{
  "title": "Effort guides learned model behavior",
  "caption": "An effort signal selects learned behavior, with adaptive token use. Evaluation supplies data for subsequent settings. A hard runtime cap separately sets a generation limit. The author made this explanatory diagram with example playback, and animation time is not measured runtime.",
  "alt": "Flow: a supported effort mode guides model behavior. A separate runtime cap sets a generation limit. Evaluation supplies data for subsequent settings.",
  "sources": [
    {
      "path": "content/blog/2026-07-22_reasoning-effort-inference-systems/post.md",
      "description": "Article explanation and retained source citations"
    }
  ],
  "limitations": [
    "The execution is an example. Playback duration is not measured runtime.",
    "A supported effort setting does not promise a fixed quantity of work or a quality gain. This feedback changes request configuration, not model weights."
  ]
}