AI is coming to Tabular Editor 3

Published: | Updated:
Picture of Søren Joensen
CEO

Søren Joensen is CEO at Tabular Editor. You’ll often find him engaged in a conversation about how we can make Tabular Editor even better, both as a tool for the data community and as a workplace for the Tabular Editor team.

AI is becoming part of everyday semantic model development. In Tabular Editor 3, we want that assistance to be practical, optional, and controlled by the user.

Introducing the AI Assistant

We’re introducing an AI assistant directly inside Tabular Editor 3. It is a context-aware assistant that can interact with your semantic model and execute C# scripts on your behalf, while keeping the proposed changes visible in the tool where you already work.

Screenshot of Tabular Editor 3 AI Assistant

Why we’re building this

AI is most useful in Tabular Editor when it works through the same mechanisms that experienced model developers already trust. The important mechanism here is C# scripting.
LLMs are often useful for generating C# code, and in Tabular Editor, scripts can modify every aspect of a semantic model with full undo support (Ctrl+Z) if the result isn't what you expected. The assistant doesn't get a separate, hidden way to change model metadata. It works through scripts, so the intended changes remain visible, easy to review, and under your control.

What the AI Assistant will do

The assistant won’t just write scripts – it will support you across many tasks, such as:

  • Guidance and instructions for semantic model development, pointing you to relevant UI elements or features.
  • DAX code suggestions that can answer complex business questions based on your current model.
  • Error and warning analysis, helping you troubleshoot issues quickly.
  • Creating Best Practice Rules and reusable C# script macros.

Screenshot of the resulting C# script from using the AI assistant

The assistant is also designed to stay out of the way. If you don't want to use it, you can continue working in Tabular Editor as you do today.

Privacy comes first

Trust is critical when working with sensitive models and data. That’s why this feature is being built as a bring-your-own-LLM assistant. You decide which LLM provider to use, so data processing stays between you and your chosen provider.

What’s next?

The AI assistant is still in development. Over the coming weeks, we’ll share more details about how it works, how to configure it, and which modelling tasks it can help with.

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