Library

A practical end-to-end guide for building, deploying, and managing AI-generated web apps — from planning your first prompt to going live with GitHub, Vercel, payments, analytics, and monitoring.

A practical roadmap for breaking into product management — covering skills, AI fluency, portfolio building, your first role, networking, and a full 12-month plan.

For designers who want to be indispensable, not just employable. Covers the full-stack designer model, AI tools, systems thinking, working like a founder, and building a portfolio that shows thinking rather than decoration.

You don't need to write code to build a successful startup, but you do need to understand how software gets built. Learn the engineering workflow, team structure, and technical fundamentals that help non-technical founders make better decisions and work effectively with developers.

Marketing is no longer about posting content. Covers positioning, GTM models, growth metrics, the AI marketing stack, and how to build a real marketing career that compounds.

The future belongs to people who can coordinate people, AI agents, systems, and execution. Covers delivery frameworks, the expanded operations skill set, automation design, and the path to AI Operations Manager and Chief of Staff.

How to build, ship, and scale software in the age of AI — covering product engineering, AI development workflow, deployment, infrastructure, open source, and a 5-year growth roadmap.

A practical breakdown of the AI coding tools, models, and workflows worth using in 2025 — ranked by real-world usefulness, not hype.

A practitioner's guide to moving from a single paying customer to a product with real structure — validation loops, scope decisions, and the moments that decide whether you ship or spiral.

The structural thinking every AI-assisted builder needs — how to organise your codebase, manage state, and make decisions that don't collapse under pressure.