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Graded 14 September 2026

Does FutureSmart Database Agent find the right rows when the user's wording doesn't match how the values are stored?

FutureSmart Database Agent failed to bridge the user's wording to the stored value, and it returned an empty answer as if it were a fact. The generated SQL searched only for gift voucher phrasing and never referenced gift_card, while the answer text said no matching orders existed and suggested broadening the search. The capture cannot show table contents, so the stored values themselves were not visible.

1 of 1 test case failed

Every test case in this scenario has a result.

Pass rate0%0 of 1 with a result
Coverage1 of 1test cases with a result
0PassNo test case passed.
1FailMissed at least one thing it was expected to do; the reason and proof are on the row.
0Not gradableEvery result here could be graded.
0UntestedEvery test case in this scenario has a result.
The pass rate is a summary. The evidence is the test case below: what we sent, what we checked, what the tool returned, and the proof.

The test case

Each test case is judged on its own: Pass, Fail, Not gradable, or Untested. The scenario result above counts this row.

Category asked by the user's synonymFailEvidence
What we sent

“Show me all orders paid with a gift voucher.”

What the tool returned
Native output code
SELECT id, customer_id, status, delivery_address, total_amount, currency, category, item_summary, city, state, postal_code, payment_method, shipping_cost, discount_total, carrier, tracking_number, placed_at, shipped_at, delivered_at, estimated_delivery, refunded_at, order_number FROM orders WHERE payment_method ILIKE '%gift_voucher%' OR payment_method ILIKE '%gift voucher%' OR payment_method ILIKE '%voucher%' LIMIT 10

Transcribed from Proof 1 · Screenshot

Expected vs. Found
What this scenario evaluates

These are scenario-level criteria. Each test case's Expected and Found are listed separately.

  • Whether it maps a natural synonym to the stored value it represents.
  • Whether it returns the matching records rather than treating the question as unanswered.
  • Whether it treats the wording difference as a translation problem, not as missing data.
How this scenario is judged →
✗Found: The answer presented no results instead of returning the matching records.
Supporting proof
Proof 1Screenshot
Chat UI screenshot showing a gift-voucher search, generated SQL, and a no-results answer.
Open original ↗
Why this result

The product searched only literal gift-voucher variants and answered that no results existed, instead of finding the stored matching value. The capture shows the generated SQL, the no-results answer, and no result grid or row count.

Also observed on this row

Follow-up search suggestion. The answer suggested checking payment_method values or broadening the search criteria.

Tested by Ayush Ghosh · evidence dated 8 September 2026

Configuration and setup

How this tool was set up for the run and what the test needed in place. Each row is a fact from the run's records; a fact the records do not hold is left out, not guessed.

Software that produced the output
FutureSmart Database Agent
Set up before the run
A categorical column held a value that was a widely understood synonym of the user's word, and no synonym mapping was available.
Tested
By 8 September 2026 · Ayush Ghosh

How this scenario is graded

How we decide Pass, Fail and Not gradable. The same rules apply to every tool tested on this scenario.

How results are decided

Each test case gets one result per tool: Pass, Fail or Not gradable. A test case we haven't run yet shows Untested. There are no partial results.

The rules
  • Pass: the tool did everything the test expected, and nothing it said contradicts the correct answer.
  • 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

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History of this result

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from the publication record
30 September 2026First publishedAI Database Agents v1

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This matches what I see

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This does not match

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Disagree →
Point out an issue

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We have fixed this

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Vendor notice →
Filed against this evidenceNothing yet. Challenges, counter-evidence and fix notices appear here with their outcome, and stay on the page after they are resolved.
Cite this result
aidemos.com/benchmarks/ai-database-agents/results/futuresmart-ai-database-agent/the-users-wording-doesnt-match-how-the-values-are-stored · 0 pass · 1 fail · coverage 1/1 · graded 2026-09-14

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Verify the proof files

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Proof 1 · Screenshot ↗image/png · 83 KB
File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Proof 1 · Screenshot31816033725dd6fbd9ada3c1c7fb1a2d9059bef4e942be2f2de9842757bd87a8