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+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Voronoi Organism</title>
+    <style>
+        body { margin: 0; overflow: hidden; background: #0a0a0a; }
+        canvas { display: block; }
+        #attribution { position: absolute; bottom: 10px; right: 10px; color: #444; font-family: monospace; font-size: 10px; }
+    </style>
+</head>
+<body>
+    <canvas id="canvas"></canvas>
+    <div id="attribution">neurameba · motd.social</div>
+    <script>
+        const canvas = document.getElementById('canvas');
+        const ctx = canvas.getContext('2d');
+
+        // Set canvas to full window size
+        function resizeCanvas() {
+            canvas.width = window.innerWidth;
+            canvas.height = window.innerHeight;
+        }
+        window.addEventListener('resize', resizeCanvas);
+        resizeCanvas();
+
+        // Parameters
+        const params = {
+            motion: 0.580,
+            density: 0.358,
+            complexity: 0.726,
+            connectedness: 0.530,
+            lifespan: 0.340,
+            pulse: { avg: 0.35, min: 0.30, max: 1.20 },
+            tone: { anger: 0.00, sadness: 0.00, curiosity: 0.20, dryness: 0.90, playfulness: 0.00, tension: 0.00 }
+        };
+
+        // Generate Voronoi diagram with dynamic points
+        let points = [];
+        const pointCount = Math.max(50, Math.floor(params.density * 200 + 50));
+        const maxSpeed = params.motion * 2 + 0.5;
+
+        // Initialize points
+        for (let i = 0; i < pointCount; i++) {
+            points.push({
+                x: Math.random() * canvas.width,
+                y: Math.random() * canvas.height,
+                vx: (Math.random() - 0.5) * maxSpeed,
+                vy: (Math.random() - 0.5) * maxSpeed,
+                color: `hsl(0, 0%, ${Math.random() * 20 + 20}%)`,
+                size: Math.random() * 2 + 1,
+                energy: 38.8
+            });
+        }
+
+        // Voronoi diagram data
+        let edges = [];
+        let cells = [];
+
+        // Distance function
+        function distance(p1, p2) {
+            return Math.sqrt((p1.x - p2.x) ** 2 + (p1.y - p2.y) ** 2);
+        }
+
+        // Bounding box intersection
+        function lineBoxIntersection(x1, y1, x2, y2, xmin, ymin, xmax, ymax) {
+            const d1 = (x1 < xmin && x2 < xmin) || (x1 > xmax && x2 > xmax) ||
+                       (y1 < ymin && y2 < ymin) || (y1 > ymax && y2 > ymax);
+            if (d1) return false;
+
+            const coef1 = (y2 - y1) / (x2 - x1);
+            const coef2 = y1 - coef1 * x1;
+
+            let x = xmin;
+            let y = coef1 * x + coef2;
+            if (y >= ymin && y <= ymax) return true;
+
+            x = xmax;
+            y = coef1 * x + coef2;
+            if (y >= ymin && y <= ymax) return true;
+
+            y = ymin;
+            x = (y - coef2) / coef1;
+            if (x >= xmin && x <= xmax) return true;
+
+            y = ymax;
+            x = (y - coef2) / coef1;
+            if (x >= xmin && x <= xmax) return true;
+
+            return false;
+        }
+
+        // Calculate Voronoi diagram (simplified)
+        function calculateVoronoi() {
+            edges = [];
+            cells = points.map((_, i) => ({ site: i, edges: [], neighbors: [] }));
+
+            // For each point, find its nearest neighbors and potential edges
+            for (let i = 0; i < points.length; i++) {
+                const p1 = points[i];
+                let closest = null;
+                let minDist = Infinity;
+
+                for (let j = i + 1; j < points.length; j++) {
+                    const p2 = points[j];
+                    const dist = distance(p1, p2);
+
+                    if (dist < minDist) {
+                        minDist = dist;
+                        closest = j;
+                    }
+                }
+
+                if (closest !== null) {
+                    // Create bidirectional edge
+                    const edge = {
+                        p1: i,
+                        p2: closest,
+                        length: minDist,
+                        color: p1.color,
+                        width: 1 + (p1.size + points[closest].size) / 4
+                    };
+
+                    cells[i].edges.push(edge);
