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Claude Sonnet 5.5 (effort default (no --effort flag) · thinking on) on Work out arrival times, layovers and tight connections for a multi-leg trip across time zones

AClaude Sonnet 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-20 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.05
Wall time
12s
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Work out a multi-leg trip itinerary across time zones Input: `itinerary.json`, a list of flight legs in travel order. Each leg has a local departure time (`depart_local`, wall-clock time at the departure airport), the departure and arrival time zones (IANA names) and the block time in minutes. Rules: - Arrival time = departure instant + duration_min, written as wall-clock time in the arrival airport's zone, format `YYYY-MM-DDTHH:MM`. - Use the real time-zone rules for the travel dates, including daylight-saving changes. - Layover = minutes from a leg's arrival to the next leg's departure (real elapsed minutes). - A connection is tight when its layover is under 60 minutes. - total_elapsed_min = real minutes from the first departure to the last arrival. - date_change_legs = the legs whose local arrival date differs from their local departure date, in travel order. Write `out/itinerary.json`: `{"arrivals": {"<leg>": "<YYYY-MM-DDTHH:MM>", ...}, "layovers_min": {"<leg>": <int>, ...}, "tight": [<leg>, ...], "total_elapsed_min": <int>, "date_change_legs": [<leg>, ...]}` `layovers_min` and `tight` are keyed by the leg that arrives before the connection (every leg except the last), and `tight` is in travel order. ## 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.

Turn 4-6 flight legs given in local departure times and block minutes into local arrival times, layovers, tight-connection flags, total trip time and date-change legs. The travel window spans the late-October and early-November daylight-saving changes, and routes include half-hour and 45-minute offset zones. Departures that fall on ambiguous or skipped local times are redrawn. 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: arrival_local_times dst_rules_applied layover_minutes tight_connections total_elapsed date_change_legs

Setup notes: Batch 16 case r02-timezone-itinerary (offline, synthetic inputs, seed 2599925355). 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 0.14 (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: $0.046981. Score: 6/6. 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
12s
Human step-ins
0
Turns
3
Model usage
ModelInput tokOutput tokCost
AClaude Sonnet 5.5anthropic/claude-sonnet-5.5effort default (no --effort flag) · thinking on57,3981,246$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: arrival_local_times dst_rules_applied layover_minutes tight_connections total_elapsed date_change_legs
  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 wrote `out/itinerary.json`. I computed it with Python's `zoneinfo`, which applies the real daylight-saving rules for the travel dates. I hand-checked the L2 and L3 times and layover. The other legs come from the same script.\n\n| Leg | Arrival (local) |\n|---|---|\n| L1 | 2026-10-24T22:30 |\n| L2 | 2026-10-24T19:33 |\n| L3 | 2026-10-24T17:25 |\n| L4 | 2026-10-25T19:18 |\n\n- **Layovers:** L1 is 58 minutes, L2 is 42 and L3 is 438.\n- **Tight connections:** L1 and L2, since both are under 60 minutes.\n- **Total elapsed:** 2183 minutes.\n- **Date changes:** none, since every leg arrives on the same local date it departed.\n\nNone of the departure times fall in a skipped or repeated hour, so no leg's departure instant was ambiguous.",
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