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Оглавление - Think like claude. The secrets of productivity. A practical guide
AI in action: the key to success book series
- Introduction: Welcome to Claude’s World!
- What is Claude and how does it differ from other AI systems
- Our experience working with Claude: the story of creating this book
- Claude about himself: an inside look at AI thinking and development
- Why this book will change your approach to work and creativity
- What you will get by reading this book
- Book structure: a guide to chapters
- Part I. Basics of Communication with AI: Key Principles and Techniques
- Chapter 1. Think Like Claude — Think Clearly, Precisely, Concretely
- The power of clarity: how clear task setting affects the result
- The art of asking the right questions
- Techniques for concretization and decomposition of complex problems
- Practicum: describe your task so that AI understands it
- Afterword to the chapter
- Chapter 2. Context — Your Key to Success
- Why Context Matters and How to Convey It Properly
- Types of Context: From Background to Expected Result
- Structuring Information for Maximum Clarity
- Practicum: Provide Your Request with Exhaustive Context
- Afterword to the Chapter
- Chapter 3. Roles and Personas — Become Who You Need
- How Trying on Different Roles Helps Find Non-Standard Solutions
- Gallery of Archetypes: From Expert to Creative
- Nuances of Communication with Different Personas
- Practicum: Solve a Problem by Putting on Three Different Roles
- Afterword to the Chapter
- Chapter 4. Formatting Requests — Aesthetics Matter
- Why request formatting affects the quality of the answer
- Basic principles of effective information presentation
- Creative formatting techniques for non-standard tasks
- Practicum: transform raw text into an aesthetic and structured request
- Afterword to the chapter
- Chapter 5. Optimal Size — How Not to Overdo It and Not to Undersalt
- The concept of «cognitive load» and why it’s so important
- Balancing between informativeness and brevity
- Testing different formats and volumes of requests
- Practicum: write the perfect size request for your task
- Afterword to the chapter
- Part II. Advanced AI Techniques: On the Path to Mastery
- Chapter 6. Iterations and Feedback — The Path to Perfection
- The Philosophy of Iterativeness: Why Once Is Never Enough
- The Art of Giving and Receiving Constructive Feedback
- Techniques for Gradual Improvement of Results Through Multiple Refinements
- Practicum: Bring an Imperfect Result to Perfection Through a Series of Iterations
- Afterword to the chapter
- Chapter 7. Give Free Rein to Imagination — Creativity Beyond Templates
- Why Excess Frames Kill Creativity
- The «Yes, and…» Principle — The Main Tool for Generating Ideas
- Techniques for Stimulating Imagination and Lateral Thinking
- Practicum: Come Up with 10 Crazy Ideas for Solving an Everyday Problem
- Afterword to the chapter
- Chapter 8. Effective Structure — Beauty in Organization
- Why Chaos Kills Productivity (and How to Fight It)
- Principles of Effective Information Organization
- Templates for Structuring Requests for Different Types of Tasks
- Practicum: Rebuild a Chaotic TOR into a Logical and Clear Structure
- Afterword to the chapter
- Chapter 9. The Power of Examples — Show, Don’t Tell
- Why Examples Work Better Than Explanations
- How to Select Relevant and Inspiring Examples
- «Example-Antiexample» Format for Learning by Contrast
- Practicum: Explain an Abstract Idea with a Concrete Example
- Afterword to the chapter
- Chapter 10. Life Hacks for Working with Claude — from beginner to pro
- TOP 10 life hacks for a quick start in «thinking like Claude»
- Advanced techniques for solving non-standard tasks
- Professional tricks and subtleties of communicating with AI
- Practicum: solve a real business case by applying the whole arsenal of life hacks
- Afterword to the chapter
- Part III. Human and AI: On the Threshold of a New Era
- Chapter 11. Human-AI Collaboration — Opportunities and Prospects
- How AI is Changing the Familiar Landscape of Business and Creativity
- New Models of Human-Machine Interaction
- Examples of Successful Human-AI Collaboration from Different Industries
- Practicum: Come Up with Your Own Project at the Intersection of Human and Machine Intelligence
- Afterword to the chapter
- Chapter 12. Professions of the Future — How AI is Changing the Job Market
- Which professions will disappear, and which will appear thanks to AI
- What to learn now to be in demand in the future
- Neuromorphic professions and competencies
- Practicum: create your professional development plan taking into account AI trends
- Chapter 13. Ethics and responsibility in the AI era
- Key ethical issues and dilemmas related to AI
- Principles of a responsible approach to the development and use of AI systems
- How to ensure that AI serves for the benefit of humanity
- Practicum: develop an ethical code for an AI startup
- Afterword to the chapter
- Conclusion: Think like Claude — change your world!