All Modules & Lessons

Complete overview of all available modules and their lessons

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Module 0 - The Dirty Dishes Trap

3 Lessons

Why Context-Switching with AI Destroys Your Brain

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The Dirty Dishes Trap
Why Bouncing Between Multiple AI Agents Feels Productive, But Really Isn’t
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Vibecoding vs AI-First Development
Why They Look Similar but Produce Opposite Results
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Will This Age Well?
Why the operator mindset isn’t a trend and my commitment to keeping this course evergreen.
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Module 1 - 90/10 Mindset & Overview

8 Lessons

Understand the core philosophy of the AI Operator.

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Introduction for Solo Developers
Why AI feels chaotic today, and how you're going to master it.
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The 90/10 Rule
Understand the core philosophy of the AI Operator. AI does the hard part, you do the human part
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Why Prompting Harder Makes Everything Worse
The illusion of control is the enemy of AI-first development.
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The Four Types of AI Developers (And Why Three Burn Out)
As AI development becomes mainstream, people fall into a few clear groups.
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The Operator Mindset
Calm. Clear. Context-first. No chaos.
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The Shift From Coding to Defining
How your workflow actually changes when you adopt AI-first development
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Why AI-First Is Not a Trend
It’s the next phase of engineering, and the economics are not optional.
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Preparing for Part 2
Closing the mindset shift and stepping into the fundamentals of the Operator Pipeline.
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Module 2 - The basics

8 Lessons

Master the fundamentals: Models, Artifacts, Agents, and Agentic Styles.

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Understanding the Models
(In Plain English)
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Understanding Artifacts
The Memory System That Makes AI Reliable
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Always Review Your Artifacts
AI adds value, but only if you stay in the loop.
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AGENTS.md - Your Rulebook for AI Behavior
The Document That Turns AI Into a Predictable Teammate
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The Three Agentic Styles
How Your Workflow Adapts to Any AI Tool
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Your Voice = Your AI Operator Superpower
Why talking out loud unlocks better thinking, and where it fits in the workflow.
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Using Multimodality: Text, Voice, Images & Files
How to unlock AI's full power by using every input channel, not just text.
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Before We Begin the Phases
A Clear Recap of What You’ve Built So Far
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Module 3 - AI Analysis

10 Lessons

Analyze requirements and define product scope with AI.

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Analysis phase
The Phase Where You Discover Reality
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You Wouldn’t Start Coding Like This, So Don’t Do It With AI
Connecting the analysis phase to how you already think as an engineer or founder.
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The Analyst Role
The Hidden Skill That Makes or Breaks Everything
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Competitive Research
Seeing the Landscape With Analyst Eyes
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Problem-Solution Fit
The Analyst’s First Responsibility
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Success Criteria
Where the Analyst and Product Manager Overlap
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The UX/UI Role
Designing the Human Side of AI-First Development
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Brand Colors vs Semantic Colors in AI-First UI
Why UX/UI designers must define color palettes as explicit artifacts so AI can apply them reliably.
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Design Inspiration Libraries for AI-First UI
How to turn screenshots you love into structured artifacts that teach AI your taste instead of forcing it to copy pixels.
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Email Flows as Part of UX
Why email is part of the product experience, and how to use AI to design the right notifications instead of forgetting them entirely.
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Module 4 - AI Planning

10 Lessons

Plan your implementation strategy.

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Planning phase
The Phase Where Clarity Becomes Structure
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The Product Manager Role (Planning Phase)
Why the PM role matters in AI-first development, and how to use it effectively.
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Epics & User Stories: How AI Turns Ideas Into Buildable Work
A hands-on, practical walkthrough of epics, user stories, and how the PM role structures work for AI-first engineering.
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Acceptance Criteria & Edge Cases
The two pieces of PM work that make AI development predictable, stable, and production-ready.
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Dependency Mapping
How product managers prevent AI from building features in the wrong order.
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The Architect Role in AI-First Development
What an AI Architect really does, and how their decisions shape every agent and every line of generated code.
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Contract-First Design in AI-First Development
Why defining data contracts and API shapes before coding gives AI a stable, predictable playground.
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Choosing a Tech Stack for AI-First Work
How to think about your stack as an architectural constraint that makes AI-generated systems coherent instead of chaotic.
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Architecture.md – The Blueprint Your AI Needs
Why this artifact feels confusing at first, and why it becomes the single most important document in AI-first development.
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Security Acceptance Criteria
A lightweight way for Product Managers to prevent insecure behavior early—without becoming security engineers.
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Module 5 - AI Implementation

2 Lessons

Implement features using AI tools.

