eBook
Building Effective AI Agents
Engineering leaders building AI systems face a critical decision: when does a simple prompt-response pattern fall short, and when do you need autonomous agents that can reason, use tools, and adapt their approach?
Building Effective AI Agents: Architecture Patterns and Implementation Frameworks shares best practices and guidelines for building production-ready agentic systems. We'll cover single-agent designs, multi-agent orchestration, and agentic workflows, with real examples from companies like Coinbase, Intercom, and Thomson Reuters who are building and deploying these systems at scale.
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What you’ll learn
In this guide, we'll share practical guidance for organizations building agentic systems, including:
How to choose between single-agent, multi-agent, and workflow-based architectures
When to use sequential, parallel, and evaluator-optimizer patterns
How to match technical complexity to business value using our decision framework
Best practices for context management, modular design, and using Skills.
Real-world use cases across coding, customer support, legal, and financial services