●Vol. 01 · 2026 · A field guide to directing AI
AI is the most powerful car you've never been taught to drive. This is driving school.
You define the problem. You set the direction. You verify the output. AI does the execution. Work through real projects for fictional clients across seven areas of tech.
Give AI the right context, direct it through real workflows, verify what it produces, and know when to push back. This is the curriculum.
Platform setup→10 minutes. One terminal. One install.
§ TracksSeven disciplines
- 01Web DevelopmentBuild sites and apps, from static pages to full-stack deployments.— Start here if you want to see things come to life in a browser.24 projects→Build sites and apps, from static pages to full-stack deployments.— Start here if you want to see things come to life in a browser.
- 02Machine LearningTrain models and build LLM applications, from prototypes to production.26 projects→Train models and build LLM applications, from prototypes to production.
- 03Cloud EngineeringInfrastructure, IaC, and deployment pipelines from provisioning to observability.26 projects→Infrastructure, IaC, and deployment pipelines from provisioning to observability.
- 04CybersecurityAttack systems, detect the breach, and build the defenses.24 projects→Attack systems, detect the breach, and build the defenses.
- 05Analytics & BIDefine metrics, build dashboards, and make sense of experiments.— Most accessible entry point for data.23 projects→Define metrics, build dashboards, and make sense of experiments.— Most accessible entry point for data.
- 06Data EngineeringBuild the pipelines and quality systems that data depends on.— How data moves, not just what it says.24 projects→Build the pipelines and quality systems that data depends on.— How data moves, not just what it says.
- 07Data ScienceExplore data, build models, and turn findings into recommendations.— Heavier on statistics and modelling.18 projects→Explore data, build models, and turn findings into recommendations.— Heavier on statistics and modelling.
The premise
Every discipline has a real-world professional loop. The platform follows that loop from day one — the same path practitioners walk every day. What changes across projects isn't the loop. It's the terrain.
The skill
You never write code. You learn to direct AI through the loop — what to ask for, what inputs it needs, how to verify the output, and when to push back. By the end, you could walk into a company in this discipline and do the work.
New here? Start with the platform setup guide.