A practical 
 guide to 
 building agents Contents What is an agent? 4 When should you build an agent? 5 Agent design foundations 7 Guardrails 24 Conclusion 32 2 Practical guide to building agents Introduction multimodality, and tool use have unlocked a new category of LLM-powered systems known as agents. This guide is designed for product and engineering teams exploring how to build their first agents, distilling and effectively. After reading this guide, you’ll have the foundational knowledge you need to confidently start building your first agent. 3 A practical guide to building agents What is an agent?

right sequence of tokens. Prompt engineering is the process of designing high-quality prompts that guide LLMs to produce accurate outputs. This process involves tinkering to find the best prompt, optimizing System, contextual and role prompting System, contextual and role prompting are all techniques used to guide how LLMs generate text, but they focus on different aspects: • System prompting sets the overall capabilities and overarching purpose. • Contextual prompt: Provides immediate, task-specific information to guide the response. It’s highly specific to the current task or input, which is dynamic. • Role prompt:

other agents to get things done. We’ll continue to report back from the front lines of AI to help guide your own thinking. Product Note: Operator Operator is an example of OpenAI’s agentic approach

interconnects.ai/p/deepseek-r1-recipe-for-o1 https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-mixture-of- experts 教程作者：郭震，工作 8 年目前美国 AI 博士在读，公众号：郭震 AI，欢迎关注获取更多原创教程。资 料用心打磨且开源，是为了帮助更多人了解获取

than move slowly and miss the moment. We’ll be rolling out a few constructive constraints to help guide this shift…: • …AI use will be part of what we look for in hiring • AI use will be part of what