Changelog

LLM Quality Inspector Agent (Chuck)

We’ve added Agentic Checks, powered by our new LLM inspector, Chuck.

Chuck identifies contradictions in your survey that typically only a human reviewer would catch. He does this by analyzing your survey structure and automatically grouping questions that should be evaluated together — including funnels, opposites, repeated brand sets, and behavioral sequences. For each group, Chuck:

• Provides a short explanation of why the questions were grouped
• Allows you to review or edit the grouping
• Check each respondent for contradictions or logically inconsistent answer patterns

This update adds deeper context checks with no manual configuration.

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Updates to Fairgen Check

Based on Beta feedback, we’ve released several workflow and clarity improvements:

• XLSX downloads for quick offline analysis
• Manual check/uncheck controls for adjusting flagged respondent selections
• Improved live preview tables that highlight anomalies more clearly
• Shorter, clearer flag explanations to make decisions easier

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REST API for Boost Generation

You can now run Fairgen Boost fully through our REST API.

The API supports:

• Dataset upload
• Structure upload
• Niche selection
• End-to-end Boost generation

This allows automated or large-scale workflows without using the UI.

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Decipher XML Support

Fairgen now accepts XML survey structure uploads.

Our autodetection algorithm reads the XML file and automatically identifies derived variables/ recodings. This removes the need for manual recode setup and reduces opportunities for configuration errors.

Upload the XML and Fairgen handles structure interpretation automatically.