AI Model Reviewer

GPT-6 Sol in Codex CLI 0.156.1

skills off

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GPT-6 Sol's output for Domino chain physics

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Poster frame of GPT-6 Sol's page
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The model's own page, run in a sandboxed frame only when you ask (a page that needs its own origin opens in a new tab on a separate demo site). Phones get a full-screen player capped at 1.5x pixel density (2x on larger screens) so it stays smooth; the original page runs uncapped. It starts in its auto-tour (T switches to play mode on a keyboard).

OKDomino chain physicsmax effortNeutral harness

Wall time 23m 31sCost $3.35 estimated

Review

No verdict yet.

The full review

OK. Finished on its own after 23.5 min.

Scores

AI judge

Not scored

No rubric for this prompt

Visitor votes and reviewer grades are not available yet.

AI judge
AI judge: the test runner (model claude-opus-5-5), scoring by visual review of the 1600 px render against the pre-registered rubric. No AI-judge score exists for this result: there is no rubric for this prompt, so no score is shown and none is made up.
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Public voting with a blind reveal is coming: you score the output first, then see the other scores.
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The reviewer's own grade appears here once it is added.

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Downloads

Files actually published for this run. Original output, site-made previews and post-run conversions are labelled separately.

The exact prompt

as run, 1,009 characters. Every result for this prompt

Build a single-file Three.js scene with real rigid-body physics (write your own or use a CDN physics lib) of a large domino run: at least 2,000 dominoes in spirals, a staircase, a bridge, splits that branch and rejoin, and a final tower that topples. Include a cinematic follow camera that tracks the leading edge of the wave, a free orbit camera, slow-motion toggle, a reset button, and an IDLE AUTO-PLAY mode that resets and replays the run with a new random layout every time it finishes. Soft shadows, a polished wooden floor, 60 fps target. Output one index.html. Save the main page as index.html in the current directory (plus any local asset files you create), with no build step. You may serve it locally and open it in headless chromium (/usr/bin/chromium, software WebGL, no GPU, no WebGPU) to screenshot and inspect your own output, and iterate on your own before finishing. Close any browser you open as soon as you've taken your screenshot. Finish with a short README.md describing the controls.

How it was made

Wall time 23m 31sFirst artifact at 4m 33s23 saved versions

Versions saved during the run

23 intermediate outputs, in the order the model wrote them.

Version 23 of 23
  1. Version 1 at 4m 35s thumbnailv1 4:35
  2. Version 2 at 5m 51s thumbnailv2 5:51
  3. Version 3 at 6m 31s thumbnailv3 6:31
  4. Version 4 at 7m 07s thumbnailv4 7:07
  5. Version 5 at 8m 57s thumbnailv5 8:57
  6. Version 6 at 11m 44s thumbnailv6 11:44
  7. Version 7 at 11m 49s thumbnailv7 11:49
  8. Version 8 at 13m 10s thumbnailv8 13:10
  9. Version 9 at 13m 20s thumbnailv9 13:20
  10. Version 10 at 14m 21s thumbnailv10 14:21
  11. Version 11 at 15m 01s thumbnailv11 15:01
  12. Version 12 at 17m 02s thumbnailv12 17:02
  13. Version 13 at 17m 58s thumbnailv13 17:58
  14. Version 14 at 18m 08s thumbnailv14 18:08
  15. Version 15 at 18m 59s thumbnailv15 18:59
  16. Version 16 at 19m 09s thumbnailv16 19:09
  17. Version 17 at 19m 44s thumbnailv17 19:44
  18. Version 18 at 20m 25s thumbnailv18 20:25
  19. Version 19 at 21m 21s thumbnailv19 21:21
  20. Version 20 at 21m 41s thumbnailv20 21:41
  21. Version 21 at 21m 51s thumbnailv21 21:51
  22. Version 22 at 22m 32s thumbnailv22 22:32
  23. Version 23 at 23m 07s thumbnailv23 23:07

No transcript was delivered with this result.

Cost breakdown

Headline cost $3.35, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)276$2.00$0.0006
Cache write201,091$2.00$0.4022
Cache read9,306,963$0.20$1.8614
Output108,088$10.00$1.0809
of which reasoning70,839billed as output
Total computed from tokens
$3.3450
Total reported by the harness
none

Computed from harness-reported token counts x list prices. Cache writes priced at the input rate (the price table has no separate cache-write price). No request above 272,000 input tokens (92 checked): standard rates.

Prices: Project price table, 2026-09-25.

Run notes

one prompt, agentic harness (self-review allowed)

  • frozen prompt (written): X-idea prompt queue (frozen in prompts_queue), MR wave 5 Three.js/WebGPU expansion; category threejs; IDLE AUTO-PLAY mode in prompt; engine threejs harness suffix appended; zero results
  • plain CODEX_HOME copy (config.toml only, run work/ trusted; no AGENTS.md/skills/state)
  • Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
  • Isolation audit: outside paths seen
  • Renderer: Three.js WebGLRenderer (site/index.html line 550). Three.js r180 and the Rapier physics engine (rapier3d-compat 0.17.3) load from the jsDelivr CDN (import map at line 309, Rapier import at line 362), so the live demo needs network access. No WebGPU needed.
  • No card video (the session capture has only 3 frames): the card uses the poster, the run's own render.png.