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Learn how to process PDF documents with Claude for intelligent analysis beyond simple text extraction. Covers implementation, what Claude can extract from PDFs, common use cases like contract analysis and data extraction, and production best practices.

Model Context Protocol (MCP) is a communication layer that provides Claude with context and tools without requiring you to write tedious integration code. Learn how MCP shifts the burden of tool definitions and execution to specialized servers, saving developers thousands of lines of code.

Claude operates blindly without environment inspection. Learn why observation is essential for effective agents and how to build inspection capabilities into your tools. Includes practical patterns and real-world examples.

Not every task can be solved in a single Claude request. Learn when to use workflows vs agents, explore the powerful evaluator-optimizer pattern, and discover proven workflow patterns that will make you a better AI engineer.

Learn how to build an MCP server using the official Python SDK. This practical guide shows you how decorators and type hints simplify tool creation, replacing complex JSON schemas with clean, readable code.