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Implementation phase
The Phase Where the AI Builds the Product
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Development Is Data Transformation
Why the calmest phase in AI-first work is the one where AI turns solid artifacts into production code.
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Module 6 - AI Testing

7 Lessons

Ensure software quality with AI-driven testing strategies.

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Implementation phase
The Phase Where the AI Builds the Product
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Designing for System Responsiveness
How to make AI-built products feel fast, clear, and trustworthy—even when the backend can’t be instant.
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The QA Feedback Loop
How QA keeps AI-first projects honest, stable, and aligned with the original intent after every epic.
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Unit Tests as a Safety Net
How to use tests to keep AI-generated code stable as it grows, and the two main ways to weave testing into your workflow.
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Code Smell in AI-First Development
Why passing tests are not enough, and how to use code smell scans to keep fast AI-generated codebases healthy over time.
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Security Reviews in AI-First Work
How to weave cybersecurity and compliance checks into your AI-first workflow without turning your product into an unusable fortress.
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The Security Auditor Role
An optional role that finds vulnerabilities fast—without automatically turning your product into a locked-down UX disaster.
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Module 7 - AI-first Application build from scratch

2 Lessons

Build a complete application from scratch using AI-first principles.

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How I built AI Operator.dev: When You Think You're Following the Process, But You're Not
A real story of drifting, rushing, overconfidence, and the exact signals that tell you it's time to restart.
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Tutorial: Build a Kanban App
A hands-on, end-to-end sandbox project to practice the full Operator workflow.
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Module 8 - Change requests / Pivoting

3 Lessons

Handle change requests and pivot your project effectively with AI.

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Change Requests in AI-First Development
How to handle small and medium changes without collapsing the whole pipeline, even while the practice is still evolving.
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Refactoring an Application with AI
A high-level roadmap for using AI-first workflows to modernize an existing codebase by rebuilding artifacts and moving through the full Operator pipeline.
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Handling Mistakes (The Signal, Not the Noise)
Why fixing code manually is the wrong move—and how to use mistakes to make your AI smarter.
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Module 9 - Beyond AI Operator basics

13 Lessons

Review key concepts and prepare for your future journey as an AI Operator.

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Making Roles Your Own
How to Adapt the System to Your Workflow Instead of Adapting Yourself to the System
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A First Look at Agent Orchestration
What it is, why it matters, and why you don’t need it yet, but you will.
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Pro Tip: Reuse Your Past Work but Let AI Improve It
A simple hack that turns your previous integrations and components into smarter, upgraded building blocks.
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Stop Overthinking File Naming
Why file names matter far less than you think, and how to structure them without paralysis.
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How to Build Stripe Checkout with AI
A Product Manager’s guide to getting Stripe Checkout right without the common AI pitfalls.
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How to: ChatGPT Codex
Operating the AI Operator System Inside ChatGPT Codex
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How to: Claude Code
How to use Claude Code (and similar CLI-based tools) to run a fully agentic development workflow.
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Using the AI Operator System in Google Antigravity
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The insanely simple TL;DR
The mindset in bullet points
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The Post-it Note Analogy
A simple way to understand why your AI gets confused (and how to fix it).
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The Operator Workflow Beyond Software
Why it’s called Operator, not AI Engineer—and how the same system works for content and distribution.
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Authentication Is Infrastructure
Plan it early. Keep it boring. Never DIY it.
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Role Blueprints (Copy-Paste Library)
A practical set of reusable role prompts for AI-first development—designed to be edited to fit your product.
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Module 10 - What's new?

0 Lessons

Reacting to new models and tools, testing, reviews...