TJ Pitre – AI & Design Systems

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TJ Pitre – AI & Design Systems

In today’s creative and product landscape,

AI isn’t just a tool anymore — it’s becoming a core component of how design systems are conceived, built, and scaled.

AI & Design Systems is designed to equip designers, product builders, and teams with the mindset and methodologies

to integrate AI into design workflows, tooling, and execution pipelines in ways that are strategic, scalable, and future-ready.

Instead of teaching isolated tricks or gimmicky prompts, the course emphasizes how to architect repeatable systems

where AI becomes a functional collaborator — from ideation and prototyping to component curation,

generative iteration, and production alignment.

Reframing Design as Systemic Thinking

Most design learning focuses on UI/UX principles in isolation.

The course reframes design as a system — a network of processes, patterns, tools, and outputs

that produce consistent product experiences. AI is woven into the system at each phase so that:

Ideation becomes prompt-driven but structured

Prototyping is automated yet context-aware

Components emerge from logic, not guesswork

This systemic lens helps designers think beyond screens and into scalable workflows.

AI-Assisted Workflow Architecture

At the center of AI & Design Systems is workflow design — how tasks are structured, automated,

and delegated between human and machine.

Participants explore:

AI prompt workflows for rapid iteration

AI integration with design tools (Figma, Sketch, etc.)

Data-driven pattern libraries

Automated accessibility and UI refinement tools

This turns previously manual steps into automated or AI-augmented processes.

Component-Driven Systems Thinking

Design systems are built on reusable patterns.

Inside, you’ll learn how to:

Generate component variations with AI assistance

Maintain visual and interaction consistency at scale

Create systems that auto-adapt to brand standards

Measure component effectiveness through analytics feedback

This pushes design systems beyond static libraries and toward living ecosystems.

AI for Prototyping & Rapid Iteration

Prototyping often dominates early project schedules.

The course teaches frameworks that help designers:

Generate multi-screen experiences from structured prompts

Test interaction flows rapidly using AI logic

Refine usability patterns based on performance signals

Automate content placeholders, visual generation, and layout logic

This significantly accelerates the concept-to-prototype timeline.

Human + Machine Collaboration Mindset

The future of design isn’t AI versus designer — it’s AI with designer.

TJ Pitre – AI & Design Systems frames collaboration by showing how:

Humans and AI build iterative cycles

Designers can lead vision while AI handles execution patterns

Errors and hallucinations can be anticipated and checked

Designers remain in control of high-level decisions

This mindset shift is central to sustainable AI integration.