Audience
Who this is for
Brand & visual designers
Break out of generic AI outputs. We teach your visual team how to leverage AI to iterate on concepts and scale their artistic vision while maintaining strict brand consistency and original craft.
Product & UX designers
Stop waiting on engineering. We equip your UX team with agentic workflows to rapidly generate functional prototypes, automate tedious handoff tasks, and test complex interactions directly in code.
Design systems & ops
Turn rigid guidelines into dynamic workflows. We train your ops staff to build custom AI-driven internal tools that enforce custom design tokens and accelerate your entire studio's production pipeline.
Overview
Workshop overview
Equip your designers to use AI as a force multiplier. Instead of static mockups and endless handoffs, your team will learn to build functional tools, automate their repetitive workflows, and accelerate production - delivering ROI from week one.
Curriculum
The three days
The days are cumulative and run in order. Each builds on the one before, so a team starts at Day 1 and continues as far as it needs. Every exercise uses your team's own tasks and files, so the series fits whatever your function does.
Workflow mastery
The team maps where time actually goes — the handoffs, the repetitive rounds, the waits — and rebuilds those moments with AI live during the session. You leave with automations running, not slides about automation.
- Ship three working automations before the day ends
- Cut ideation-to-prototype cycles from weeks to hours
- Break the handoff bottleneck between design and engineering
Tool mastery
Hands-on setup and practise with the tools the team will actually use. Everyone leaves having built something real — not watched demos of what's possible.
- Leave fluent in Claude Code, Cursor, and Google Antigravity
- Set shared conventions so AI-assisted work stays consistent across the team
- Build a production-quality interface in a single session
Agentic LLM mastery
The team builds custom AI agents scoped to its own production challenges. By end of day those agents are running inside real workflows — owned by the team, not handed back as homework.
- Write prompts that return structured, production-ready output reliably
- Build a shared library of AI skills the entire team can reuse and extend
- Connect agents to your codebase and tools so they operate where the work already is
Workshop details
Larger cohorts available on request.
