50 realistic IT support tickets. Five connected shifts. Make the call, uncover new evidence, and learn the troubleshooting, triage, communication, and escalation skills used on a real help desk.
Written for people who never asked to become AI users and now are. Not a tour of the technology, but a practical guide to working with it well — the habits that make good results repeatable, and the judgement to know when to check.
Conocer distintos estilos de liderazgo no sirve para etiquetar personas, sino para ampliar tus opciones como líder. Este libro te propone entender cómo adaptar tu forma de conducir según las personas, la situación y las necesidades del equipo.
Every skateboarder already has what it takes to build something real — the creative, practical skills that get you through your last session are the exact skills that build a business. Over 30 business ideas across media, apparel, events, design and fabrication to help you make a success of your new skateboarding business.
A beginner‑friendly solar guide that cuts through jargon, myths, and sales pressure. Real numbers, honest trade‑offs, renter‑friendly options, and clear diagrams.

High-stakes SaaS incidents do not need more corporate fog. They need clear ownership, honest updates and the right words at the right moment. Get 52 practical templates, 104 wording alternatives and a complete communication system for incidents and escalations.
Frameworks come and go; components built on the browser's own element model don't have to. This book teaches the platform first, then Lit on top of it, and builds one real design system the whole way through: from a bare button to a versioned, documented, server-renderable npm package.
Master deep learning with PyTorch & Lightning. Core concepts, practical Q&A, and production-ready code with a full companion GitHub repository.
Your manager calls you into a meeting. Everyone is cheerful. The Head of Sales is there. “We heard AI is really useful for boosting productivity. We’d love to explore how it can help us in Sales.” Your manager agrees. “This is the perfect pilot. Please give us a concept until next week so we can see what we can do.”The follow-up arrives quickly. Sales is overloaded. Everyone is busy serving customers. Nobody has time for a workshop, but they do have Sales.xlsx. That is what you get. The clock is ticking.And then you open Sales.xlsx.You have nothing. No requirements, no workflows, not even a proper data model. What you have is a snapshot of the messy reality Sales is dealing with every day. Customer names, contacts, opportunity values, dates, products, notes, colors that apparently mean something, and a field called Status_Final_2, which tells you enough about its history that asking about Status_Final_1 would probably ruin the afternoon.And then it strikes you: they are not even using the CRM. You do not know why. Nothing you know from IT seems to apply in Sales, and they do not particularly care. They have customers to serve. Whatever happened between the shiny CRM rollout and this spreadsheet happened years ago. Today, Sales.xlsx is the truth.And now, just because AI promises productivity, they are asking for the benefits.How is that even supposed to work?
《我的智能体:从聊天到 AI 工作台》写给已经重度使用 AI 智能体的人。它不再停留在提示词技巧,而是帮助你建立属于人的 Agent Control Plane:任务、证据、变更与接管。
AIにコードを書かせた後、何を確認すればよいのか。Tauri 2とRustのアプリ事例で、依頼・実装・検証の進め方を学びます。
What should you check after AI writes your code? Learn a practical request, build and verify workflow through Tauri 2 and Rust application examples.
AIが書いた取引コードをどう検証するか。データと損益計算から始め、モデルとリスク管理を理解します。
Learn to question AI-generated trading code. Follow the data, verify backtest accounting, and understand regime models, position sizing and risk controls.