{
  "schema_version": "newruntime-agent-readable-v0.1",
  "type": "raw_signal",
  "id": "tg-2545",
  "slug": "ai-spend-measured-per-successful-task",
  "title": "AI spend should be measured per successful task",
  "description": "Ramp argues for allocating AI cost by use case, owner, completed outcome, failures, retries, review effort, and latency.",
  "observed_at": "2026-06-27",
  "why_it_matters": "A cheaper model or lower token bill can still be economically worse when it creates more failed runs, longer queues, or expensive human correction.",
  "novelty": "structural",
  "verification_level": "source-inspected",
  "signal_type": "field-report",
  "evidence_kind": "mixed",
  "status": "published",
  "telegram_message_id": 2545,
  "telegram_url": "https://t.me/qwgai/2545",
  "topics": [
    "agent-economics",
    "ai-strategy",
    "product-metrics"
  ],
  "entities": [
    "Ramp"
  ],
  "related_patterns": [],
  "source_urls": [
    "https://engineering.ramp.com/post/ai-spend-value"
  ],
  "import_batch": "telegram-2026-07-17-v1",
  "routes": {
    "html": "https://newruntime.com/signals/ai-spend-measured-per-successful-task/",
    "markdown": "https://newruntime.com/signals/ai-spend-measured-per-successful-task.md",
    "json": "https://newruntime.com/signals/ai-spend-measured-per-successful-task.json"
  },
  "source_format": "telegram-export-normalized-json"
}