AI agents autonomously plan and execute tasks using memory, tools, and reasoning. This guide covers workflows for building effective agents, including planning, tool use, and verification. Explore development from exploration to deployment with a financial research agent example. Learn about governance and observability for confident deployment.
AI agents are the next frontier in software, but adoption is limited by inadequate tools and processes. Unlike traditional development, creating AI agents involves experimental workflows with unpredictable outcomes, requiring specialized evaluation, monitoring, and iteration.
This e-book guides building successful AI agents with observability tools and workflows. It covers agentic applications' key components and demonstrates implementation via a financial research agent. Key insights include:
Accelerate AI agent development with this e-book.
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