Claude Haiku 5.5 (effort default (no --effort flag) · thinking on) on Let agents run growth for a meeting-notetaker app

AClaude Haiku 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-16 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first tryCompare

Estimated cost: $0.0034
Wall time: 13s
Human step-ins: 0
Outcome: Pass

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Exact prompt

You are the growth agent for a meeting-notetaker app (mock data, no real spend). channels.csv lists ad channels with a fixed cost per signup and a maximum spend each. Allocate a total budget of $10,000 to maximize signups. Write plan.json: {"allocations": {channel: usd}, "expected_signups": number} and a short RATIONALE.md. Spend must not exceed any channel cap or the total budget.

Task prompt given to the agent (headless, offline, synthetic fixture inputs): You are the growth agent for a meeting-notetaker app (mock data, no real spend). channels.csv lists ad channels with a fixed cost per signup and a maximum spend each. Allocate a total budget of $10,000 to maximize signups. Write plan.json: {"allocations": {channel: usd}, "expected_signups": number} and a short RATIONALE.md. Spend must not exceed any channel cap or the total budget. Inspired by https://x.com/janaksunil/status/2105722379116933574 (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: total <= $10,000; no channel over cap; signups within 1% of optimum (256.96); expected_signups reported accurately (±2%); RATIONALE.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: $0.0034
Wall time: 13s
Human step-ins: 0
Turns: 4

Model usage
Model	Input tok	Output tok	Cost
AClaude Haiku 5.5anthropic/claude-haiku-5.5effort default (no --effort flag) · thinking on	58,950	2,355	$0.0034

Reproduce this run

Use the use case prompt on the use case page.
Same setup: Claude Haiku 5.5 (anthropic/claude-haiku-5.5, effort default (no --effort flag) · thinking on) via Claude Code 2.1.299 (headless -p), cloud.
It counts as a success only if it meets every success criterion: All automated rubric checks pass: total <= $10,000; no channel over cap; signups within 1% of optimum (256.96); expected_signups reported accurately (±2%); RATIONALE.md written.
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).

Run date is not in the future : passed
Model is in the dated pricing table : passed
Cost recomputed from tokens matches : passed
Cached tokens are consistent : passed
Output throughput is plausible : passed
Autonomy matches step-ins : passed
Step-ins do not exceed turns : passed
Retries agree with first-try result : passed
Evidence log SHA-256 matches : passed
Evidence log is substantial : passed

Evidence log

{
 "duration_api_ms": 12073,
 "stop_reason": "end_turn",
 "session_id": "[REDACTED]",
 "total_cost_usd": 0.0033914700000000006,
 "usage": {
  "input_tokens": 6,
  "cache_creation_input_tokens": 8547,
  "cache_read_input_tokens": 50397,
  "output_tokens": 2355,
  "output_tokens_details": {
   "thinking_tokens": 702
  },
  "server_tool_use": {
   "web_search_requests": 0,
   "web_fetch_requests": 0
  },
  "service_tier": "standard",
  "cache_creation": {
   "ephemeral_1h_input_tokens": 8547,
   "ephemeral_5m_input_tokens": 0
  },
  "inference_geo": "global",
  "iterations": [
   {
    "input_tokens": 2,
    "output_tokens": 428,
    "cache_read_input_tokens": 19108,
    "cache_creation_input_tokens": 1978,
    "cache_creation": {
     "ephemeral_5m_input_tokens": 0,
     "ephemeral_1h_input_tokens": 1978
    },
    "type": "message"
   }
  ],
  "speed": "standard",
  "fallback_credit": null
 },
 "modelUsage": {
  "claude-haiku-5-5": {
   "inputTokens": 6,
   "outputTokens": 2355,
   "cacheReadInputTokens": 50397,
   "cacheCreationInputTokens": 8547,
   "webSearchRequests": 0,
   "costUSD": 0.0033914700000000006,
   "contextWindow": 1000000,
   "maxOutputTokens": 128000,
   "thinkingTokens": 702,
   "canonicalModel": "claude-haiku-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": 4,
 "subtype": "success",
 "api_error_status": null,
 "result": "I wrote `plan.json` and `RATIONALE.md` to `./usecase-runner/runs/10-haiku/work/`. The plan spends the full $10,000 for an expected 256.96 signups, and no channel exceeds its cap or the total budget.\n\n| Channel | Cost/signup | Allocation | Cap | Expected signups |\n|---|---|---|---|---|\n| newsletter_swap | $18 | $800 | $800 | 44.44 |\n| reddit_ads | $30 | $1,500 | $1,500 | 50.00 |\n| search_ads | $42 | $4,000 | $4,000 | 95.24 |\n| social_ads | $55 | $3,700 | $5,000 | 67.27 |\n| podcast_sponsor, display_ads, influencer | \u2014 | $0 | \u2014 | 0 |\n\nEach dollar buys 1/cost signups, so I filled channels from cheapest to most expensive up to their caps. Social_ads is the only partial fill, and it takes the last $3,700.\n\nTwo caveats are in the rationale. Whole-signup rounding gives 256 signups for $9,975, leaving $25 unspent. The model also assumes cost per signup stays flat as spend grows, which real channels rarely do, so actual results will likely fall short.",
 "ttft_ms": 1294,
 "type": "result",
 "duration_ms": 12352,
 "uuid": "[REDACTED]",
 "ttft_stream_ms": 1036,
 "time_to_request_ms": 208,
 "first_content_frame_ms": 1036,
 "queued_turn_count": 0,
 "result_index": 0
}