Reaction-diffusion · gpt-5.6-luna
Run a Gray-Scott reaction-diffusion simulation on a canvas that grows organic Turing patterns in real time, with the mouse seeding new growth.
transcript · 4 messages
Run a Gray-Scott reaction-diffusion simulation on a canvas that grows organic Turing patterns in real time, with the mouse seeding new growth.
thinking
**Planning index.html creation** I need to create an index.html file and inspect the directory. I'm thinking about implementing a polished single page application, probably just writing it out. It’s important to ensure everything is performant, using a full-screen canvas with controls like feed/kill presets. I want it to feel organic and include a UI without relying on any external libraries. Maybe I should test the syntax using Node.js to write the file. Let's get started on this!
/tmp/ws/index.html (8729 bytes)Successfully wrote 8729 bytes to /tmp/ws/index.html
Created `/tmp/ws/index.html` — a self-contained Gray-Scott reaction-diffusion simulation with: - Real-time organic Turing patterns - Mouse/touch drag seeding - Feed rate, kill rate, and brush size controls - Preset cultures: Coral, Mazes, and Cells - Pause/resume and re-seed controls - Responsive full-screen canvas - No external resources or 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
Gray-Scott reaction-diffusion grows organic maze/coral patterns continuously, with click/drag visibly seeding new growth.
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.