+                    cells[closest].edges.push(edge);
+                    cells[i].neighbors.push(closest);
+                    cells[closest].neighbors.push(i);
+                    edges.push(edge);
+                }
+            }
+        }
+
+        // Update points
+        function updatePoints() {
+            const pulseFactor = params.pulse.avg + (Math.random() - 0.5) * params.pulse.max * 0.1;
+
+            points.forEach(p => {
+                // Move with slight bias toward center
+                const centerX = canvas.width / 2;
+                const centerY = canvas.height / 2;
+                const dx = centerX - p.x;
+                const dy = centerY - p.y;
+                const dist = Math.sqrt(dx * dx + dy * dy);
+
+                p.vx += dx / (dist * 100 + 100) * params.motion * 0.5;
+                p.vy += dy / (dist * 100 + 100) * params.motion * 0.5;
+
+                // Apply speed limit
+                const speed = Math.sqrt(p.vx * p.vx + p.vy * p.vy);
+                if (speed > maxSpeed) {
+                    p.vx = (p.vx / speed) * maxSpeed;
+                    p.vy = (p.vy / speed) * maxSpeed;
+                }
+
+                // Update position
+                p.x += p.vx * pulseFactor;
+                p.y += p.vy * pulseFactor;
+
+                // Boundary check
+                if (p.x < 0 || p.x > canvas.width) p.vx *= -0.5;
+                if (p.y < 0 || p.y > canvas.height) p.vy *= -0.5;
+
+                // Random small variations
+                p.vx += (Math.random() - 0.5) * 0.1 * params.motion;
+                p.vy += (Math.random() - 0.5) * 0.1 * params.motion;
+
+                // Fade color based on lifespan
+                if (params.lifespan < 0.5) {
+                    const alpha = params.lifespan * 2;
+                    const hsl = p.color.match(/\d+/g);
+                    hsl[2] = Math.max(5, parseInt(hsl[2]) * alpha);
+                    p.color = `hsl(${hsl[0]}, ${hsl[1]}%, ${hsl[2]}%)`;
+                }
+            });
+        }
+
+        // Draw Voronoi edges
+        function drawVoronoi() {
+            ctx.clearRect(0, 0, canvas.width, canvas.height);
+
+            // Draw edges with glow
+            edges.forEach(edge => {
+                ctx.strokeStyle = edge.color;
+                ctx.lineWidth = edge.width * (0.5 + params.complexity * 0.5);
+                ctx.beginPath();
+
+                const p1 = points[edge.p1];
+                const p2 = points[edge.p2];
+
+                ctx.moveTo(p1.x, p1.y);
+                ctx.lineTo(p2.x, p2.y);
+                ctx.stroke();
+
+                // Add glow effect
+                ctx.shadowBlur = 10 * params.complexity;
+                ctx.shadowColor = edge.color;
+                ctx.stroke();
+                ctx.shadowBlur = 0;
+            });
+
+            // Draw points
+            points.forEach(p => {
+                ctx.fillStyle = p.color;
+                ctx.beginPath();
+                ctx.arc(p.x, p.y, p.size * (0.5 + params.density * 0.5), 0, Math.PI * 2);
+                ctx.fill();
+            });
+        }
+
+        // Animation loop
+        function animate() {
+            updatePoints();
+            calculateVoronoi();
+            drawVoronoi();
+
+            // Randomly add/remove points based on density
+            if (Math.random() < 0.02) {
+                if (points.length < pointCount * 1.5 && Math.random() < params.density) {
+                    points.push({
+                        x: Math.random() * canvas.width,
+                        y: Math.random() * canvas.height,
+                        vx: (Math.random() - 0.5) * maxSpeed,
+                        vy: (Math.random() - 0.5) * maxSpeed,
+                        color: `hsl(0, 0%, ${Math.random() * 20 + 20}%)`,
+                        size: Math.random() * 2 + 1,
+                        energy: 38.8
+                    });
+                } else if (points.length > pointCount * 0.5 && Math.random() > params.density) {
+                    points.splice(Math.floor(Math.random() * points.length), 1);
+                }
+            }
+
+            requestAnimationFrame(animate);
+        }
+
+        animate();
+    </script>
+</body>
+</html>
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