APEX-Agents · Management Consulting

Task unc2be9c - EM

1/2Fail

APEX-Agents task Task unc2be9c - EM in AI Agents for Hospitality Loyalty Strategy. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.

AI Agents for Hospitality Loyalty StrategyManagement Consulting World 133Dual harnessGrader: rubric

Task IDtask_8f47fc64814943c2a782a2b8704a3ba3

WorldManagement Consulting World 133

Expected outputmessage_in_console

Published runs5 models · dual config

Task prompt

What the agent was asked to do

Was the data Ecan provided during the meeting (noted in the team sync-up from 11/21/25) on the number of members that have stayed during Q3 2025 correct? Use our data from the 11/17 stay and booking data to assess it. Report here if Ecan provided the correct data or not. If not, give the correct value.

Published trajectories

Agent runs on this task

Curated dual-harness runs (parsed + original sandbox). Best scored run per model.

Model	Harness	Score	Result	Links
GPT-5.5showcase	dual	1/2	Fail	Share page Public trace
Gemini 3.1 Pro	dual	1/2	Fail	Share page Public trace
GPT-5.4	dual	1/2	Fail	Share page Public trace
GPT-5.4 mini	dual	1/2	Fail	Share page Public trace
GPT-5.4 nano	dual	1/2	Fail	Share page Public trace

Grading rubric

Criteria and grader verdict (showcase run)

States that the data provided by Ecan is incorrect
Pass
Evidence: <TEXT_RESPONSE> states, “No — Ecan’s figure was not correct” and “Ecan’s figure was not correct.” Assessment: The criterion asks whether the response states that Ecan’s data is incorrect; pass because it clearly does so.
States that the number of member stays in Q3 2025 is 76
Fail
Evidence: <TEXT_RESPONSE> states “Correct value: 321 members.” Assessment: The criterion asks whether the response states that the number of member stays in Q3 2025 is 76; fail because the response gives 321, not 76.