AI Model Reviewer

Claude Opus 5.5 in Claude Code 2.1.280

skills off

← Open in the gallerySame prompt, all models

Zoom, inline player and more ways to view
Poster frame of Claude Opus 5.5's page
Open the original page

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. Tap inside for sound.

OKPhoto editorhigh effortNeutral harness

Wall time 25m 48sCost $4.74 estimated

Review

No verdict yet.

The full review

OK. Finished on its own after 25.8 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.
Visitors
Public voting with a blind reveal is coming: you score the output first, then see the other scores.
Reviewer
The reviewer's own grade appears here once it is added.

Scores compare results for the same prompt only. AI-judge boards rank runs within one prompt, equal totals sharing a rank; scores from different prompts are never averaged.

Downloads

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

The exact prompt

as run, 2,038 characters. Every result for this prompt

Build a working photo editor in one page in the spirit of Lightroom. Since no image files can be loaded from the network, first render a detailed photo-like scene procedurally onto a canvas (a mountain lake at golden hour with sky gradient, clouds, layered mountains, reflections, trees and noise grain), and also let the user open their own image file from disk. It needs non-destructive editing with a full adjustment panel: exposure, contrast, highlights, shadows, whites, blacks, temperature, tint, vibrance, saturation, clarity, a tone curve editor with draggable points per channel, HSL sliders per colour band, vignette and grain; crop and straighten with rule-of-thirds overlay and aspect presets; a live RGB histogram; a before and after split view with a draggable divider; preset looks (cinematic teal-orange, faded film, black and white high contrast, moody) that can be applied and then tweaked; full undo and redo history listing each step; and export to PNG. Processing must stay responsive: work on a preview-size buffer while dragging and render full resolution on release. So the page is alive without input, on load it runs a scripted demo: slides exposure and temperature, bends the tone curve, applies two presets, drags the before and after divider back and forth, crops, then resets and repeats with different settings, until the user touches anything. Make it look like a pro tool: dark UI, precise controls.

Save it as index.html in the current directory: one self-contained file with inline CSS and JavaScript only, no libraries or frameworks, and no external requests of any kind (no CDNs, web fonts, images or audio files). It must work when opened directly from disk, fit any window from a 390 px wide phone to a desktop, and run without console errors. You may serve it locally and open it in headless chromium (/usr/bin/chromium, software WebGL, no GPU) 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.

How it was made

Wall time 25m 48sFirst artifact at 16m 58s8 saved versions

Versions saved during the run

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

No transcript was delivered with this result.

Cost breakdown

Headline cost $4.74, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)62$4.00$0.0002
Cache write294,525$5.00$1.4726
Cache read4,265,342$0.20$0.8531
Output120,583$20.00$2.4117
of which reasoning57,646billed as output
Total computed from tokens
$4.7376
Total reported by the harness
none

Computed from harness-reported token counts x list prices.

Prices: Project price table (vendor list prices), 2026-09-22.

Run notes

one prompt, agentic harness (self-review allowed)

  • frozen prompt (written): written 2026-10-05 for the MR category expansion (owner request: 500 finished runs in every category); category app_clones; zero results
  • plain wave-1-equivalent cc_config copy (settings.json + .claude.json; no ECC files)
  • Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
  • Context setting: 1M ([1m] model name)
  • Isolation audit: none
  • Renderer: Canvas 2D (getContext('2d') at index.html line 239) plus DOM/CSS UI and inline SVG; single self-contained index.html, no CDN and no external assets.
  • Card video: the run's own session capture (headless Chromium, no GPU), re-encoded as H.264. Poster: the run's own render.png.
  • Same frozen prompt as the other rows on this test; configurations differ and all rows are unscored, so this is not a head-to-head result.