The era of drag-and-drop self-serve BI is over. Sprinkle's agent knows your domain model, picks the right metrics and assembles a governed dashboard — KPIs, charts, drill-downs and all — that you can ship as-is or refine in plain English.
The agent reads your semantic layer, the tables behind it and the metrics you've already defined — then chooses the right cut, the right chart and the right drill path. You review, edit in plain English, and ship.
The agent uses your warehouse schema, joins and the metric definitions you've already governed — no hallucinated columns, no invented numbers.
Trend questions get time-series, comparison questions get bars, share-of-total gets a donut. The agent picks; you can override anything.
"Split that by plan", "swap region for channel", "make it weekly." The agent updates the dashboard in place — every change is versioned and reviewable.
Sprinkle's agent doesn't guess. It reads the semantic layer your team has already governed — entities, relationships, metric definitions — and uses that as its source of truth. Same numbers as the Finance dashboard. Every time.
From prompt to shipped dashboard takes seconds, and every step is visible. The agent narrates its choices — which metric it pulled, which chart it picked, which filter it applied — so you can intervene at any point.
The first draft is rarely the last. Talk to the dashboard the way you'd talk to an analyst — split this, swap that, zoom in here. The agent applies the change, keeps the rest in place, and stays grounded in the same semantic layer.