Talking to Your Data: What MCP Doesn't Solve
Every AI platform is racing to ship data connectors, but "talk to your data" hides five distinct jobs — and only one of them is the AI writing SQL. This episode traces what actually happens between a question and a valid query: schema ingestion, semantic grounding, query generation, execution with error feedback, and interpretation back to language. We look at why a semantic layer beats raw text-to-SQL by sixteen points on the same model, how agentic loops with actor-critic and execution feedback close the correctness gap, and whether specialized NL-to-SQL models still earn their place…
The skinny
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