Spec-Driven AI for UX Designers: from Vibe to AI Pilot

Alex M. Chong

UX Director, Practice Advisor, Coach

The UX career path from vibe prompter to piloting your own AI systems

Everyone is telling you to learn AI and figure it out, but nobody is leading you through it. Your company wants you to become AI native, but can't tell you what that means.

So we default to "prompting better", or "training" a chatbot on our design system, hoping it knows what we want. It comes back almost right, you fix the rest by hand, and none of it carries to the next session. Becoming AI native means thinking in systems: understanding how AI operates well enough to design how it works with you, what it surfaces and when.

Yes, in this course you'll learn how to build AI agents – but I'll be teaching so much more than that. You'll learn the mindset shifts that make you a systems thinker, ready for whatever AI becomes next.

  • Week 1 · Get Claude to hold your context and behave predictably, instead of drifting every session

  • Week 2 · Build an agent that refuses to leap to output, and walks a vague idea into a build plan

  • Weeks 3 & 4 · Make it run on your custom process rather than a generic one, and reusable for future projects

Your agent assists your thinking, never replaces your judgement. I'll take you from vibe prompting to building an AI aircraft you can fly.

What you’ll learn

Hands-on, week by week: from vibing with AI in chat to piloting a system you designed for yourself.

  • Build your agent in Claude, with a hands-on activity every lesson. Each week builds on the last week's system

  • Separate it into behaviour, what it knows about you, and the work, so you swap projects without rewriting who you are

  • Write gates that hold each stage until it's defined: the task named, the concept described, every interaction written down

  • Pilot it on a real project with gates that leave a file at every stage, then delete the chat and watch it hold

  • Diagnose why output drifts, and learn to anticipate how a session will behave

  • Spot the two dynamics that cap you: making wishing to a genie, and a Claude that only obeys

  • Keep what works, delete the chat, and start fresh without losing ground

  • Map your real process into named stages, each with what enters, what leaves, and the check that closes it

  • Instruct your agent until it builds its own calibration log, so it adjusts without you editing files

  • Write loading rules so each mode reads only what it needs, and stop it drifting as the system grows

  • Have the agent read its own logs back as a report, and see a working pattern you hadn't noticed

  • Package your system so it installs into the next project instead of starting over

Learn directly from Alex

Alex M. Chong

Alex M. Chong

Director of UX Design, UX Practice Advisor & Career Coach

Hudson's Bay Company: HBC
BrainStation
Outwitly Inc.
See all products from Alex

Who this course is for

  • Senior product and AI designers weighing a move toward leadership, who want to grow systems thinking and strategic influence.

  • Design managers and directors leading a team to AI native: turn the noise into a mapped workflow and a system that scales.

  • UX/UI designers and researchers who feel left behind, want to re-position their career and build AI agents to work the way they think.

What's included

Alex M. Chong

Live sessions

Learn directly from Alex M. Chong in a real-time, interactive format.

Certificate of completion

Shareable on LinkedIn and for employer documentation.

Office hours for project feedback and critique

Dedicated office hours give you instructor and peer feedback on the project you carry through the course.

Community of peers

Stay accountable and share insights with like-minded professionals.

Alumni network

Stay connected to designers and researchers who all build and run their own AI systems.

Lifetime access

Go back to course content and recordings whenever you need to.

Discounts to future programs

Every future program you join after this one is discounted, for good.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

3 live sessions • 37 lessons • 4 projects

Week 1

Oct 13—Oct 18

    Oct

    14

    Live Kickoff: Welcome & Pre-Course Review

    Wed 10/144:00 PM—5:00 PM (UTC)

    1.1 The Limits of a One-Way Modality

    3 items

    1.2 What AI Reads & How to Brief It

    3 items

    1.3 The Coworker Dynamic: Working From a Shared Folder

    4 items

Week 2

Oct 19—Oct 25

    2.1 System Architecture: Agent, Context & Work

    3 items

    2.2 Operating Your System

    3 items

    2.3 Mapping Your Own Workflow

    4 items

    Oct

    20

    Open Check-In: How Your Systems Are Holding Up

    Tue 10/204:00 PM—5:00 PM (UTC)

Schedule

Live sessions

1 hr / week

    • Wed, Oct 14

      4:00 PM—5:00 PM (UTC)

    • Tue, Oct 20

      4:00 PM—5:00 PM (UTC)

    • Tue, Nov 3

      5:00 PM—6:00 PM (UTC)

Projects

1-2 hrs / week

Async content

2-3 hrs / week

Frequently asked questions

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Private cohort

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A dedicated cohort with a custom schedule and curriculum, tailored to your team.

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$899

USD

Oct 13—Nov 8
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