APEX-Agents · Management Consulting

World131_acd_task10

9/9Pass

APEX-Agents task World131_acd_task10 in AI Agents for Infrastructure Finance. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.

AI Agents for Infrastructure FinanceManagement Consulting World 131Dual harnessGrader: rubric

Task IDtask_5b0050f41fc9495fa8c34b69f1184418

WorldManagement Consulting World 131

Expected outputmessage_in_console

Published runs5 models · dual config

Task prompt

What the agent was asked to do

Take a look at our workforce distribution in the country where we've spent the most on OPEX from 2020-24. Knowing we need 2 line technicians per transmission line, 1 substation technician for each substation and transformer, 1 protection engineer for each sensor and breaker, and 1 maintenance planner who can split their time among 5 different assets. What's the total headcount we need for each role in that country? Put together a table with the country, the roles, current headcount, and total headcount needed. Round headcounts to the nearest whole number. Reply to me here.

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	9/9	Pass	Share page Public trace
Gemini 3.1 Pro	dual	9/9	Pass	Share page Public trace
GPT-5.4	dual	9/9	Pass	Share page Public trace
GPT-5.4 mini	dual	9/9	Pass	Share page Public trace
GPT-5.4 nano	dual	9/9	Pass	Share page Public trace

Grading rubric

Criteria and grader verdict (showcase run)

States the country with the highest OPEX over the past 5 years is Germany
Pass
Evidence: TEXT_RESPONSE states, “Germany is the country with the highest 2020–2024 OPEX total.” Assessment: Criterion asks whether it states the highest-OPEX country over the past 5 years is Germany; pass.
States the total current headcount of line technicians in Germany is 101
Pass
Evidence: In the table, row “Germany | Line Technician | 101 | 22.” Assessment: Criterion asks whether it states total current headcount of line technicians in Germany is 101; pass.
States the total current headcount of maintenance planners in Germany is 67
Pass
Evidence: In the table, row “Germany | Maintenance Planner | 67 | 9.” Assessment: Criterion asks whether it states total current headcount of maintenance planners in Germany is 67; pass.
States the total current headcount of protection engineers in Germany is 67
Pass
Evidence: In the table, row “Germany | Protection Engineer | 67 | 13.” Assessment: Criterion asks whether it states total current headcount of protection engineers in Germany is 67; pass.
States the total current headcount of substation technicians in Germany is 93
Pass
Evidence: In the table, row “Germany | Substation Technician | 93 | 22.” Assessment: Criterion asks whether it states total current headcount of substation technicians in Germany is 93; pass.
States the total headcount needed for line technicians in Germany is 22
Pass
Evidence: In the table, row “Germany | Line Technician | 101 | 22.” Assessment: Criterion asks whether it states total headcount needed for line technicians in Germany is 22; pass.
States the total headcount needed for maintenance planners in Germany is 9
Pass
Evidence: In the table, row “Germany | Maintenance Planner | 67 | 9.” Assessment: Criterion asks whether it states total headcount needed for maintenance planners in Germany is 9; pass.
States the total headcount needed for protection engineers in Germany is 13
Pass
Evidence: In the table, row “Germany | Protection Engineer | 67 | 13.” Assessment: Criterion asks whether it states total headcount needed for protection engineers in Germany is 13; pass.
States the total headcount needed for substation technicians in Germany is 22
Pass
Evidence: In the table, row “Germany | Substation Technician | 93 | 22.” Assessment: Criterion asks whether it states total headcount needed for substation technicians in Germany is 22; pass.