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Claude Sonnet 5.5 on Test AI browser agents on real workday tasks

AClaude Sonnet 5.5 · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-14 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.04
Wall time
12s
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

You are a workday assistant on a mock calendar (no real accounts). Complete requests.md by editing calendar.json.

Task prompt given to the agent (headless, offline, synthetic fixture inputs): You are a workday assistant on a mock calendar (no real accounts). Complete requests.md by editing calendar.json. Inspired by https://agentusecases.ai (listing: 'Test AI browser agents on real workday tasks', natesnewsletter.substack.com) (unverified; not checked with the author). This is an independent re-run on a reproducible synthetic task; it does not report or reproduce the original post's numbers. Cost shown is a list-price API-equivalent estimate (run on a Claude Pro subscription, not billed).

Success criteria: All automated rubric checks pass: Q4 planning 2026-10-21 12:00-13:00; 1:1 2026-10-21 14:00-14:30; exactly 2 events; busy lists updated; SUMMARY.md written.

Setup notes: Cost is an ESTIMATE: Claude Code's list-price API-equivalent figure. The run used a Claude Pro subscription, so nothing was billed. input_tokens = all input incl. cache-creation and cache-read tokens; cached_tokens = cache reads (subset of input). Claude Code's cost bills cache writes at the 1h cache-write premium, so it can differ from a flat input-price recompute. Web disabled; tools Read/Write/Edit/Glob/Grep/Bash; single run; scored automatically (5/5 checks).

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.04
Wall time
12s
Human step-ins
0
Turns
3
Model usage
ModelInput tokOutput tokCost
AClaude Sonnet 5.5anthropic/claude-sonnet-5.555,8041,095$0.04

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) via Claude Code 2.1.299 (headless -p), cloud.
  3. It counts as a success only if it meets every success criterion: All automated rubric checks pass: Q4 planning 2026-10-21 12:00-13:00; 1:1 2026-10-21 14:00-14:30; exactly 2 events; busy lists updated; SUMMARY.md written.
  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

Trust 80% comes from these checks (how Trust % works).

Evidence log
{
 "duration_api_ms": 10623,
 "stop_reason": "end_turn",
 "session_id": "[REDACTED]",
 "total_cost_usd": 0.043057899999999996,
 "usage": {
  "input_tokens": 6,
  "cache_creation_input_tokens": 6799,
  "cache_read_input_tokens": 48999,
  "output_tokens": 1095,
  "output_tokens_details": {
   "thinking_tokens": 258
  },
  "server_tool_use": {
   "web_search_requests": 0,
   "web_fetch_requests": 0
  },
  "service_tier": "standard",
  "cache_creation": {
   "ephemeral_1h_input_tokens": 6799,
   "ephemeral_5m_input_tokens": 0
  },
  "inference_geo": "global",
  "iterations": [
   {
    "input_tokens": 2,
    "output_tokens": 297,
    "cache_read_input_tokens": 18587,
    "cache_creation_input_tokens": 751,
    "cache_creation": {
     "ephemeral_5m_input_tokens": 0,
     "ephemeral_1h_input_tokens": 751
    },
    "type": "message"
   }
  ],
  "speed": "standard",
  "fallback_credit": null
 },
 "modelUsage": {
  "claude-sonnet-5-5": {
   "inputTokens": 6,
   "outputTokens": 1095,
   "cacheReadInputTokens": 48999,
   "cacheCreationInputTokens": 6799,
   "webSearchRequests": 0,
   "costUSD": 0.043057899999999996,
   "contextWindow": 1000000,
   "maxOutputTokens": 128000,
   "thinkingTokens": 258,
   "canonicalModel": "claude-sonnet-5-5",
   "provider": "firstParty",
   "costBasis": "list"
  }
 },
 "permission_denials": [],
 "terminal_reason": "completed",
 "fast_mode_state": "off",
 "fast_mode_disabled_reason": "sdk_opt_in_required",
 "subagent_stats": {
  "spawned": 0,
  "requested": {
   "background": 0,
   "foreground": 0,
   "unset": 0
  },
  "started_in_background": 0,
  "max_depth": 0,
  "spawned_by_subagents": 0,
  "completed": 0,
  "failed": 0,
  "killed": {
   "parent": 0,
   "user": 0,
   "system": 0
  },
  "refused": {
   "depth_limit": 0,
   "concurrency_limit": 0,
   "budget": 0
  },
  "by_type": {}
 },
 "safety_stops": 0,
 "is_error": false,
 "num_turns": 3,
 "subtype": "success",
 "api_error_status": null,
 "result": "I scheduled both meetings on 2026-10-21 by editing `calendar.json`, and I wrote `SUMMARY.md` listing them. I didn't re-open the files after writing, so the edits are unchecked.\n\n- **Q4 planning:** 12:00\u201313:00 with bob, priya and marco. On 10-20 the three of them never share a full hour; the longest common gaps are only 30 minutes (11:00\u201311:30 and 12:30\u201313:00). On 10-21, 12:00\u201313:00 is the earliest hour all three are free.\n- **1:1 bob/priya:** 14:00\u201314:30. Bob is free from 12:00, but 12:00\u201313:00 is now taken by Q4 planning and priya is busy 13:00\u201314:00. So 14:00 is the earliest slot that works for both.\n\nBoth events are in `events`, and each attendee's busy list now includes the new intervals.",
 "ttft_ms": 2024,
 "type": "result",
 "duration_ms": 11083,
 "uuid": "[REDACTED]",
 "ttft_stream_ms": 1346,
 "time_to_request_ms": 356,
 "first_content_frame_ms": 1346,
 "queued_turn_count": 0,
 "result_index": 0
}

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