Build to Launch
One live session per month. One deliverable per month. By the end of the year, you have a portfolio of things you shipped — not a folder of notes.
Use AI to research a real question from your work. Learn to compare models, evaluate sources, and fact-check AI output.
Build a repeatable research system using MCP connections and AI pipelines.
Build and deploy a landing page using AI coding tools. Go from nothing to a live URL in one session.
Use AI to create content around what you've already built — articles, social posts, images.
Systematically test what you've built. Smoke testing, edge cases, user testing.
Audit what data you're giving AI. Draft a personal or team AI policy.
Build an automation that does real work while you're not there.
Build something more substantial. A tool, an app, a product — real functionality.
Get what you've built in front of people. SEO, cross-posting, repurposing — all AI-assisted.
Manage AI as an ongoing team member. Context engineering, memory, project files.
Go back to what you've built. What worked? What broke? Systematic improvement.
Ship your capstone project. Present to the cohort. Publish. Get your certificate.