Free Lesson

Inside the Machine: How to write for LLMs

Hosted by Patrick Neeman

Sat, Aug 29, 2026

7:00 PM UTC (1 hour)

Virtual (Zoom)

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Using Generative AI to Design and Prototype for Designers and Product Managers
Patrick Neeman
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What you'll learn

How to build the mental model

Offer a concrete and concise explanation of How large language models generate text token by token, and use that mental

How to write the way models read

Explain how large language models generate text token by token, and use that understanding to predict where they'll exce

How to apply it to real work

Use a repeatable framework on an actual task, producing prompts and content that yield reliable,

Why this topic matters

Structure prompts and instructions the way models parse them—leading with intent, front-loading constraints, and anchoring tone and format with examples. Give students an idea of how they can expect to grow with this lesson.

You'll learn from

Patrick Neeman

Patrick is Sr. Principal UX Designer

I've spent two decades in UX — from early product roles at places like Stamps.com and Escrow.com to leading AI design at Workday today. Somewhere along the way I got fixated on one question: what does good design look like when the interface is an agent, not a screen?

That question is basically what I teach.

I've published two books (uxGPT among them), and taught at General Assembly,. I write about this every week at AI for UX, and I build it hands-on — Claude Code, Figma MCP, Lovable, Cursor — inside a large enterprise, not from the sidelines.

What I'm not interested in is AI hype or hand-wavy futurism. I care about the craft: the patterns, the prototyping workflows, the behavioral frameworks that actually help designers ship real agentic products. That's what you'll get from me.

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