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errorbar — back-office RL environments (sample, 25 tasks)
Five real back-office accounting jobs, five months each, packaged as agentic RL environments. In every task the agent is the desk's employee at month end: it gets the job as it was given, the real mailbox (500–2,300 documents) and the real Excel workbook, both behind MCP tools. It has to find the month's facts in the mail and finish the workbook.
- Real records, simulated months: the workbooks and mailboxes are the original documents; each month's figures and planted problems are simulated, so the answers are in no public text.
- Computed grading, no AI judge: the workbook is recalculated and checked cell by cell against the answer key. Any edit outside the answer cells fails the task.
Frontier baseline
GPT-6.1 Sol, jobs completed (strict pass) on each desk's held-out evaluation set (not included in this sample):
| desk | jobs completed |
|---|---|
| staab | 9/24 (38%) |
| ppep | 6/24 (25%) |
| griffith | 16/74 (22%) |
| oba | 2/12 (17%) |
| ces | 1/18 (6%) |
| all five | 34/152 (22%) |
Open-weight models, jobs completed (partial runs on griffith, staab and ppep; not the held-out sets above):
| model | jobs completed |
|---|---|
| Qwen3.8-27B | 1/23 (4%) |
| Nemotron 3.5 Super VL (fp4) | 0/47 (0%) |
Desks
| desk | the job | tiers in this sample |
|---|---|---|
| staab | gas producer settlements | easy · medium · hard · dense · decoy |
| griffith | gas sales billing to a utility | easy · medium · hard · dense · decoy |
| ppep | power-plant fuel-management close | easy · medium · hard · dense · decoy |
| oba | pipeline imbalance close | hard ×2 · deep · dense · decoy |
| ces | agency invoicing | medium ×2 · hard · dense · decoy |
Tiers run from one planted problem (easy) to every problem type of the desk (dense). Decoy months have nothing to fix, but contain documents that tempt a wrong "fix".
What it tests
| skill | what the agent must do |
|---|---|
| Search | find the month's few relevant facts in hundreds to thousands of real documents |
| Latest version | use the revised figure, not the first one |
| Rules and conventions | apply the desk's standing rules: units, signs, gross vs net, pricing conventions |
| Restraint | leave correct figures alone when a document suggests a "fix" |
| Inference | work out what no single document states |
| Precise editing | change only the right cells in a large, messy real workbook |
Grading
Deterministic: the submitted workbook and the answer key are recalculated (LibreOffice) and compared cell by cell.
- Strict pass: every answer cell matches, and nothing else was damaged.
- Tolerances: per task, published with the task.
- Alternative answers: documented alternatives are accepted where the records leave a convention open.
- Partial credit: the share of answer cells right is reported as
errors_fixed.
Verified
- The reference solution scores 1.0 and the untouched workbook 0.0 on all 25 tasks; each planted problem left unfixed scores 0.
- The grader's recalculation matches Excel on all 32,129 formula cells of the source workbooks.
- In a review of 103 failed frontier-model attempts, none failed because of the grader.
What's in the download
- 25 tasks in Harbor format: instruction, world (workbook + mailbox behind MCP), grader, reference solution.
- A verified reference solution for every task: a complete step-by-step trajectory, built from the answer key, replayed in the live environment and scoring 1.0. Also included as a chat-format SFT example.
- README, run guide (including the MDP description) and a spoilers file.
Intended use
- Evaluate agents on long-horizon, document-heavy back-office work.
- Train with RL: computed rewards, a partial-credit signal and difficulty tiers from easy to dense.
- Domain: real US energy-company back office: producer settlements, utility billing, fuel management, pipeline imbalance and agency invoicing.
Available on request
- Graded written deliverables per desk.
- More tasks: any desk generates new months on demand, at every tier.
Privacy and access
- Privacy: contact details are pseudonymised throughout.
- Access: on request, for evaluation only (see the terms above the download).
- Questions: request access and we'll be in touch.
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