You just ask. "What were our top five churned accounts last quarter, and what did they have in common?" Supper handles the rest. No need to know which table holds the data, how the joins work, or what your revenue field is called in the database. If a question could mean more than one thing, the agent clarifies before it calculates.
Any question a competent analyst could answer, asked however you'd naturally phrase it
No SQL, no filters, no dropdown menus
Handles follow-up questions with full awareness of what you've already asked
Supper doesn't just return a number. It shows the reasoning, the code that ran, and the sources it pulled from. You can inspect it, challenge it, or hand it to your data team. Anyone can see the work.
Step-by-step reasoning visible for every answer
The underlying SQL or Python query is always accessible
Full audit trail: who asked, when, what ran, what returned
The agent holds the full context of your conversation. Ask a question, then drill in: "break that down by region," "show me just enterprise accounts," "what changed since last month?" No starting over. The agent also flags things worth investigating, like an unusual pattern or a segment behaving differently from the rest.
Full conversation memory within a thread, you’ll never have to re-explain context
Follow-up questions work exactly as you'd expect
The agent surfaces patterns worth looking at, without you having to ask
What it powers
The agent gives the right answers because every question runs through a semantic model built for your business. Your definitions, not generic SQL.
Turn any agent conversation into a recurring report. Schedule it, automate it, and stop asking the same question twice.