Raycaster/ Eval

APEX-Agents · Management Consulting

Task unc2be9c - EM

Best published1/2Fail

APEX-Agents task Task unc2be9c - EM 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_8f47fc64814943c2a782a2b8704a3ba3
Management Consulting World 133
message_in_console
5 models · dual config

Task prompt

What the agent was asked to do

Was the data Ecan provided during the meeting (noted in the team sync-up from 11/21/25) on the number of members that have stayed during Q3 2025 correct? Use our data from the 11/17 stay and booking data to assess it. Report here if Ecan provided the correct data or not. If not, give the correct value.

Published trajectories

Agent runs on this task

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

ModelHarnessScoreResultLinks
Gemini 3.1 Produal1/2Fail
GPT-5.4dual1/2Fail
GPT-5.4 minidual1/2Fail
GPT-5.4 nanodual1/2Fail
GPT-5.5dual1/2Fail

Grading rubric

Rubric criteria

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

  1. States that the data provided by Ecan is incorrect

  2. States that the number of member stays in Q3 2025 is 76