Raycaster/ Eval

APEX-Agents

gpt-5.4-nano on World226_RM_08

0/3Fail
Domain
Investment Banking
Category
AI Agents for Infrastructure Finance
Harness
dual

Grader rubric

Criteria verdict

  1. States Year 5 Implied Net Debt is $2,551

  2. States Year 5 Sponsor Equity Value is $19,298

  3. States Year 5 IRR is 19.1%

Prompt excerpt

Task context

Using the LBO model, I want you to tell me updated values for: (1) Implied Net Debt, (2) Sponsor Equity Value and (3) IRR for Year 5. # Assumptions -Increase the interest rate of the secured term loan from 7.5% to 7.75%, and assume the secured term loan is now non-amortizing -Increase entry leverage from 6.0x LTM EBITDA to 7.25x LTM EBITDA -Hold revenue growth constant at 11.0% from FY27E through FY30E Given the revenue adjustment, throughout the forecast period, assume: - Quantum of Operating Expenses remains unchanged - Capex in this scenario scales faster than revenue and as a % of revenue increases by 100bps above the base case - Assume no $ increase to D&A For the final numbers: Percentages rounded to 1 decimal point. Monetary values rounded to the nearest whole million USD.

Response trace

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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.