Can BlazeSQL suggest what to ask next?
BlazeSQL offered what to ask next after answering the revenue question. It ended the August 2026 revenue reply with “Would you like a breakdown by category, or any other analysis?”, so the capture shows one specific follow-up rather than only a generic closing.
1 of 1 test case passed
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Suggested next questions after an answerPassEvidence
“As of September 2, 2026, what was our total revenue last month?”
Total revenue for August 2026 came in at $17,745.02 USD (excluding cancelled orders). Would you like a breakdown by category, or any other analysis?
Transcribed from Proof 1 · Screenshot
1 SELECT 2 SUM(total_amount) AS total_revenue, 3 currency 4 FROM orders 5 WHERE 6 placed_at >= '2026-08-01' 7 AND placed_at < '2026-09-01' 8 AND status != 'cancelled' 9 GROUP BY currency
Transcribed from Proof 1 · Screenshot
These are scenario-level criteria. Each test case's Expected and Found are listed separately.
- 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.
| ✓ | Found: It ended with a specific category breakdown suggestion answerable from the same database. |
After answering the revenue question, the tool offered a specific category breakdown follow-up. That suggestion is answerable from the same database and matches the expected behavior.
Inline follow-up suggestion. The suggestion appears inline in the answer text rather than as separate chips or buttons.
Single bundled follow-up. Only one follow-up is offered, bundled with a generic "or any other analysis" clause.
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- Fail: at least one expected behaviour clearly didn't happen; the row says which and quotes the tool.
- Not gradable: our evidence couldn't settle the outcome (for example a record we needed is missing). It is never counted as a fail, and the row says what's missing.
Where this sits in the benchmark
This page is one cell of a larger study: one tool, one scenario. Only this benchmark's frame appears here.
| Level | Name | Scope |
|---|---|---|
| Benchmark | AI Database Agents → | 28 scenarios · 4 tools |
| Capability | Conversational Interaction → | |
| Scenario | The agent offers what to ask next → | |
| Tool | BlazeSQL → |
Global scenario definition → · Global capability definition → · BlazeSQL product page →
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