Series 2: Agent Development and Tool Use
This series focuses on agents: tools, protocols, orchestration, and durable state.
Articles in This Series
- Article 71: Introduction to AI Agents and Tool-Using Systems
- Article 72: The Model Context Protocol (MCP): Connecting LLMs to Tools
- Article 73: Building Agents with Function Calling
- Article 74: Creating Multi-Agent Systems and Workflows
- Article 75: Agent Memory and State Management
Series Overview
This series focuses on agents: tools, protocols, orchestration, and durable state.
Learning Objectives
By the end of this series, you will:
- Understand the core ideas behind: Introduction to AI Agents and Tool-Using Systems
- Apply structured prompting/context patterns from the middle lessons in realistic scenarios
- Anticipate failure modes common to lessons such as Agent Memory and State Management
Prerequisites
Earlier chapters in this book (recommended reading order from docs/README).