Adding a Semantic Layer to Agents Is Crucial
brucemacv · x · 2026-07-18
The author notes that the team's first major breakthrough with their agent came from the data team: they added a semantic layer, enabling it to understand the "source of truth" within the data warehouse and the relationships between tables.
The core conclusion is: to make an agent truly usable, you can't just feed it raw table structures; you must also provide clear context and an ontology. The author summarizes this as: Think Context and Ontology.
Related event: Building Enterprise Agents: Semantic Layers and Reduced Model Autonomy(3 posts)→
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