Lena Devlin

AI agents API automation Build agents and API-driven pipelines that handle real tasks, connecting language models to tools, data, and the systems your work actually uses. This practical, hands-on guide takes you from beginner to pro, teaching you to automate real work with AI-no fluff, just code and results. You'll learn to design, deploy, and scale AI workflows that interact with databases, web services, and enterprise platforms, turning complex problems into automated solutions.
Whether you're a developer, data scientist, or tech lead, this book provides step-by-step tutorials, real-world examples, and best practices for integrating LLMs into your existing infrastructure. Master prompt engineering, function calling, and agent orchestration to create reliable, production-ready systems. By the end, you'll have the skills to build custom AI assistants, automate repetitive tasks, and connect AI to any API or data source.
This book stands out from competitors like [placeholder] and [placeholder] by focusing on practical implementation rather than theory. Perfect for professionals who want to move beyond chat interfaces and build real automation that saves time and drives results. Start automating your real work today. What You'll Learn Build AI agents that call APIs and process data Create multi-step automation pipelines Connect language models to databases and spreadsheets Implement error handling and retry logic for reliability Deploy agents to cloud or on-premises systems Who This Book Is For Developers, data engineers, and tech professionals who want to automate real tasks using AI.
No prior AI experience needed-just basic programming skills.