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Modern software development is AI-assisted, but building reliable data models requires more than a generic coding LLM. A general-purpose AI that can write Python or Javascript doesn’t understand the unique context of your business or the subtle complexities of your data. Credible’s approach is different. Our AI co-pilot is a specialist, not a generalist, designed specifically for the task of semantic modeling.

Going Beyond Generic AI That Guesses

The quality of an AI’s output is determined by the quality of its context. Don’t settle for a generic AI that guesses. Credible’s intelligence goes deeper, building a comprehensive and nuanced understanding of your business by indexing your entire data ecosystem:
  • Database Schemas: It understands your tables, columns, and data types.
  • Data Patterns: It analyzes the data itself to understand distributions and relationships.
  • SQL Query Logs: It learns from the queries your team is already running, identifying common joins and business logic that may not be formally documented.
  • Existing Semantic Models: It learns from the work you and your team have already done in Credible.
This enriched semantic foundation is what makes your data truly AI-ready. It allows our co-pilot to provide intelligent, context-aware suggestions for joins, calculations, and documentation that are far more reliable than what a generic tool can provide. It’s the difference between a helpful suggestion and a confident, trustworthy one.

An Integrated Co-pilot for a Tighter Workflow

Our AI co-pilot is not a separate chatbot; it’s a deeply integrated part of the modeling experience within VS Code. It accelerates your workflow by turning modeling into a tight, interactive loop:
  1. Generate: Ask the AI to create a new measure, add a description, or model a new source.
  2. Refine: Review the AI-generated suggestion and make any necessary edits.
  3. Validate: Instantly run a query against the model to validate that the new logic is correct.
This turns what was once a manual, error-prone task into a fast, collaborative process between the developer and a highly specialized AI assistant.

Next Steps

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