Load the fall menu into the new POS with modifiers
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.
We go live on TillTap next week. Can you turn our fall menu workbook into their menu import, modifiers included, and save it as pos_menu.csv? Kwame's notes from the setup call and their template are in the folder.
Workspace
- tidewater_fall_menu.xlsx
- tilltap_menu_import_template.csv
- tilltap_setup_notes.txt
Expected deliverables
- pos_menu.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 check | Type | Required | Failed / observed |
|---|---|---|---|
| TillTap template columns, exact order | csv_columns | yes | 0 / 6 |
| one row per item, group and modifier | csv_set_equal | yes | 0 / 6 |
| row count | csv_row_count | yes | 0 / 6 |
| record type, name, parent and category | csv_values_match | yes | 0 / 6 |
| min, max and group codes | csv_values_match | yes | 0 / 6 |
| prices as plain numbers | custom | yes | 0 / 6 |
Current task declaration (6 checks)
From task.yaml. Original runner grading and frozen retrospective scoring are separate. Read the frozen source for the rules behind the reported results.
- TillTap template columns, exact order —
csv_columns, required - one row per item, group and modifier —
csv_set_equal, required - row count —
csv_row_count, required - record type, name, parent and category —
csv_values_match, required - min, max and group codes —
csv_values_match, required - prices as plain numbers —
custom, required
Recorded results, desk release
| System | Repetitions | Frozen / 3 | Original / 3 | Median minutes | Mean model estimate (USD) |
|---|---|---|---|---|---|
| Proto / DeepSeek V4.1 Flash | 3 | 3 | 1.1 | 0.0138 | |
| Codex / GPT-5.6 sol | 3 | 3 | 1.8 | 0.2610 |
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": "pos-menu-import".
Recorded results, desk comparison, 28 September 2026
| System | Repetitions | Frozen / 3 | Original / 3 | Median minutes |
|---|---|---|---|---|
| Proto / GPT-6 sol | 3 | 3 | 1.7 | |
| Codex / GPT-6 sol | 3 | 3 | 1.2 | |
| Proto / DeepSeek V4.1 Flash | 3 | 3 | 1.3 |
A separate campaign under the same frozen scorer, not pooled with the release. Conditions and data.