Boids flocking · gpt-oss-120b
Create a full-screen flocking simulation of boids using separation, alignment, and cohesion, drawn as oriented triangles that steer smoothly and flee from the mouse cursor.
transcript · 4 messages
Create a full-screen flocking simulation of boids using separation, alignment, and cohesion, drawn as oriented triangles that steer smoothly and flee from the mouse cursor.
thinking
We need to create a self-contained index.html with full-screen flocking simulation. Use JavaScript canvas, no external libraries. Simulate boids with behaviors: separation, alignment, cohesion, and also flee from mouse cursor. Draw oriented triangles representing each boid. Should be full-screen responsive. Provide CSS in style tag. Use a script with animation loop. Steps: Write HTML skeleton with canvas that fills screen, script that sets up canvas size to window.innerWidth/innerHeight, handles resize. Boid class with position, velocity, acceleration. Parameters: max speed, max force. Functions for steering: separation, alignment, cohesion. Also flee (steer away from mouse if within some radius). The boid's update applies acceleration to velocity, limit speed, position wraps around edges. Drawing: oriented triangle: points based on heading of velocity. Use context.save/translate/rotate. Make sure to requestAnimationFrame. Write the file index.html. Proceed to write directly using write tool.
index.html (7500 bytes)Successfully wrote 7500 bytes to index.html
The full‑screen boids flocking simulation is now ready in a single self‑contained file: **File created:** `index.html` You can open this file in a browser; it will display an animated flock of oriented triangular boids that exhibit separation, alignment, cohesion, and smoothly flee from the mouse cursor—all without any external resources.
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
Boids flock and animate continuously as small yellow triangles, but flocking clusters look loose and mouse interaction isn't clearly visible.
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.