Books

Most products burn millions chasing growth, only to watch users leave as fast as they arrive. This book shows you how to build self-sustaining loops where every user makes your product faster, stickier, and more valuable, turning expensive acquisition into compounding, unstoppable momentum. Stop running on a treadmill. Start building a flywheel.

Build a real AI platform on OpenShift, not just “another Kubernetes cluster.” This guide walks you through air-gapped installs, Quay mirroring, GPUs, InfiniBand, GitOps, and benchmarking—so platform and SRE teams can deliver a secure, observable, high-performance OpenShift AI environment that app teams actually want to use.

When the world goes beyond VUCA and BANI, leaders don’t need another framework - they need Monday-morning moves. Thriving in Turbulence introduces CIRCA-CLEAR, a meta-framework that helps you rapidly diagnose the turbulence you’re in and run 2-4 week responses that restore flow, reduce escalation, and make everything you already do more context-aware. Pattern recognition for leaders under pressure: decode complexity, restore flow, repeat.

El verdadero Vlad, de la casa Dracul, fue un gobernante que lucho en medio de traiciones y de los intereses de dos imperios, nadando en un mar de sangre.

Ash Framework has climbed to #4 as the most used Elixir framework/library in the 2025 community survey, right behind Phoenix, LiveView, and Absinthe. Impressive rise for the youngest in the top! If you're a Phoenix developer looking to level up with Ash, the rising star that's simplifying business logic, data layers, APIs, and more, now is the perfect time! What's inside?Part 1: The Fundamentals: Master the 20% that unlocks 80% of Ash's power.Part 2: Wire Ash into Phoenix Applications: Seamless integration for your projects.Part 3: Building and Publishing Reusable Ash Extensions: Create pro-level tools like those in ash_authentication.

Master AI Agents from Architecture to ProductionBuild autonomous agent systems that actually work in production. This comprehensive guide takes you from understanding ReAct patterns to orchestrating multi-agent systems at scale. What You'll Master:✅ Agent architectures: When to use agents vs RAG vs fine-tuning✅ Reasoning patterns: ReAct, Chain-of-Thought, Plan-and-Execute✅ Multi-agent orchestration with proper coordination protocols✅ Production deployment with error handling, monitoring, cost optimization✅ Tool calling, memory systems, and context management Who This Is For: Software engineers building LLM applications, backend engineers adding agentic capabilities, senior engineers preparing for AI agent interviews at top companies. What Makes This Different: 100+ production-focused scenarios with real architectural trade-offs. Real-world examples from companies shipping agent systems . Stop building chatbots. Start building agents that take action.

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Master Gen AI from Theory to ProductionYou don't learn Gen AI from tutorials — you learn from solving real problems. How does ChatGPT handle context and avoid hallucinations? How does Perplexity build RAG at scale? How does GitHub Copilot generate accurate code? Grokking Gen AI teaches through real-world scenarios and production patterns. 116 scenario-driven case studies covering: ✅ RAG with vector databases and hybrid search ✅ Prompt engineering with Chain-of-Thought reasoning ✅ Document processing with multi-format parsing ✅ Multi-modal AI with vision and audio ✅ Production deployment with monitoring and cost optimization Every scenario includes: production problem, architectural approaches, Gen AI patterns, decision frameworks, tool implementations, and interview-ready explanations. Learn through case studies from OpenAI, Anthropic, Google, Meta, and top AI-companies. Your journey from developer to Gen AI architect begins here — with scenarios you'll face and tools you can deploy.