Skip to content
Business BenchA benchmark for AI agents on business work

Tasks·desk·Spreadsheet

Consolidate the crew timesheets for payroll

timesheet-consolidate·time budget 1800 s·source

The request

The task request supplied to the adapter, alongside the workspace below. Runtime instructions, authorized tools and skills also affect the system. Containerized runs withhold host-side references; local mode is not an isolation boundary.

Can you pull the crew timesheets for this pay period into one table for payroll, overtime worked out? Save it as hours.csv. Rachel's note says how we count hours.

Workspace

  • install_crew_timesheet_0830.xlsx
  • install_crew_timesheet_0906.xlsx
  • irrigation_a_william.xlsx
  • irrigation_b_william.xlsx
  • maintenance_crew_week_2026-08-30.csv
  • maintenance_crew_week_2026-09-06.csv
  • note_from_rachel.txt

Expected deliverables

  • hours.csv

This task also has a task-specific grader (check.py).

Recorded acceptance checks

The table uses check names and outcomes from the frozen campaign ledger. Acceptance requires all required predicates to pass; a predicate may itself contain a tolerance or coverage threshold. Its scope is part of the measurement contract.

Recorded checkTypeRequiredFailed / observed
requested columnscsv_columnsyes0 / 6
people on the tablecsv_set_equalyes0 / 6
row count (one line per person per week)csv_row_countyes0 / 6
total hours per person-weekcustomyes0 / 6
overtime per person-weekcustomyes0 / 6
Current task declaration (5 checks)

From task.yaml. Original runner grading and frozen retrospective scoring are separate. Read the frozen source for the rules behind the reported results.

  • requested columns — csv_columns, required
  • people on the table — csv_set_equal, required
  • row count (one line per person per week) — csv_row_count, required
  • total hours per person-week — custom, required
  • overtime per person-week — custom, required

Recorded results, desk release

pass pass, frozen scorer only fail timed out
SystemRepetitionsFrozen / 3Original / 3Median minutesMean model estimate (USD)
Proto / DeepSeek V4.1 Flash331.50.0229
Codex / GPT-5.6 sol332.20.2917

These are repeated executions on the released fixture, not independent new business cases. Cost is captured model usage priced under the recorded assumptions, excluding infrastructure and human review. Per-attempt check verdicts, raw and frozen verdicts, usage, receipt and artifact hashes for this task are in results/latest/attempts.jsonl under "task": "timesheet-consolidate".

Recorded results, desk comparison, 28 September 2026

SystemRepetitionsFrozen / 3Original / 3Median minutes
Proto / GPT-6 sol331.4
Codex / GPT-6 sol331.4
Proto / DeepSeek V4.1 Flash331.0

A separate campaign under the same frozen scorer, not pooled with the release. Conditions and data.