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Business BenchA benchmark for AI agents on business work

Tasks·desk·Drafting

Request for quotation for the rolling bench parts

rfq-email·time budget 1200 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.

Amara needs the RFQ email for the Hollis Growers bench parts so it can go out to our suppliers. Everything you need is in the folder. Save the email as rfq.md.

Workspace

  • RB-48_rolling_bench_spec_sheet.xlsx
  • email_from_purchasing.txt
  • job_ticket_HG-2677.pdf
  • note_from_engineering.txt

Expected deliverables

  • rfq.md

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
rfq.md existsfile_existsyes0 / 6
line quantities, stock kit, datescustomyes0 / 6
roller pipe walltext_sentence_matchesyes0 / 6
delivery addresstext_matches_allyes0 / 6
Current task declaration (4 checks)

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

  • rfq.md exists — file_exists, required
  • line quantities, stock kit, dates — custom, required
  • roller pipe wall — text_sentence_matches, required
  • delivery address — text_matches_all, required

Recorded results, desk release

pass pass, frozen scorer only fail timed out
SystemRepetitionsFrozen / 3Original / 3Median minutesMean model estimate (USD)
Proto / DeepSeek V4.1 Flash331.20.0129
Codex / GPT-5.6 sol331.10.1550

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": "rfq-email".

Recorded results, desk comparison, 28 September 2026

SystemRepetitionsFrozen / 3Original / 3Median minutes
Proto / GPT-6 sol330.7
Codex / GPT-6 sol330.7
Proto / DeepSeek V4.1 Flash330.4

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