Anthropic

Should you build a workflow or an agent? Learn the key differences, trade-offs, and when to use each approach for reliable AI-powered applications. Includes decision framework, hybrid patterns, and real-world examples.

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.

Resources in MCP servers allow you to expose data to clients, similar to GET request handlers in a typical HTTP server. They're perfect for scenarios where you need to fetch information rather than perform actions.

Speed up AI responses by up to 85% and cut costs dramatically — all by letting Claude remember what it just processed. A comprehensive guide to implementing prompt caching with TypeScript and Python.

Learn how to build a production-ready hybrid search system that combines the semantic understanding of vector embeddings with the precision of BM25 lexical search using Reciprocal Rank Fusion (RRF). Includes architecture patterns, mathematical explanations, and real-world examples.

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.

Learn when to let Claude figure out the steps instead of defining them yourself. Discover how to build powerful agents with simple, combinable tools that handle unpredictable tasks. Includes tool design principles and real-world examples.

Take your prompt caching implementation to the next level with advanced strategies, edge case handling, and production-ready patterns for high-volume applications.

Learn how MCP clients and servers work together by building a command-line chatbot. This hands-on tutorial demonstrates both sides of the MCP architecture through a practical document management system.

Stop using one-size-fits-all prompts. Learn how routing workflows categorize user requests and send them to specialized pipelines for better, more consistent results. Includes real-world examples and implementation best practices.