{
  "schema_version": 1,
  "run_id": "agy-9642fe00-2f77-454f-a988-17aecf3d1825-capybara-hoverboard-v1",
  "published_at": "2026-10-20T03:43:11Z",
  "visible": true,
  "preview_allowed": true,
  "preview_disabled_reason": null,
  "observations": [
    "Despite running inside a coding-agent harness, the model completed the challenge in a single zero-tool turn and returned raw HTML without markdown fences or prose.",
    "The 1,630-line (58,361-byte) response uses a 3-layer hybrid architecture: a background 2D canvas for parallax scenery, an articulated inline SVG rig for the capybara and hoverboard, and a foreground 2D canvas for particle effects.",
    "Both canvases replicate the SVG 1200x750 viewBox aspect-ratio transform on resize so exhaust particles and repulsor rings stay aligned with the vector hoverboard.",
    "Animation includes harmonic hover oscillation, velocity-coupled board pitch, spring-damper physics on a stackable yuzu, dynamic scarf path morphing, autonomous trick timers, and keyboard, pointer, and button controls across three color themes.",
    "The response is self-contained with no external assets, libraries, fonts, network calls, or audio, and uses Math.random for scenery, particles, and autonomous trick timing.",
    "Recorded usage totals 37,171 tokens (8,952 input, 0 cached, and 28,219 output including 5,200 thinking tokens); model time is null because the session records thinking duration and step timestamps rather than assistant durationMs."
  ],
  "series_publication_complete": true,
  "series_incomplete_reason": null,
  "thumbnail": {
    "path": "thumbnails/agy-9642fe00-2f77-454f-a988-17aecf3d1825-capybara-hoverboard-v1.png",
    "viewport": {
      "width": 640,
      "height": 480
    },
    "capture_delay_ms": 1000,
    "browser_version": "156.0.8078.4",
    "preview_policy_version": "restricted-html-v1"
  }
}