Ai Dive Deep

Vlad's Playbook earns its place on your bookmarks bar — and not just because it's free. Most AI guides are written by people who've never shipped an AI-native product at scale. Vlad has, multiple times over, and it shows in the receipts: real GSC exports, real Ahrefs data, real billing numbers. The agentic SEO chapter (Edition 10.8) is a masterclass in evidence-based marketing — it shows Folderly EmailGen hitting #1 for 'business email generator' with 467K impressions, but also LinguaLive's 94% brand clicks, a cautionary tale about trusting traffic graphs. That kind of honesty is rare. When should you pick this? If you're running agentic workflows, evaluating LLM outputs, or doing SEO for AI-native products, this is your playbook. The working TypeScript code for evals (PromptEvaluator, hybrid BM25+vector retriever) saves you days of building from scratch. The tier list, updated with Sonnet 5 and Opus 5, is exactly the kind of unvarnished ranking operators need — Opus 5 tops the independent index at lower cost per task than the model below, a detail most coverage missed. The CAD-as-code experiment (Edition 12.0) is both a flex and a useful template for pushing agents into physical design. When should you pass? If you're a complete beginner who prefers video tutorials, this will feel dense — it's written for operators, not learners. There's no enterprise support, no SLA, no hand-holding. If you want a no-code AI app builder or pre-made chatbot templates, this isn't that. It's a text-heavy manual, though the 25 interactive widgets help. The closest alternative is something like AnszA's agentic playbooks or Anthropic's own cookbooks — but those are often narrower or less current. Vlad's Playbook is a single operator's continuous, living document, updated more frequently