Can Botpress take a correction from a customer?
Botpress took a submitted correction in this scenario. The correction was entered and submitted, and the returned draft fix said it would omit the AI disclosure and keep the response focused; the capture stops before any applied answer is shown.
1 of 1 test case passed
Every test case in this scenario has a result.
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.
Submit a correction for one wrong answerPassEvidence
“No need to mention that you are Cedarline's AI assistant. Also, don't need to mention the return policy details. Keep the response related to query”
The tool's reply is shown in the evidence under Proof.
Response to input 1 (message 1 of 2) Asked Vibe to improve the flagged response Response to input 1 (message 2 of 2) Would you like to apply this draft fix?
Transcribed from Proof 1 · Screen recording at 1:32
Transcribed from Proof 1 · Screen recording at 1:40
| ✓ | Expected: The product takes the feedback/correctionFound: The correction was entered and submitted; Botpress acknowledged it by asking to improve the flagged response and returning a draft fix. |
The case required Botpress to take a correction. It did: the correction was entered, the submission progressed, and the product replied with a draft fix. The recording ends before any fixed answer is applied.
Draft fix covered edits. The draft fix covered both requested edits in its wording, but the recording stops before any applied answer is shown.
The capture stops at the draft-fix prompt, so the final answer is not shown.
The recording ends before any fixed answer is shown.
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.
How this scenario is graded
How we decide Pass, Fail and Not gradable. The same rules apply to every tool tested on this scenario.
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.
- 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.
| Level | Name | Scope |
|---|---|---|
| Benchmark | AI Customer Support Chatbots → | 26 scenarios · 13 tools |
| Capability | Feedback and learning → | |
| Scenario | Feedback can be submitted → | |
| Tool | Botpress → |
Global scenario definition → · Global capability definition → · Botpress product page →
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.
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.
You run the same kind of test against your own setup and get the same behaviour.
Agree →Yours behaves differently. Tell us what you got, with a screenshot if you have one.
Disagree →Something here is wrong — a reference value, a transcription, a grade.
Report an issue →Tell us what changed and we schedule a rerun of the failing test case. The old result stays as history.
Vendor notice →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.
File fingerprints (SHA-256)
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