Raycaster/ Eval

APEX-Agents

gpt-5.5 on LawWorld417_AB_01

0/7Fail
Domain
Law
Category
AI Agents for Employment Law Analysis
Harness
dual

Grader rubric

Criteria verdict

  1. States that Chasing Streams will be successful in its motion to dismiss

    Fail
  2. States that Angeles was terminated

    Fail
  3. States that on termination Angeles immediately filed his lawsuit against Chasing Streams

    Fail
  4. States that the ADA and its implementing regulations require a plaintiff to obtain a "right to sue" letter before they can file suit

    Fail
  5. States that in order to obtain a "right to sue" letter, a plaintiff must file a charge of discrimination with the EEOC or the state/local agency

    Fail
  6. States that Angeles did not file a charge of discrimination with the EEOC or state/local agency

    Fail
  7. States that Angeles did not obtain a "right to sue" letter

    Fail

Prompt excerpt

Task context

We are working on the Angeles case. He is the custodian who sued Chasing Streams under the ADA based on his termination and failure to accommodate. It's the one where he made a verbal request, but Chasing Streams never addressed it. What are our chances on a motion to dismiss? Explain why. Give your reply here.

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.