AI Demos Research — the structured-intelligence platform. Every verdict on these pages opens to the execution behind it.
Graded 31 October 2026

Does Dot update its answer when a customer corrects earlier information?

Dot updated its answer when the customer corrected July to June. The corrected reply gave 11 June orders and the query limited the count to June; the earlier July turn was 18 against a reference of 19 and was not the graded one.

1 of 1 test case passed

Every test case in this scenario has a result.

Pass rate100%1 of 1 gradable
Coverage1 of 1test case with a result
1PassDid everything it was expected to do.
0FailNo test case failed.
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 is based on this test case.

Corrected period replaces the originalPassEvidence
What we sent

Input 1: “How many orders did we get in July 2026?”

Input 2: “Sorry, I meant June 2026.”

What the tool returned

Response 1 answers Input 1.

Response 2 answers Input 1.

Response 3, the final response, answers Input 2.

Response 4 is the query the tool generated for Input 2; it is not part of the answer.

We received 11 orders in June 2026 in the customer-support database, including all statuses ¹.

Transcribed from Proof 2 · Screenshot

Every message the tool sent, in order (4)
  1. Response to input 1 (message 1 of 2)

    We received 18 orders in July 2026 in the customer-support database, including all statuses ¹.

  2. Response to input 1 (message 2 of 2)

    The separate order-tracking database is disconnected, so I couldn't check it. I flagged the connection for review:

  3. Final response

    The final response, printed above.

  4. Generated query for input 2 · not part of the answer
    SELECT
      COUNT(*) AS total_orders
    FROM customer_support_db.public.orders
    WHERE placed_at ≥ '2026-06-01 00:00:00+00'
      AND placed_at < '2026-07-01 00:00:00+00'
Expected vs. Found
✓Expected: Use the corrected period only, not the original or both together.Found: Dot answered 11 June orders only; the query covered June alone and excluded July.
Supporting proof
Proof 1Screenshot
First turn: July count and disconnected comparison database
Open original ↗
Proof 2Screenshot
Second turn: June correction, answer, and June-only query
Open original ↗
Why this result

The corrected reply had to replace July with June alone. Dot answered 11 June orders, and the query bounded the count to June, so it did not keep July or combine periods.

Also observed in this test case

June match. The corrected June answer matched the reference count exactly.

July shortfall. The first July answer was one lower than the reference count and came on the earlier turn.

Disconnected database. Dot said the order-tracking database was disconnected and flagged the gap in a draft proposal.

Tested by Anchal Rana · evidence dated 17 October 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
Dot
Build or version
Not exposed by the hosted product
Plan or tier
Free
Surface
Web app
Set up before the run
Both periods needed data, and they had to produce different counts.
Energy mode
Balanced
Workspace
Production
Tested
17 October 2026 · Anchal Rana

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 test case's result says which one 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 test case's result 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.

History of this result

What has happened to this result since it was first published. Runs and grades are never overwritten: a retest or a re-grade publishes a new result and keeps the earlier one readable.

from the publication record
1 November 2026First publishedAI Database Agents v1

Act on this result

Nothing filed here edits the run or the grade. A challenge opens a review, and a review can produce a new run or a re-grade — which becomes the current result and leaves this one in the history.

This matches what I see

You run the same kind of test against your own setup and get the same behaviour.

Agree →
This does not match

Yours behaves differently. Tell us what you got, with a screenshot if you have one.

Disagree →
Point out an issue

Something here is wrong — a reference value, a transcription, a grade.

Report an issue →
Request a retest

On a newer build, a larger dataset, or your own setup.

Request a retest →
We have fixed this

Tell us what changed and we schedule a rerun of the failing test case. The old result stays as history.

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/dot/customer-corrects-information-given-earlier · 1 pass · 0 fail · coverage 1/1 · graded 2026-10-31

The same record is available as structured data through the AI Demos MCP server, with the counts, the coverage and every per-test-case reason carried as fields.

Verify the proof files

These files support this result. Open a file to inspect the original evidence.

Proof 1 · Screenshot ↗image/png · 131 KB
Proof 2 · Screenshot ↗image/png · 109 KB
File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Proof 1 · Screenshot542299029323d7fd1201c847793e93c97345255eaa88104a1cbe7bdaaf5ef934
Proof 2 · Screenshotd2439ca451d0c00b24e00368963acd6b1e9b6aa35ce2690e69867ca55df2031e