Flow-field particles · glm-5.2
Using the pre-provided p5.min.js (global p5, instance or global mode), create a full-screen flow-field particle animation: thousands of particles advected by Perlin-noise vectors, leaving fading trails, with colors shifting over time.
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Using the pre-provided p5.min.js (global p5, instance or global mode), create a full-screen flow-field particle animation: thousands of particles advected by Perlin-noise vectors, leaving fading trails, with colors shifting over time.
thinking
Let me create a flow-field particle animation using p5.js.
/workspace/index.html (3467 bytes)Successfully wrote 3467 bytes to /workspace/index.html
Done. `index.html` is in the current directory. What it does: - **Full-screen canvas** via `windowWidth/windowHeight`, with `windowResized` handling. - **~2,200 particles**, each advected by an angle sampled from `noise(x, y, z)` (Perlin). `zoff` advances every frame so the flow field evolves over time. - **Fading trails** painted by drawing a low-alpha translucent background rect each frame (trail length controlled by `TRAIL_ALPHA`). - **Time-shifting colors** in HSB mode: a global `hueShift` drifts continuously, combined with each particle's own hue offset and the local field angle, so hues sweep across the spectrum as the animation runs. - Particles respawn when they leave the screen or exceed their lifetime, keeping the field densely populated. - Press **S** to save a PNG snapshot. Tweakables at the top of the script: `PARTICLE_COUNT`, `SPEED`, `TRAIL_ALPHA`, `NOISE_SCALE`, `NOISE_TIME` for density, speed, trail length, field coarseness, and evolution speed.
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
Flow-field particle trails animate continuously with shifting colors, consistent with prompt; inputs don't visibly alter behavior beyond ongoing animation.
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.