APEX-Agents · Management Consulting
World135_SF_Task03
APEX-Agents task World135_SF_Task03 in AI Agents for Cross-Border Regulatory Review. Compare dual-harness agent runs across models, scores, and public traces.
Task prompt
What the agent was asked to do
Prepare a memo which identifies the delta (in basis points) between McKinsey (June State of Fashion report) and Lumea's (final market sizing model) 2030 projections for Global beauty sales by channel %. Match channels between Lumea and McKinsey's projections as follows: - Online_marketplace = Ecommerce - Mass_retail = Grocery / Big Box - Specialty_retail = Specialty / Mono Brands - Pharmacy = Drugstores / Pharmacy - Department_store = Department Stores Respond the information in a new Document docx. Give final answers rounded to the nearest whole number.
Published trajectories
Agent runs on this task
Curated dual-harness runs (parsed + original sandbox). Best scored run per model.
| Model | Harness | Score | Result | Links |
|---|---|---|---|---|
| Gemini 3.1 Pro | dual | 5/5 | Pass | Run detailsPublic trace |
| GPT-5.4 | dual | 5/5 | Pass | Run detailsPublic trace |
| GPT-5.4 mini | dual | 5/5 | Pass | Run detailsPublic trace |
| GPT-5.4 nano | dual | 5/5 | Pass | Run detailsPublic trace |
| GPT-5.5 | dual | 5/5 | Pass | Run detailsPublic trace |
Grading rubric
Rubric criteria
Runs are graded against these criteria. Open a run for model-specific verdicts.
States that the basis point difference for the Online_marketplace - Ecommerce category is -1604
States that the basis point difference for the Mass_retail - Grocery / Big Box category is 859
States that the basis point difference for the Specialty_retail - Specialty / Mono Brands is 603
States that the basis point difference for the Pharmacy - Drugstores / Pharmacy is 380
States that the basis point difference for the Department_store - Department Stores is 207