AI Suggestions
When you create a connection, Tepun AI analyzes your schema and generates a focused set of decision-oriented suggestions for datasets, reports, visualizations, and workbooks.
How Suggestions Work
Tepun AI Report Builder examines your database structure:
- Table Analysis: AI identifies what each table likely contains
- Relationship Mapping: Foreign keys reveal how data connects
- Pattern Recognition: Common patterns (orders, customers, products) are recognized
- Metric Discovery: Numeric columns that could be aggregated are identified
Types of Suggestions
Dataset Suggestions
Useful table combinations for common reporting needs.
Visualization Suggestions
Chart ideas based on metrics and dimensions in your data.
Data Report Suggestions
Tabular reports for detailed data exploration.
Workbook Suggestions
Complete dashboard concepts organized as headline KPIs, a primary trend, diagnostic breakdowns, and an optional action table.
Using Suggestions
- Navigate to Connection — Open the connection detail page
- Browse Suggestions — Review the concise, schema-grounded cards; complete workbook ideas appear first
- Select a Request — Click a card to place its request in the Ask AI box
- Build with AI — Review or edit the request, then start the build
- Customize — Modify the created item to fit your exact needs
Regenerate Suggestions: Click "Regenerate Suggestions" to have Tepun AI create fresh ideas, especially useful after schema changes or when you want new business themes. A regenerated batch avoids prior titles where possible.
Learn how to manage your connections.