APEX-Agents · Investment Banking
World224_SK_Task01
APEX-Agents task World224_SK_Task01 in AI Agents for Take-Private Analysis. Compare dual-harness agent runs across models, scores, and public traces.
Task prompt
What the agent was asked to do
Use the LBO model. I want some new analyses: - Decrease the “Premium” from 35.0% to 25.0% on the "LBO" tab - Decrease the “Adj. EBITDA Multiple” from 40.0x to 25.0x on the "LBO" tab - Update revenue growth constant at 15.0% per year from Year 2 through Year 5. Write out to me here: 1. Sponsor Equity Value in Year 5. 2. IRR in Year 5. Round it to the nearest million (e.g., $1,000). Report the IRR as % rounded to one decimal place.
Published trajectories
Agent runs on this task
Curated dual-harness runs (parsed + original sandbox). Best scored run per model.
| Model | Harness | Score | Result | Links |
|---|---|---|---|---|
| GPT-5.4 nano | dual | 2/2 | Pass | Run detailsPublic trace |
| Gemini 3.1 Pro | dual | 0/2 | Fail | Run detailsPublic trace |
| GPT-5.4 mini | dual | 0/2 | Fail | Run detailsPublic trace |
| GPT-5.5 | dual | 0/2 | Fail | Run detailsPublic trace |
Grading rubric
Rubric criteria
Runs are graded against these criteria. Open a run for model-specific verdicts.
States that the Sponsor Equity Value in Year 5 is $18,609 million
States that IRR in Year 5 is 12.5%