Raycaster/ Eval

APEX-Agents

gpt-5.4-nano on World127_AK_Task03

10/10Pass
Domain
Management Consulting
Category
AI Agents for Commercial Contract Risk
Harness
dual

Grader rubric

Criteria verdict

  1. States weighted average gross margin for BYD e-Platform 3.0 is 31.8%

  2. States weighted average gross margin for Ford C2 is 31.1%

  3. States weighted average gross margin for GM Ultium is 30.8%

  4. States weighted average gross margin for Hyundai E-GMP is 32.5%

  5. States weighted average gross margin for MLB Evo is 31.8%

  6. States weighted average gross margin for MQB is 32.0%

  7. States weighted average gross margin for Stellantis STLA Medium is 31.8%

  8. States weighted average gross margin for TNGA is 31.6%

  9. States weighted average gross margin for Volvo SPA2 is 32.3%

  10. States the percentage price increase on the GM Ultium platform required to match the weighted average gross margin of all other platforms is 1.6%

Prompt excerpt

Task context

Based on the client’s SKU data, calculate the weighted average gross margin for each platform. Then determine the percentage price increase required for SKUs on the lowest-margin platform to raise their margin to match the weighted average gross margin of all other platforms combined. Reply to me with the analysis.

Response trace

Agent response, tools, files, and edits

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Eval exists so scores are inspectable—tasks, trajectories, artifacts, and rubric verdicts anyone can open.Workspace exists so people can automate real file work with that harness, and so Raycaster never evaluates work it cannot perform.