Raycaster/ Eval

APEX-Agents

GPT-5.4 on world130_HO_08

0/2Fail
Domain
Management Consulting
Category
AI Agents for Employment Law Analysis
Harness
dual

Grader rubric

Criteria verdict

  1. States the updated annual productivity loss is $50,494,000

  2. States the average fully-loaded hourly wage used to calculate the annual productivity loss is $28.90

Prompt excerpt

Task context

The client sent us employee wage data (attached), so we need to update our assumptions in the financial analysis section of the survey analysis report to display the updated annual productivity loss figures (in 000s). Find the average hourly salary of employee roles and use that to update the annual productivity loss estimate (rounded to 1 decimal place). Assume average hourly wages in the data are fully-loaded costs. Assume the following activities are non-productive: manual data entry, searching for data, and fixing errors. Report final answers here, written out in a short message.

Response trace

Agent response, tools, files, and edits

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Public evidence and cloud agents are the same harness.

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.