For each interaction, Zenera creates a reasoning graph that shows the AI's reasoning process. Reasoning graphs provide a visual structured representation of how the AI system receives input data, makes decisions and generates responses. Reasoning graphs enhance transparency and let you better understand the logic behind AI's actions.
Opening reasoning graphs
To open a reasoning graph, do either of the following:
- In Zenera Studio, go to Analytics, scroll down to Interactions widget and click the chart icon to the right of the necessary interaction.
- In Zenera Studio, open the Zenera Studio logs, make sure the Output filter is on and in the interactions list, click the chart icon to the right of the necessary interaction.
What reasoning graphs capture
Reasoning graphs capture all steps involved in the AI's decision-making. They include:
Data corpuses
Allow you to understand what input data sources are utilized in the reasoning process.
Dialog history
Enables you to track the dialog history, see asked phrases and the context in which they were posed.
Decision flows
Of the Action Transformer showcase how the AI model determines the appropriate actions based on the input data and dialog context.
Generated code and result
Blocks display the generated code and its corresponding result, providing insights into the computational processes underlying the AI's actions.
Output
Allows you to understand how the AI-Native Interface formulates its replies based on the input data and provided transforms.
Drilling down into details
When using a reasoning graph, you can drill down into a specific area of interest to view detailed reasoning data. To do so, click on the corresponding block in the graph.
Related Explainable AI tools
Access and examine data corpuses used by the AI-Native Interface
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