools
start	19.10.2026
group	30
duration	4 days
instructor	Brad Frost
price	380 EUR
requirements	your design system and preferred AI and design/dev tools

who isthis intensive for

AI can speed up design system work, but without a methodology and generation rules, the cost is components that break the rules and hours spent fixing them. So how do you integrate tools the market hasn't yet vetted and turned into a must-have?

This intensive is for people responsible for a design system who want to learn how to audit it for duplicates and out-of-sync tokens, build AI prompts that follow the system's rules, and safely evaluate new approaches like generative UI.

you run a design system with duplicates, out-of-sync tokens, and outdated documentation

you'll learn how to run a design system audit and find the three most painful issues that need fixing. you'll get a checklist and prompts you can apply right away.

instead of saving time, AI-generated components take hours of rework

you'll learn how to give AI your design system's context through prompts, so the resulting components follow your rules and guidelines.

you see the potential of generative UI but are afraid of losing control over the system

you'll figure out which agent-driven approaches to UI already work and which are still experimental. you'll put together a plan for safely testing the new practice within your team.

you're responsible for your company's design system and are planning to roll out AI into your team's workflow

you'll determine which maturity level to start your AI rollout from and which metrics to track going forward. you'll get a plan tailored to your team's current state.

skills
you'll master

hard skills

design system audit: identifying duplicate components, out-of-sync tokens, and documentation gaps
component inventory and gap analysis of your existing design system library
token mapping — translating and aligning tokens across platforms and systems
updating design system documentation in a format that's clear to both your team and AI models
building context packs and prompts for AI that respect your design system's constraints
building a context-based workflow across the entire product cycle: research, synthesis, concepting, design, build, test, feedback
checking AI-generated solutions for compliance with system rules
evaluating generative UI and agent-driven approaches against security, privacy, and permission-level criteria
drafting a safe-to-try proposal for testing a new AI practice within your team
building an AI rollout plan based on your design system's maturity level and a re-evaluation metrics cycle

soft skills

deciding which AI practices to prioritize for rollout in your current work cycle
building AI governance for your design system that doesn't turn into unnecessary bureaucracy
moving from one-off fixes to AI-generated components toward a systemic approach to working with them
aligning permission boundaries for AI tool usage with adjacent teams

software skills

Figma –
interface design, prototyping, and real-time team collaboration
Claude –
AI assistant for text creation, data analysis, and workflow optimization

we will help you choose
the right course

no extra recommendations, just what you need

write via Telegram

program

01. Day 1: AI & Design Systems Core Concepts: core principles, benefits, and challenges of design systems
opportunities and limitations of AI in design and development
how AI and design systems complement each other
key concepts: LLMs, agents, subagents, MCPs, and skills
an overview of AI tools and working with Figma and codebases
02. Day 2: Make better design systems with AI: auditing your design system: 10 checks across five quality criteria
five qualities of a healthy system: Complete, Sound, Synchronized, Extensible, and AI-Ready
identifying and fixing design system issues with AI
generating new components and variants
preparing documentation and infrastructure for AI
deterministic testing and quality evaluations with AI agents
03. Day 3: Make better products with AI & design systems: the product process with AI: from discovery and strategy to development
inspecting products using real product screens
creating wireframes, mockups, and design variations with AI
prototyping with and without a design system
building products on design system foundations
Steel Curtain: tests and code checks before production
establishing a feedback loop between products and design systems
04. Day 4: Inventing the future and making it stick: AI agents as users of digital products and services
Generative UI: interfaces composed on the fly using design system components
hyperpersonalization of the user experience
communicating the value of AI and design systems within your organization
navigating skepticism, tool access, and security concerns
experiments, pilots, and planning AI adoption within your team
governance for human and AI agent collaboration, and system resilience

clear your schedule,because the intensive will include:4 days of sessions, 8 blocks with demos and Q&A, 3 exercises on your own design system, and 4 ready-to-use artifacts for after the course

instructor
he'll be near

curator,program author

Brad Frost

Web designer and developer, speaker, educator, and consultant from Pittsburgh (USA).

Creator of the Atomic Design methodology, which has become the foundation for building and maintaining design systems for teams around the world. He runs his own online courses on design systems, design tokens, front-end development, and team collaboration, and consults companies that are implementing or scaling design systems.

His projects include the podcast Wake Up Excited, where he talks with inspiring people about living a creative and fulfilling life, as well as Pattern Lab — a tool for building component libraries based on atomic design principles, used by teams worldwide. He's also involved in music, runs several smaller creative projects, and regularly speaks at conferences for designers and developers.

philosophy of learning

Practicult

→ We have a cult of practice: to get results, you do homework under personal curator mentorship and work on course projects. → this is not theory or watching video lectures. This is developing real skills and portfolio according to the principle «everything as in real life».

Feedback

→ At Projector it's ok to make mistakes. You won't get grades for it, but will be advised how to do better. Each student receives a huge amount of feedback. → you are not left alone and get warm support from curator and groupmates.

Flame

→ We care about what experience you get during learning. Projector team creates products with passion and you can feel it in everything. → you will get team support, friendly service and learning program worked out to the details.

workshop price

380 EUR

pay by yourself
or through your employer

92,7% of students are satisfied with studying at the Projector, and 82,2% of students managed to realize their goals with the help of courses

*According to the research of the Projector.
The study involved 567 respondents
among graduates of the courses in 2022.

got questions?
we've got answers

do I need experience working with a design system?: yes — the intensive is built around the assumption that you're working with a real design system and will bring access to its documentation to class. basic familiarity with AI tools (ChatGPT, Claude, or others) is also required — the course doesn't start from zero.
I don't have my own design system, is this intensive right for me?: the exercises are built around your specific case — auditing your own system, translating your own product request into a context pack. without access to a real system, part of the practice will be difficult to complete.
will the intensive be recorded?: yes, it will be recorded — you'll be able to review the materials if you miss something or want to revisit it.
do I need to know how to write prompts for AI?: no, no special preparation is needed — we cover how to build context and prompts specifically for design system tasks during the intensive.
will there be homework or a final project?: there's no formal project after the intensive, but each of the three thematic blocks includes a hands-on exercise based on your own case — with an audit of your system, building a context pack, and a draft safe-to-try proposal.

apply
the choice is yours

Want to ask something else? Email to hello@prjctr.com or call +38 067 418-95-78.

Educational services are provided through access to public educational resources on the Internet, including virtual classrooms and an educational platform. The course falls under computer literacy training services within the meaning of clause 197.1.33 of the Tax Code of Ukraine.

apply
the choice is yours