Raycaster/ Eval

APEX-Agents

gpt-5.4-nano on world130_HO_05

5/5Pass
Domain
Management Consulting
Category
AI Agents for Digital Transformation
Harness
dual

Grader rubric

Criteria verdict

  1. States that the number of respondents who received any kind of training on digital tools is 1200

  2. States that percentage of respondents rated the training quality as "Excellent- comprehensive and very helpful” is 16%

  3. States that percentage of respondents rated the training quality as "Good- adequate for most needs” is 41%

  4. States that percentage of respondents rated the training quality as “Fair- some gaps or inconsistencies” is 33%

  5. States that percentage of respondents rated the training quality as “Poor - insufficient or unhelpful” is 11%

Prompt excerpt

Task context

Use the v1 version of the survey responses to identify the number of respondents who received any kind of training on digital tools. Of those respondents, return the percentage of respondents for each training quality rating. Reply back here to me.

Response trace

Agent response, tools, files, and edits

Open full trace

On a phone, the interactive viewer works best full-screen — pick the narrative report or the files & trajectory workspace.

Why Eval exists · why Workspace exists

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.