APEX-Agents · Management Consulting

World 127_HLV_Task 03

4/6Fail

APEX-Agents task World 127_HLV_Task 03 in AI Agents for Automotive EV Transition Strategy. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.

AI Agents for Automotive EV Transition StrategyManagement Consulting World 127Dual harnessGrader: rubric

Task IDtask_626333c69ffb46d0ad041a2dd6916fdf

WorldManagement Consulting World 127

Expected outputmessage_in_console

Published runs5 models · dual config

Task prompt

What the agent was asked to do

We want to understand the most important investment areas for pureplay EV respondents. The previous file contained incomplete information, so please use the newly attached updated file. Identify the #1 and #2 most important investment areas for pureplay EV respondents. Using only respondents who selected those two areas as their #1 and #2 priorities, calculate the average score for: (1) Relevance of legacy suppliers and (2) Level of redesign required. Then compare these average scores to the averages calculated using only Auto Parts respondents. Round all final scores to two decimal places and output the results to me here as a short message.

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	4/6	Fail	Share page Public trace
Gemini 3.1 Pro	dual	4/6	Fail	Share page Public trace
GPT-5.4	dual	4/6	Fail	Share page Public trace
GPT-5.4 mini	dual	4/6	Fail	Share page Public trace
GPT-5.4 nano	dual	4/6	Fail	Share page Public trace

Grading rubric

Criteria and grader verdict (showcase run)

States that Advanced materials is one of the two most important areas for investment
Pass
Evidence: TEXT_RESPONSE says “#1: Advanced materials.” Assessment: Criterion asks whether it states Advanced materials is one of the two most important areas; pass.
States that Manufacturing automation is is one of the two most important areas for investment
Pass
Evidence: TEXT_RESPONSE says “#2: Manufacturing automation.” Assessment: Criterion asks whether it states Manufacturing automation is one of the two most important areas; pass.
States that the average score for relevance of legacy suppliers for Pureplay EV respondents who selected at least one of the top two important areas for investments is 2.20
Fail
Evidence: TEXT_RESPONSE says “Relevance of legacy suppliers: 2.00 vs. Auto Parts average of 2.57.” Assessment: Criterion requires stating the Pureplay EV top-two-area subset average for relevance of legacy suppliers is 2.20; response states 2.00, so fail.
States that the average score for Pureplay EV respondents who selected at least one of the top two important areas for investments level of redesign required is 3.20
Fail
Evidence: TEXT_RESPONSE says “Level of redesign required: 3.00 vs. Auto Parts average of 2.79.” Assessment: Criterion requires stating the Pureplay EV top-two-area subset average for level of redesign required is 3.20; response states 3.00, so fail.
States that the average score for all Autoparts respondents for relevance of legacy suppliers is 2.57
Pass
Evidence: TEXT_RESPONSE says “Auto Parts average of 2.57” for “Relevance of legacy suppliers.” Assessment: Criterion requires the all Autoparts respondents average for relevance of legacy suppliers is 2.57; pass.
States that the average score for all Autoparts respondents for level of redesign required is 2.79
Pass
Evidence: TEXT_RESPONSE says “Auto Parts average of 2.79” for “Level of redesign required.” Assessment: Criterion requires the all Autoparts respondents average for level of redesign required is 2.79; pass.