Wrangler Context
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Osmos automatically analyzes inputs such as business documents and schema designs to generate Wrangler Context—a structured set of guidance used by AI Data Wranglers to perform accurate and efficient data wrangling. This context ensures that the AI operates with a clear understanding of the business and data requirements.
During Wrangler configuration, users provide relevant documentation that outlines business logic, code snippets for data transformation, examples of good and bad data, and other supporting knowledge articles. The Wrangler analyzes this information to automatically generate Context, which it uses to guide its behavior during data cleaning and transformation tasks. This ensures the Wrangler operates with domain-specific understanding and aligns with business rules.
Wrangler Context is automatically generated from your uploaded documentation and includes structured elements to guide data transformation. These components help ensure data quality, enforce business rules, and constrain AI behavior within the intended logic.
✅ Descriptors: Define and enforce schema-level constraints to ensure structural consistency across datasets.
✅ Instructions: Provide guardrails that guide the AI, ensuring transformations stay within defined constraints and follow business intent.
