LiveAI Agent Tracing: How to Design End-to-End Agent Traces
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How to Build an AI Agent

A practical architecture for building an AI agent with a model, tools, memory, permissions, and observability.

  1. STEP 01

    Define the job

    Start with the smallest useful implementation. Define inputs, outputs, dependencies, failure modes, and the boundary between automated actions and human decisions. Test one measurable outcome before expanding the system.

  2. STEP 02

    Choose the model

    Start with the smallest useful implementation. Define inputs, outputs, dependencies, failure modes, and the boundary between automated actions and human decisions. Test one measurable outcome before expanding the system.

  3. STEP 03

    Add tools

    Start with the smallest useful implementation. Define inputs, outputs, dependencies, failure modes, and the boundary between automated actions and human decisions. Test one measurable outcome before expanding the system.

  4. STEP 04

    Add state

    Start with the smallest useful implementation. Define inputs, outputs, dependencies, failure modes, and the boundary between automated actions and human decisions. Test one measurable outcome before expanding the system.

  5. STEP 05

    Secure it

    Start with the smallest useful implementation. Define inputs, outputs, dependencies, failure modes, and the boundary between automated actions and human decisions. Test one measurable outcome before expanding the system.

  6. STEP 06

    Test and observe

    Start with the smallest useful implementation. Define inputs, outputs, dependencies, failure modes, and the boundary between automated actions and human decisions. Test one measurable outcome before expanding the system.