Scenario in benchmark · Version 1

Customer corrects information given earlier

A later correction supersedes earlier information for the rest of the interaction.

How the tools performed

Every in-scope tool is visible. Outcomes come from current published Results for this scenario and benchmark version.

Publication availability: 2 tools have a current published Result.

No published result does not tell you whether a tool has been tested. Test coverage is shown only for comparable published Results.

ToolPublished outcomesTest coverageResult
Published Results · alphabetical, not ranked
Botpress
1 Pass0 Fail0 Not gradable
1 of 1 test case passed
1 of 1 assessed1 of 1 gradableView Result →
Zendesk AI
1 Pass0 Fail0 Not gradable
1 of 1 test case passed
1 of 1 assessed1 of 1 gradableView Result →
No published result · alphabetical
Ada——No published result
Chatbase——No published result
CustomGPT.ai——No published result
Decagon——No published result
Freshdesk Freddy——No published result
FS Agent (DIY control)——No published result
Gorgias——No published result
Help Scout——No published result
Intercom Fin——No published result
Kommunicate——No published result
Tidio Lyro——No published result

Assessed = Pass + Fail + Not gradable. Gradable = Pass + Fail. Both use the published Result’s pinned-test denominator. — means not publicly available.

Test design

Pinned test cases
1
Disclosure
0 public · 1 withheld
Capabilities exercised here
Conversation continuity

What this scenario evaluates

  • Whether the later correction replaces the earlier detail in later turns.
  • Whether the response reflects only the corrected information, not a mix of old and new details.
  • Whether the agent does not continue reasoning from the superseded detail after the correction.

Exact wording, inputs, fixture state, expected output and detailed grading remain at the test-case level and may be withheld while the benchmark version is active. The scenario and its evaluation intent are public.

How the results are graded

  • Pass: the test-case expectations hold.
  • Fail: an expectation demonstrably does not hold.
  • Not gradable: the evidence cannot establish the outcome.

Version 1 uses test-case expectations; no scenario rubric is pinned.

Benchmark methodology →
Customer corrects information given earlier in AI Customer Support Chatbots | AI Demos