AlekSystem Workflow Detail

Evaluation metric example: Categorization Workflow Solution

Evaluation metric example: Categorization

AI evaluation in AlekSystem This is a template for AlekSystem's evaluation feature.

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Workflow overview

Why this workflow matters

Relevant for managed services and support workflows.

AI evaluation in AlekSystem This is a template for AlekSystem's evaluation feature. Evaluation is a technique for getting confidence that your AI workflow performs reliably, by running a test dataset containing different inputs through the workflow. By calculating a metric (score) for each input, you can see where the workflow is performing well and where it isn't. How it works This template shows how to calculate a workflow evaluation metric: whether a category matches the expected one. The workflow takes support tickets and generates a category and priority, which is then compared with the correct answers in the dataset. We use an evaluation trigger to read in our dataset It is wired up in parallel with the regular trigger so that the workflow can be started from either one. More info Once the category is generated by the agent, we check whether it matches the expected one in the dataset Finally we pass this information back to AlekSystem as a metric

Best fit

Categories

AI/MLCommunication

Services

AI AgentOpenAI Chat ModelStructured Output ParserEvaluation

Use cases

support automation