Content from the AI Agent Handbook, covering autonomous AI agents, models, memory systems, tools, reasoning, evaluation, and operations.
Build a working calculator tool for your AI agent from scratch. Learn the complete workflow from Python function to tool integration, with error handling and testing examples.
Learn how to call language models from Python code, including GPT-5, Claude Sonnet 4.5, and Gemini 2.5. Master API integration, error handling, and building reusable functions for AI agents.
Learn how to design effective tool interfaces for AI agents, from basic function definitions to multi-tool orchestration. Covers tool descriptions, parameter extraction, workflow implementation, and best practices for agent-friendly APIs.
Discover why AI agents need external tools to overcome limitations like outdated knowledge, imprecise calculations, and inability to take real-world actions. Learn how tools transform agents from conversationalists into capable assistants.
Learn how to use chain-of-thought prompting to get AI agents to reason through problems step by step, improving accuracy and transparency for complex questions, math problems, and decision-making tasks.
Learn how to guide AI agents to verify and refine their reasoning through self-checking techniques. Discover practical methods for catching errors, improving accuracy, and building more reliable AI systems.
Learn how to teach AI agents to think through problems step by step using chain-of-thought reasoning. Discover practical techniques for improving accuracy and transparency in complex tasks.
Master the art of communicating with AI agents through effective prompting. Learn how to craft clear instructions, use roles and examples, and iterate on prompts to get better results from your language models.
Master advanced prompting strategies for AI agents including role assignment, few-shot prompting with examples, and iterative refinement. Learn practical techniques to improve AI responses through context, demonstration, and systematic testing.
Learn the fundamentals of writing effective prompts for AI agents. Discover how to be specific, provide context, and structure instructions to get exactly what you need from language models.
Learn how language models work as the foundation of AI agents. Discover what powers ChatGPT, Claude, and other AI systems through intuitive explanations and practical Python examples.
Discover what you'll build throughout this book: a capable AI agent that remembers conversations, uses tools, plans tasks, and grows smarter with each chapter. Learn about the journey from simple chatbot to intelligent personal assistant.
Learn how language models predict text, process tokens, and power AI agents through simple analogies and clear explanations. Understand training, parameters, and why context matters for building intelligent agents.
Learn what distinguishes AI agents from chatbots, exploring perception, reasoning, action, and autonomy. Discover how agents work through practical examples and understand the spectrum from reactive chatbots to autonomous agents.
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