AI with Kamran

Why create and maintain a semantic layer in your data stack? It's never been easier to connect agents to your databases. But add more complexity - more users, bigger and messier databases, an existing web of metrics, dashboards, shared understanding - and reliability and governance get a lot harder. A semantic layer helps you define your key metrics and how agents can leverage and combine them to build reliable data analysis. Existing semantic layers can be painful to maintain and too rigid for agentic use cases. After struggling with those, the team at Motley built one: SLayer, open-source, maintained with agents and built for agentic interaction. Test out the hosted version here: Code is open-source, check it out on GitHub: