APEX-Agents · Management Consulting

World132_PM_Task06

3/3Pass

APEX-Agents task World132_PM_Task06 in AI Agents for Consumer Growth Strategy. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.

AI Agents for Consumer Growth StrategyManagement Consulting World 132Dual harnessGrader: rubric

Task IDtask_acc3cd70bfb645b980259915903fa379

WorldManagement Consulting World 132

Expected outputmessage_in_console

Published runs5 models · dual config

Task prompt

What the agent was asked to do

We want to assess the net opportunity scores across markets. First, compute Market_Attractiveness_Index for each market. The formula is: 0.25* Average Sustainability_Score + 0.2* Average Revenue_CAGR_23_25_% + 0.15* Average Gross_Margin_% + 0.15* Average Formulation_Complexity_Score + 0.15* Average Ecommerce_Logistics_Maturity_Score - 0.1* Average Regulatory_Complexity_Score Next, calculate each competitor's share in the market (Competitive_Share_%). The formula is: (Revenue $M-2020 of the competitor / Sum of Revenue $M-2020 for all competitors in the market)*100 Also compute Competitive_Concentration_Index and Net_Opportunity_Score for each market. Respectively, the formulas are: Sum(Competitive_Share_%^2) across all competitors. Market_Attractiveness_Index - 0.004 * Competitive_Concentration_Index Round final calculations to 2 decimal places. Now, reply a short message to me with the following: 1. Which market has the highest Net_Opportunity_Score and what is its value? 2. What is the difference between the highest and lowest Net_Opportunity_Score markets?

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	3/3	Pass	Share page Public trace
Gemini 3.1 Pro	dual	3/3	Pass	Share page Public trace
GPT-5.4	dual	2/3	Fail	Share page Public trace
GPT-5.4 mini	dual	3/3	Pass	Share page Public trace
GPT-5.4 nano	dual	2/3	Fail	Share page Public trace

Grading rubric

Criteria and grader verdict (showcase run)

States that the market with the highest Net_Opportunity_Score is Mexico
Pass
Evidence: TEXT_RESPONSE says, “The highest Net_Opportunity_Score is Mexico at 31.90.” Assessment: Criterion requires stating that the highest Net_Opportunity_Score market is Mexico; pass.
States that the Net_Opportunity_Score of Mexico is 31.90
Pass
Evidence: TEXT_RESPONSE says, “Mexico at 31.90.” Assessment: Criterion requires stating Mexico’s Net_Opportunity_Score is 31.90; pass.
States that the difference between the highest and lowest Net_Opportunity_Score markets is 5.32
Pass
Evidence: TEXT_RESPONSE says, “The difference between the highest and lowest markets is 5.32 points.” Assessment: Criterion requires stating the difference is 5.32; pass.