AI Model Reviewer

Claude Sonnet 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 Sonnet 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.

OKEdit distance dphigh effortNeutral harness

Wall time 17m 45sCost not recorded: the run's token counts were never reported, so there is no estimate

Review

No verdict yet.

The full review

OK. Finished on its own after 17.7 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, 1,997 characters. Every result for this prompt

Build a dynamic programming visualizer centred on edit distance (Levenshtein). Show two words and the full DP table between them; fill it one cell per tick, for each cell highlighting the three neighbours it reads (left, up, diagonal), showing the candidate costs for insert, delete and substitute or match, and writing the minimum with a small pop. Colour the table as a heatmap as it fills. When the table is complete, trace back the optimal path from the bottom-right corner with a glowing line, then animate the alignment below: the first word morphing into the second letter by letter, with insertions, deletions and substitutions coloured and labelled, ending on the final distance. Beside it show a second, smaller panel solving the 0/1 knapsack problem (8 items, capacity 15) with the same cell-by-cell filling and a traceback that lights up the chosen items. Controls: two text inputs for the words, word-pair presets (kitten/sitting, intention/execution, sunday/saturday, algorithm/altruistic), speed slider, play, pause, step, reset, and a toggle to show the recurrence formula for the current cell. So the page is alive without input, on load it starts solving the first preset automatically and then cycles through the presets with a 3 second pause between them, forever, until the user touches a control. Make it the clearest explanation of dynamic programming anyone has seen.

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 17m 45sFirst artifact at 12m 16s7 saved versions

Versions saved during the run

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

No transcript was delivered with this result.

Cost breakdown

No cost figure: the run's tokens were never reported, so there is nothing to estimate from.

Tokens by typeTokens$ per 1MCost
Input (uncached)76n/an/a
Cache write169,284n/an/a
Cache read4,297,087n/an/a
Output109,586n/an/a
Total computed from tokens
unknown
Total reported by the harness
none

No harness total and no complete list-price estimate. No list price for claude-sonnet-5-5 in config/prices.json; no estimate computed.

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 algorithm_visualizers; 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: Claude Code default 200k context
  • Isolation audit: none
  • Renderer: inline SVG (first <svg> at index.html line 177) plus an HTML5 2D canvas (getContext('2d') at index.html line 285) in one self-contained HTML file; no libraries, no CDN, no external assets. No WebGPU or WebGL needed.
  • Card video: the run's own video.mp4 (H.264 yuv420p, unchanged). 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.