Brief
Frame intent, constraints, audience, references, and taste.
Learn how AI agents are changing design work.
Practical courses for designers building with AI agents. Learn the mindset, methods, and skills that matter now.
Brief, generate, critique, revise, and ship. The same disciplined loop runs through every course and practical workflow.
Frame intent, constraints, audience, references, and taste.
Create drafts, variants, code, diagrams, audits, or research packets.
Compare the artifact against product goals, brand taste, and user needs.
Steer the work with sharper evidence, examples, and boundaries.
Turn the artifact into a usable page, workflow, test, or team practice.
Start with the fundamentals, then move into code, systems, prototyping, and critique.
Vocabulary, mental models, limits, and the designer-agent loop.
How designers can use coding agents for prototypes, audits, and handoff.
Reusable constraints, component taste, review gates, and QA workflows.
The books establish the thinking. The school turns it into guided courses, field notes, and repeatable workflows.

How AI agents are transforming product design.
The operating model for product designers, design leads, and builders who need to understand what changes when agents join design work.

A designer's guide to AI-assisted workflows.
A practical guide for designers who want to work directly with coding agents without turning it into a programming manual.

Local-First, Agent-Native Design-as-Code — The Open-Source AI Design Alternative
A practical field guide to running local-first, agent-native design-as-code workflows without surrendering brand quality or vendor independence.
Experiments, tool tests, field notes, and workflow templates keep the curriculum close to current practice.
A beginner path before the tools get loud.
Templates for repeatable operating loops.
Experiments, tool tests, and case studies inside the school.
What changed when an agent was given real design constraints.
Frame intent, constraints, references, and review criteria.
Practical notes, workflows, examples, and critique from the school and lab.
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