Structural AI features
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Tonic Structural currently offers the following AI features.
For information about the associated flows for these features, go to Data flow and privacy in Structural AI.
For information about how to configure LLM connections and usage, go to Structural Cloud LLM configuration or Self-hosted LLM configuration.
The Structural Agent is a chat-based AI assistant that helps you to configure your workspace for data generation.
During sensitivity detection, the LLM-based detection process uses the schema and, optionally, sample source data values to help to identify sensitive columns.
LLM-based sensitivity rules use the sensitivity rule description to identify matching columns.
They are processed during LLM-based sensitivity detection.
For the Custom Categorical generator, you can provide a prompt for the LLM to use to create the available values.
For example, 1,000 common pharmaceuticals.
For the Text Composition generator, you can provide a prompt for the LLM to use to create the template.
For example, Use the first character of the FIRST_NAME column, followed by a period and the value of the LAST_NAME column, followed by email.com, all lowercase.
When a data connection test fails, Structural displays an Ask AI prompt that sends a request to an LLM to troubleshoot the issue and suggest next steps.
Required workspace permission: Download job logs
For the the following types of jobs:
Sensitivity scans
Data generation jobs
Upsert jobs
Collection scans
The job details include Ask AI prompt that sends a request to an LLM to troubleshoot the issue and suggest next steps.
The Structural MCP server allows you to use AI clients such as Claude Code to interact with Structural using the same natural language prompts that you provide in the Structural Agent.
For information on how to set up access to the MCP server, go to Using the Structural MCP server.
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