Raycaster/ Eval

APEX-Agents

gpt-5.5 on Law_World_419_WA_02

2/9Fail
Domain
Law
Category
AI Agents for Maritime and Environmental Liability
Harness
dual

Grader rubric

Criteria verdict

  1. States that CJ is a "responsible party" under 33 U.S.C. § 2701(32) based on charterer/operator status

    Fail
  2. States that being a responsible party triggers strict liability for removal costs and damages under § 2702(a)

    Pass
  3. States that § 2704(a)(1) establishes a liability limit of $2,500 per gross ton

    Fail
  4. States that § 2704(a)(1) includes a statutory liability minimum of $21,521,000

    Fail
  5. States that the gross ton liability limit is $74,617,500

    Fail
  6. States that the gross ton liability is greater than $21,521,000

    Fail
  7. States that CJ's liability cap is $74,617,500

    Fail
  8. States that the third-party sole negligence under Section 2703(a)(3) is the strongest defense

    Fail
  9. States that the third-party defense requires the defendant to prove that it had no contractual relationship with a third party affecting vessel operation

    Pass

Prompt excerpt

Task context

Draft a pre-litigation legal memorandum that addresses CJ's status, financial exposure, and potential defenses under the Oil Protection Act of 1990. Create a new docx file, containing your memo.

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.