The agent offers what to ask next
After an answer, the product suggests follow-up questions grounded in the just-completed analysis.
What this scenario means
This scenario tests whether the product can move from answering to useful next-step guidance without losing the thread of the conversation. A good agent does not give generic prompts; it offers follow-up questions that fit the answer it has just given and reflect the same line of analysis. The hard part is staying relevant and concrete while being proactive, so the suggestions feel earned rather than bolted on.
What we evaluate
- Whether it offers follow-up questions after answering.
- Whether the suggestions are grounded in the answer just given and the analysis behind it.
- Whether the follow-up suggestions are specific to the conversation rather than generic prompts.
Capabilities this scenario exercises
A scenario may exercise one or more capabilities.
Conversational Interaction
Holds a working session rather than a series of isolated queries: context carried, questions refined, direction changed, ambiguity raised.
Benchmarks that use this scenario
A scenario has global identity and may be reused across benchmarks.
AI Database Agents
Which AI database agent answers business questions about a live relational database correctly — in the company's own terms, and honestly when the data cannot answer?