APEX-Agents · Management Consulting

World112-1_TK_02

0/1Fail

APEX-Agents task World112-1_TK_02 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 112.1Dual harnessGrader: rubric

Task IDtask_112defba78604abcb27f4afb573d8d05

WorldManagement Consulting World 112.1

Expected outputmessage_in_console

Published runs5 models · dual config

Task prompt

What the agent was asked to do

Can you do some benchmarking analysis of Impact with its 6 peers for 2024 US operations? Let me know the difference between the lowest average monthly revenue per batch passed and the highest average monthly revenue per batch passed of all the sites. You can allocate the yearly US revenue data from equally across all the respective sites and months to the monthly site operations data. The data in all of the PnLs is in $Ks. Let me know the answer in dollars rounded to the nearest $0.01. Reply to me here with exactly what I asked for.

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	0/1	Fail	Share page Public trace
Gemini 3.1 Pro	dual	0/1	Fail	Share page Public trace
GPT-5.4	dual	0/1	Fail	Share page Public trace
GPT-5.4 mini	dual	0/1	Fail	Share page Public trace
GPT-5.4 nano	dual	0/1	Fail	Share page Public trace

Grading rubric

Criteria and grader verdict (showcase run)

States that the difference between the lowest average monthly revenue per batch passed and the highest average monthly revenue per batch passed of all the sites in 2024 is $163,064.81
Fail
Evidence: <TEXT_RESPONSE> states “$163,064,810.29”. Assessment: The criterion requires stating the difference is “$163,064.81”; the response is larger by a factor of 1,000 and does not match the required dollar amount. Fail.