Matrix digital rain · ring-2.6-1t
Create the Matrix digital rain effect on a full-screen black canvas: columns of falling green katakana glyphs with a trailing fade and a brighter leading character.
transcript · 4 messages
Create the Matrix digital rain effect on a full-screen black canvas: columns of falling green katakana glyphs with a trailing fade and a brighter leading character.
thinking
The user wants a Matrix digital rain effect - the classic falling green characters effect from The Matrix movie. I need to create a single self-contained HTML file with: 1. Full-screen black canvas 2. Columns of falling green katakana glyphs 3. Trailing fade effect (characters fade from bright to dark) 4. Brighter leading character at the front of each stream Let me build this using HTML5 Canvas and JavaScript.
/tmp/ws/index.html (3292 bytes)Successfully wrote 3292 bytes to /tmp/ws/index.html
thinking
The file has been written successfully. Let me verify it exists and looks correct by reading it back.
The `index.html` file has been written to `/tmp/ws/`. Here's what it implements: - **Full-screen black canvas** — resizes dynamically with the window - **Columns of falling katakana glyphs** (アイウエオカキクケコ…ン) plus some kana modifiers - **Leading character** is rendered bright white-green with a glow/shadow that occasionally flickers extra bright for a "headlight" effect - **Trailing fade** — each stream draws ~15–35 characters behind the head, with opacity and green intensity ramping down to transparent black, creating the classic "ghosting" tail effect via a semi-transparent black overlay on each frame - **No external dependencies** — pure HTML5 Canvas + vanilla JS, fully sandboxed with zero network requests
TAKE IT TO CODE
A single self-contained HTML file — copy it and open in any browser, or reuse the prompt with your own pi-agent run.
RUN
EVALUATION
Continuous animated Matrix digital rain with green katakana glyphs, fading trails, and brighter leading characters; no interactivity needed.
Vision grade · anthropic/claude-sonnet-5
MEASUREMENTS
Raw readings from the capture, not a verdict — the grade above is the only judgement. Percentages are how much of the screen changed; the measure under-reports sparse motion on a dark background.