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APEX-Agents · Management Consulting

World130_Al-Zhoheir_Hajim_2

0/8Fail

APEX-Agents task World130_Al-Zhoheir_Hajim_2 in AI Agents for Comparable Company Analysis. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.

AI Agents for Comparable Company AnalysisManagement Consulting World 130Dual harnessGrader: rubric
Task IDtask_908a5e7cd4fe4994a47cb2c8c0fbf53f
WorldManagement Consulting World 130
Expected outputmessage_in_console
Published runs5 models · dual config

Task prompt

What the agent was asked to do

1. What is the digital lever that Sarah Jenkins, David Chen, and Mike Russo agree will deliver the fastest and biggest boost to HarFeast's Gross Margin? 2. Assuming HarFeast adopts the chosen digital lever, determine the OEE level in the first full year in each plant location where the annual OEE value exceeds the world-class target. Assume OEE rates stay constant until the investment start dates (Jan 2026 for plants in the East North Central region; Jan 2027 for others) and that the % annual OEE improvement begins in the same year HarFeast starts investing/executing the initiative (the first investment year counts as Year 1 such that Year 1 Value = Baseline * (1 + Rate))). Use the relative % annual OEE increase mentioned in the interviews for each year thereafter. If multiple % annual OEE increase figures are given in the interviews, use the highest figure. 3. For the two plant locations with the highest OEE level, what is the calendar year in the first full year where the annual OEE value exceeds the world target? Give me your answers printed back here as a short response, with values rounded to the nearest hundredth of a percent.

Published trajectories

Agent runs on this task

Curated dual-harness runs (parsed + original sandbox). Best scored run per model.

ModelHarnessScoreResultLinks
GPT-5.5showcasedual0/8FailShare pagePublic trace
Gemini 3.1 Produal1/8FailShare pagePublic trace
GPT-5.4dual8/8PassShare pagePublic trace
GPT-5.4 minidual1/8FailShare pagePublic trace
GPT-5.4 nanodual1/8FailShare pagePublic trace

Grading rubric

Criteria and grader verdict (showcase run)

  1. States that the digital lever with the fastest and biggest impact on gross margin based on the expert interviews for value creation is IoT Sensors for Yield

    Fail

    Evidence: <TEXT_RESPONSE> only says, “The direct text index did not contain the workbook/docx contents...” and does not identify any digital lever. Assessment: Fails criterion requiring the response to state the lever is “IoT Sensors for Yield.”

  2. States that the OEE level for the Rockford, Illinois location in the first full year where the annual OEE value exceeds the world class target is 86.49%

    Fail

    Evidence: <TEXT_RESPONSE> contains no OEE values or plant-specific results. Assessment: Fails criterion requiring Rockford, Illinois OEE level of 86.49%.

  3. States that the OEE level for the Madison, Wisconsin location in the first full year where the annual OEE value exceeds the world class target is 92.13%

    Fail

    Evidence: <TEXT_RESPONSE> contains no OEE values or plant-specific results. Assessment: Fails criterion requiring Madison, Wisconsin OEE level of 92.13%.

  4. States that the OEE level for the Cedar Rapids, Iowa location in the first full year where the annual OEE value exceeds the world class target is 94.66%

    Fail

    Evidence: <TEXT_RESPONSE> contains no OEE values or plant-specific results. Assessment: Fails criterion requiring Cedar Rapids, Iowa OEE level of 94.66%.

  5. States that the OEE level for the Toledo, Ohio location in the first full year where the annual OEE value exceeds the world class target is 85.59%

    Fail

    Evidence: <TEXT_RESPONSE> contains no OEE values or plant-specific results. Assessment: Fails criterion requiring Toledo, Ohio OEE level of 85.59%.

  6. States that the OEE level for the Kalamazoo, Michigan location in the first full year where the annual OEE value exceeds the world class target is 94.97%

    Fail

    Evidence: <TEXT_RESPONSE> contains no OEE values or plant-specific results. Assessment: Fails criterion requiring Kalamazoo, Michigan OEE level of 94.97%.

  7. States that the first full year when the annual OEE value for the Cedar Rapids, Iowa location exceeds the world-class target is 2032

    Fail

    Evidence: <TEXT_RESPONSE> contains no calendar years or Cedar Rapids result. Assessment: Fails criterion requiring first full year for Cedar Rapids to exceed the target is 2032.

  8. States that the first full year when the annual OEE value for the Kalamazoo, Michigan location exceeds the world-class target is 2031

    Fail

    Evidence: <TEXT_RESPONSE> contains no calendar years or Kalamazoo result. Assessment: Fails criterion requiring first full year for Kalamazoo to exceed the target is 2031.