APEX-Agents · Management Consulting
TaskWorld130_CamilleMoingeon_5
APEX-Agents task TaskWorld130_CamilleMoingeon_5 in AI Agents for Comparable Company Analysis. Compare dual-harness agent runs across models, scores, and public traces.
Task prompt
What the agent was asked to do
Using HarFeast's equipment data by location and quality losses dataset, we will consider all canned vegetables assets with a scrap rate > 5% and with unplanned downtime hours above the plant median for canned vegetables as "high-priority". 1. For the "high-priority" group, calculate the total annual quality-related losses (scrap + unplanned failure cost). If the quality losses dataset has a different product family label, ignore it. 2. Calculate the percentage of all canned-vegetable quality losses that comes from these "high-priority" assets. Print it here, numbers 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 Flash | dual | 2/2 | Pass | Run detailsPublic trace |
| Gemini 3.1 Pro | dual | 2/2 | Pass | Run detailsPublic trace |
| GPT-5.4 | dual | 2/2 | Pass | Run detailsPublic trace |
| GPT-5.4 mini | dual | 2/2 | Pass | Run detailsPublic trace |
| GPT-5.4 nano | dual | 2/2 | Pass | Run detailsPublic trace |
| GPT-5.5 | dual | 2/2 | Pass | Run detailsPublic trace |
Grading rubric
Rubric criteria
Runs are graded against these criteria. Open a run for model-specific verdicts.
States that the total annual quality-related losses for the "high-priority" group is $1,666,639
States that the percentage of all canned-vegetable quality losses that comes from these "high-priority" assets is 23%