AUTOMATION
Enable Agents to Evolve Semantic Data Models
Let agents create, edit, and learn from database models iteratively
Updated: 5/12/2026
Difficulty
hard
Time
1h
Use Case
Data analyst agents that improve their understanding of data by creating custom models and saving learnings
Popularity
0 views
About this automation
Configure SLayer to allow agents to not just query but actively evolve semantic models. Agents can create custom models from SQL or from queries on other models, edit columns/measures, and save natural-language memories linked to specific data entities.
How to implement
1
Set up SLayer with database connection
2
Enable agent write permissions on semantic layer
3
Configure agent to create custom models from SQL
4
Set up natural-language memory storage linked to models
5
Design agent prompts to suggest model improvements
6
Monitor schema drift and handle changes automatically