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Agents

Build an operating model for AI agents that connects development, tool use, evaluation, tracing, and production feedback.

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The AI agent lifecycle

Explore the development, evaluation, and observation loop.

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  1. How to evaluate AI agents

    Define success for outcomes, actions, and efficiency.

  2. AI agent tracing: How to debug tools, loops, and handoffs

    Follow model calls, tool use, loops, and handoffs.

  3. MCP observability: Monitor tools, resources, and context

    Inspect context and operations across MCP clients and servers.

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