diff --git a/index.html b/index.html
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+++ b/index.html
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+<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="utf-8">
+    <title>Diffuse Pulse</title>
+    <style>
+        html, body {
+            margin: 0;
+            padding: 0;
+            background: #000;
+            overflow: hidden;
+            width: 100vw;
+            height: 100vh;
+            display: flex;
+            justify-content: center;
+            align-items: center;
+            font-family: monospace;
+        }
+        canvas {
+            display: block;
+            position: absolute;
+            top: 0;
+            left: 0;
+        }
+        #info {
+            position: absolute;
+            bottom: 20px;
+            left: 20px;
+            color: rgba(255,255,255,0.6);
+            font-size: 11px;
+            text-shadow: 0 0 5px rgba(0,0,0,0.8);
+        }
+    </style>
+</head>
+<body>
+    <canvas id="canvas"></canvas>
+    <div id="info">neurameba · motd.social</div>
+    <script>
+        const canvas = document.getElementById('canvas');
+        const ctx = canvas.getContext('2d');
+
+        function resize() {
+            canvas.width = window.innerWidth;
+            canvas.height = window.innerHeight;
+        }
+        window.addEventListener('resize', resize);
+        resize();
+
+        // Parameters derived from prompt
+        const params = {
+            motion: 0.531,
+            density: 0.502,
+            complexity: 0.474,
+            connectedness: 0.448,
+            lifespan: 0.496,
+            pulse: { avg: 0.59, min: 0.30, max: 2.00 },
+            tone: { sadness: 0.00, anger: 0.00, curiosity: 0.30, dryness: 0.80, playfulness: 0.00, tension: 0.00 }
+        };
+
+        // Reaction-diffusion parameters
+        const D_A = 0.2 + params.motion * 0.8;  // Diffusion rate of A
+        const D_B = 0.2 + params.motion * 0.8;  // Diffusion rate of B
+        const feed = 0.036 + params.pulse.avg * 0.02;  // Feed rate
+        const kill = 0.06 + params.pulse.avg * 0.04;   // Kill rate
+        const timeStep = 0.1;
+        const scale = 8 / (1 + params.density * 3); // Grid scale
+
+        // Initialize grid
+        const rows = Math.floor(canvas.height / scale) + 2;
+        const cols = Math.floor(canvas.width / scale) + 2;
+        let grid = Array(rows).fill().map(() =>
+            Array(cols).fill().map(() =>
+                [Math.random(), Math.random()]
+            )
+        );
+
+        let nextGrid = JSON.parse(JSON.stringify(grid));
+        let pulseTimer = 0;
+        let pulseActive = false;
+        let pulseX = 0, pulseY = 0;
+
+        function update() {
+            // Random pulse
+            pulseTimer += params.pulse.avg * 0.01;
+            if (pulseTimer > 1 && !pulseActive && Math.random() < 0.02) {
+                pulseActive = true;
+                pulseX = Math.floor(Math.random() * cols);
+                pulseY = Math.floor(Math.random() * rows);
+            }
+
+            for (let y = 1; y < rows - 1; y++) {
+                for (let x = 1; x < cols - 1; x++) {
+                    let a = grid[y][x][0];
+                    let b = grid[y][x][1];
+
+                    // Apply pulse influence
+                    if (pulseActive && x === pulseX && y === pulseY) {
+                        a += 0.2;
+                        b += 0.1;
+                    }
+
+                    // Reaction term
+                    const reaction = a * b * b;
+                    const newA = a + (D_A * laplacianA(x, y) - reaction + feed * (1 - a)) * timeStep;
+                    const newB = b + (D_B * laplacianB(x, y) + reaction - (kill + feed) * b) * timeStep;
+
+                    nextGrid[y][x][0] = Math.max(0, Math.min(1, newA));
+                    nextGrid[y][x][1] = Math.max(0, Math.min(1, newB));
+                }
+            }
+
+            // Swap grids
+            [grid, nextGrid] = [nextGrid, grid];
+            if (pulseActive) pulseActive = false;
+
+            // Draw
+            ctx.fillStyle = 'rgba(10,10,10,0.05)';
+            ctx.fillRect(0, 0, canvas.width, canvas.height);
+
+            for (let y = 1; y < rows - 1; y++) {
+                for (let x = 1; x < cols - 1; x++) {
+                    const a = grid[y][x][0];
+                    const b = grid[y][x][1];
+                    const val = (a - b + 1) / 2; // Output value
+
+                    if (val > 0.1) {
+                        const size = scale * 0.8;
+                        const hue = 180 + val * 60; // Teal tones
+                        const saturation = 30 + val * 20;
+                        const lightness = 20 + val * 15;
+                        const alpha = 0.5 + val * 0.5;
+
+                        ctx.fillStyle = `hsla(${hue}, ${saturation}%, ${lightness}%, ${alpha})`;
+                        ctx.fillRect(x * scale, y * scale, size, size);
+                    }
+                }
+            }
+
+            requestAnimationFrame(update);
+        }
+
+        function laplacianA(x, y) {
+            let sum = 0;
+            sum += grid[y-1][x][0] * 0.05;
+            sum += grid[y+1][x][0] * 0.05;
+            sum += grid[y][x-1][0] * 0.05;
+            sum += grid[y][x+1][0] * 0.05;
+            sum += grid[y-1][x-1][0] * 0.02;
+            sum += grid[y+1][x+1][0] * 0.02;
+            sum += grid[y-1][x+1][0] * 0.02;
+            sum += grid[y+1][x-1][0] * 0.02;
+            sum += grid[y][x][0] * -1;
+            return sum;
+        }
+
+        function laplacianB(x, y) {
+            let sum = 0;
+            sum += grid[y-1][x][1] * 0.05;
+            sum += grid[y+1][x][1] * 0.05;
+            sum += grid[y][x-1][1] * 0.05;
+            sum += grid[y][x+1][1] * 0.05;
+            sum += grid[y-1][x-1][1] * 0.02;
+            sum += grid[y+1][x+1][1] * 0.02;
+            sum += grid[y-1][x+1][1] * 0.02;
+            sum += grid[y+1][x-1][1] * 0.02;
+            sum += grid[y][x][1] * -1;
+            return sum;
+        }
+
+        update();
+    </script>
+</body>
+</html>
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