Flow-field particles · gpt-5.6-sol
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.
transcript · 7 messages
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
**Considering index creation** I need to create an index, so I’m thinking I should inspect the directory first. Maybe I just focus on the library part? It seems essential to understand the structure there before diving into the indexing itself. Let’s explore what’s in the directory to get a better grasp on things. I want to make sure everything is set up correctly for the indexing process!
{"command":"ls -la && printf '\\nPI env:\\n' && env | grep '^PI_' | sort","timeout":10}{"command":"test -f p5.min.js && wc -c p5.min.js || true","timeout":10}total 1012 drwxr-sr-x. 2 node node 23 Aug 3 00:22 . drwxrwsrwx. 3 root node 16 Aug 3 00:22 .. -rw-r--r--. 1 node node 1034532 Aug 3 00:22 p5.min.js PI env: PI_CODING_AGENT=true PI_MODEL=openai/gpt-5.6-sol PI_PROVIDER=openrouter PI_REASONING_LEVEL=medium PI_SESSION_FILE=/home/node/.pi/agent/sessions/--tmp-ws--/2026-08-03T00-22-54-715Z_019fc500-89fb-7563-ab7c-54e6376bb571.jsonl PI_SESSION_ID=019fc500-89fb-7563-ab7c-54e6376bb571 PI_TIMEOUT_MS=600000
1034532 p5.min.js
thinking
**Planning particle index** I'm thinking about creating a polished full-screen index with thousands of particles and controls for interaction. I'll ensure good performance, possibly using p5 and WebGL for 2D drawing, even at 4K resolution. Using a translucent background for trails could work well, but I need to consider the performance impact of computing a Perlin grid each frame. I'll design a UI that's unobtrusive, with control panels, sliders, and color palettes, while also focusing on mobile and mouse interaction. It might be costly, but very doable to categorize particles into 24 bins for rendering.**Designing particle colors and interactions** I'm focusing on using each particle's color as a seed offset with a stable hue group that shifts nicely. The background will fade with a source-over fill in RGBA, and I’m setting device pixel density to 1 for clarity. I plan to draw paths for each bin while calculating a noise vector grid every frame. It seems like using bilinear or nearest noise calls could be efficient for a 5k grid. The mouse could interact by attracting or swirling particles if it enters the canvas. I'll also add keyboard controls and consider reducing motion if necessary.
index.html (15873 bytes)Successfully wrote 15873 bytes to index.html
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
Animated flow-field particle art with a live control panel; mouse input bends the field, space toggles pause (LIVE/STILL).
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.