- Welcome
-
Course Overview
- Creating & Editing with SpotterModel
-
Creating a Model with SpotterModel 6 min
-
Editing a Model with SpotterModel 4 min
-
Adding Formulas with SpotterModel 4 min
- Review
-
Review 10 min
-
Knowledge Check 5 min
-
Feedback
Semantic Models with SpotterModel
Learn to use ThoughtSpot's AI modeling agent to build, refine, and prepare semantic data models using natural language.
SpotterModel is ThoughtSpot's AI agent for building and refining semantic data models — and this course shows you how to use it end to end.
You'll learn how SpotterModel accelerates the modeling process by automating table selection, join creation, and column configuration based on your business use case, while keeping you in control at every step through reviewable decisions, confidence scoring, and the ability to switch seamlessly between guided and manual work.
By the end of this course, you'll be able to:
- Create a new semantic model using SpotterModel, including selecting tables, generating joins, and choosing columns
- Edit an existing model by refining it in natural language — making it AI-ready for Spotter and other agents
- Add formulas to a model by describing your business logic in plain language and letting SpotterModel write and suggest the expressions