LangSmith
    LangSmith vs Brizz

    Keep LangSmith.
    Add Brizz on top.

    LangSmith answers what the system did and where it broke technically. Brizz answers whether the agent actually worked. Different layers, different audiences, both useful.

    What LangSmith does

    LangSmith

    Step by step trace debugging for engineers. LLM as judge evals and experiments. Prompt management. The technical observability layer below the agent.

    What Brizz does

    Brizz

    The analytics layer on top of tools like LangSmith. Reads what users actually wanted, what the agent did about it, and which patterns to fix next. Built for the whole team, not just engineers.

    Feature by feature

    Where the analytics actually live.

    The capabilities that decide an agent analytics buy, scored on both sides.

    Capability
    LangSmith
    Brizz
    Conversation as the unit of analysis
    ×
    Automatic semantic intent detection
    ×
    Emerging intent detection with growth trends
    ×
    Automatic issue detection with impact scoring
    ×
    Agent Health Score
    ×
    Journey completion and satisfaction
    ×
    Closed loop, verify the fix worked
    ×
    Built for PM, exec, and builder
    ×
    Bottom line

    LangSmith tells engineers how the system ran. Brizz tells the whole team whether the agent worked. Keep LangSmith, add Brizz.

    Ready to see what LangSmith can't?

    Brizz turns every agent conversation into intel your whole team can act on.

    See the integrations