Raycaster/ Eval

APEX-Agents · Management Consulting

World 133 - NK Task #1

Best published1/4Fail

APEX-Agents task World 133 - NK Task #1 in AI Agents for Hospitality Loyalty Strategy. Compare dual-harness agent runs across models, scores, and public traces.

AI Agents for Hospitality Loyalty StrategyManagement Consulting World 133Dual harnessGrader: rubric
task_effa0ae896284b07984dd5cc7151e10f
Management Consulting World 133
message_in_console
5 models · dual config

Task prompt

What the agent was asked to do

What are the projected 2026 aggregate free night bookings for Marriott, Hilton, and Hyatt in New York, London, and Tokyo combined? Assume all of Summit's 2026P free night certificate redemptions from the PNL (in thousands) are projected to be exclusively in either New York, London, or Tokyo. What would Summit's expected free night relative market share be in each market? Provide values to one decimal place. Express RMS as a percentage. Print your reply here.

Published trajectories

Agent runs on this task

Curated dual-harness runs (parsed + original sandbox). Best scored run per model.

ModelHarnessScoreResultLinks
GPT-5.4dual1/4Fail
GPT-5.4 minidual1/4Fail
GPT-5.4 nanodual1/4Fail
GPT-5.5dual1/4Fail
Gemini 3.1 Produal0/4Fail

Grading rubric

Rubric criteria

Runs are graded against these criteria. Open a run for model-specific verdicts.

  1. States the combined 2026 free nights in NYC, London, and Tokyo for Marriott, Hilton, and Hyatt is 203,000.0

  2. States Summit's 2026 RMS in New York is 37.5%

  3. States Summit's 2026 RMS in London is 33.3%

  4. States Summit's 2026 RMS in Tokyo is 46.9%