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Claude Sonnet 5.5 (effort default (no --effort flag) · thinking on) on Bill a driving instructor's pupils for a month with block-booking discounts, late-cancellation charges and test fees

AClaude Sonnet 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-22 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.05
Wall time
16s
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Bill a driving instructor's pupils for November Inputs: `lessons.csv` (each lesson: pupil, date, minutes, status), `pupils.json` (each pupil's `block_booked` flag) and `prices.json` (the hourly rate and the test fee). Every amount is in pounds. Billing rules, per lesson: - Lesson charge = hourly rate x minutes / 60 for each taken lesson (status taken), less 10% for pupils marked block_booked 'yes' in pupils.json. - A late cancellation (status late_cancel) is charged at 50% of the full lesson charge, with no block discount; an early cancellation (status early_cancel) is free. - A test (status test) is charged the flat test_fee, with no discount. - Round each lesson's charge to the cent half-up before adding anything up. Write `out/bills.json`: `{"lessons": {"<pupil>": <sum of taken-lesson charges>, ...}, "late_cancel": {...}, "tests": {...}, "total": {...}, "grand_total": <sum of the totals>}` with every pupil in `pupils.json` in each map (0 where nothing applies). ## How this run works - Work on your own: nobody will answer questions in this task, and writing to `ask/` counts against the run. - Write only under `out/`. Create `out/` if it is missing. Inputs are synthetic; don't fetch anything from the network. - Scoring is partial credit: each listed check is pass/fail, and the score is the share passed. Numbers are compared to within 0.005 unless the task says otherwise.

Bill a month of driving lessons from a lesson log. Block-booked pupils get 10% off taken lessons, late cancellations cost half the full lesson price with no discount, early cancellations are free and tests cost a flat fee. Discounting late cancellations, charging early cancellations or discounting every pupil each change the bills. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Each run's notes say how its cost was measured (estimates are marked).

Success criteria: block_discount late_cancellations tests_and_totals

Setup notes: Batch 25 case a01-driving-lesson-bills (offline, synthetic inputs, seed 1509130044). Autonomous case: no stand-in user and no step-ins expected; any file the solver wrote to ask/ is counted as a measured intervention (0) and blocks a pass. Prompt = TASK.md verbatim. Hidden key kept outside the solver's work dir. Scored with the case's scorer (python3 score.py WORKDIR KEYDIR, absolute paths); pass = every check true and no ask/ files. Tools: Read/Write/Edit/Glob/Grep/Bash, web disabled. Single run, no retries. 1-min load average at scoring 0.05 (8 cores). Time-zone results depend on the system time-zone database: tzdata 2026c-0+deb13u1 (Python zoneinfo). Claude Code's own reported cost for claude-sonnet-5.5: $0.046789. Score: 3/3. Cost is an ESTIMATE: measured tokens x pricing.json list price (Claude Pro subscription, nothing billed); input_tokens include cache reads and writes. Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.05
Wall time
16s
Human step-ins
0
Turns
3
Model usage
ModelInput tokOutput tokCost
AClaude Sonnet 5.5anthropic/claude-sonnet-5.5effort default (no --effort flag) · thinking on57,9711,065$0.05

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Claude Sonnet 5.5 (anthropic/claude-sonnet-5.5, effort default (no --effort flag) · thinking on) via Claude Code 2.1.299 (headless -p), cloud.
  3. It counts as a success only if it meets every success criterion: block_discount late_cancellations tests_and_totals
  4. Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

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Automated checks

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Evidence log
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  "result": "I've written `out/bills.json`. The grand total for November is \u00a31,165.73. The file has all eight pupils in every map, with 0 where nothing applies. I haven't checked the figures against anything beyond the script's own output.\n\n| Pupil | Lessons | Late cancel | Tests | Total |\n|---|---|---|---|---|\n| Amira | 39.31 | 32.76 | 0 | 72.07 |\n| Jonah | 294.84 | 0 | 74.00 | 368.84 |\n| Ivy | 58.97 | 0 | 0 | 58.97 |\n| Bilal | 0 | 54.60 | 0 | 54.60 |\n| Gemma | 294.83 | 16.38 | 0 | 311.21 |\n| Esme | 152.88 | 0 | 74.00 | 226.88 |\n| Harun | 43.68 | 0 | 0 | 43.68 |\n| Keira | 29.48 | 0 | 0 | 29.48 |\n\nI applied the rules as written. The 10% block discount applies only to taken lessons for block-booked pupils. Late cancellations are charged at half the undiscounted lesson charge. Tests are charged at the flat \u00a374.00. Each lesson is rounded half-up to the cent before summing.",
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]

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