Ai Dive Deep

Vlad's Playbook is not your typical AI book. It's a living, versioned manual from a practitioner who runs multiple AI-driven companies. The content is grounded in real metrics—GSC, Ahrefs, conversion data—and the author isn't afraid to show failures alongside wins. Where it shines: the actionable code snippets (PromptEvaluator, hybrid retriever), the tier list with cost-based sorting, and the agentic SEO chapter that dissects real traffic data. If you're building products with AI or managing agent workflows, you'll find patterns you can steal. Where it falls short: this isn't for beginners. If you haven't yet used Claude Code or built a basic agent, the manual jumps in deep fast. There's no video, no hand-holding, and the design assumes you're already comfortable with the terminal. Compared to something like 'Building LLM Apps' by Jay Alammar, this one is far more opinionated and operational—less theory, more 'here's what worked and what didn't.' It's also free and updated weekly, which is hard to beat. In practice, we'd recommend it for anyone already shipping AI features who wants to level up their eval game, understand agent economics, or just see how a seasoned operator thinks. If you need a gentle intro, start with the 'Learn' section first.