Here is the meta-prompt you can run 100 times to autonomously generate these pac

antigravity agent · run 002 · 69s · 2026-08-17

Here is the meta-prompt you can run 100 times to autonomously generate these packages, followed by Run 001: an immediate, self-contained, interactive HTML/JS exhibition piece simulating Flash 3.7’s multimodal capabilities through a we-make-money-not-art lens.

The Meta-Prompt (Run this 100 times)

"Initialize a Flash 3.7 Autonomous Creative Sub-Routine. Randomly sample 3 disparate, highly esoteric input modalities (e.g., bio-metric telemetry, obsolete radio frequencies, socio-economic API data, atmospheric particulate scans). Process them through a critical-art/speculative-science framework (themes: post-anthropocene, glitch ecology, surveillance capitalism, sensory substitution). Output the result as a single, visually stunning, self-contained HTML/CSS/JS package. The UI must feature a brutalist, interactive, post-digital aesthetic. Include the conceptual thesis, simulated input streams, and a generative Javascript canvas representing the synthesized multimodal output artifact."

Output // Run 001: PHEROMONAL GLITCH

Save the code below as exhibit_001.html and open it in any browser. It is a self-contained, interactive exhibition package that dynamically generates its own visual artifacts.

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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>RUN_001 // MYCO-ACOUSTIC CRYPTOGRAPHY</title>
    <style>
        @import url('https://fonts.googleapis.com/css2?family=Space+Mono:ital,wght@0,400;0,700;1,400&display=swap');
        
        :root {
            --bg: #050505;
            --text: #e0e0e0;
            --accent: #ccff00; /* Toxic Neon Green */
            --accent2: #ff0055; /* Glitch Magenta */
            --border: 1px solid #333;
        }

        * { box-sizing: border-box; margin: 0; padding: 0; }

        body {
            background-color: var(--bg);
            color: var(--text);
            font-family: 'Space Mono', monospace;
            line-height: 1.6;
            overflow-x: hidden;
            display: grid;
            grid-template-columns: 350px 1fr;
            height: 100vh;
        }

        ::-webkit-scrollbar { width: 5px; }
        ::-webkit-scrollbar-thumb { background: var(--accent); }

        /* Left Panel: Curation & Thesis */
        .curatorial-panel {
            border-right: var(--border);
            padding: 2rem;
            overflow-y: auto;
            background: #0a0a0a;
            position: relative;
        }

        .header-block {
            border-bottom: var(--border);
            padding-bottom: 1rem;
            margin-bottom: 2rem;
        }

        h1 {
            font-size: 1.2rem;
            text-transform: uppercase;
            color: var(--accent);
            margin-bottom: 0.5rem;
            letter-spacing: -1px;
        }

        .metadata {
            font-size: 0.7rem;
            color: #888;
            text-transform: uppercase;
        }

        h2 {
            font-size: 0.9rem;
            color: var(--accent2);
            margin: 1.5rem 0 0.5rem 0;
            text-transform: uppercase;
            border-bottom: 1px dashed #333;
            display: inline-block;
        }

        p { font-size: 0.8rem; margin-bottom: 1rem; text-align: justify; }

        .tag {
            display: inline-block;
            background: #222;
            color: var(--accent);
            padding: 2px 6px;
            font-size: 0.65rem;
            margin: 2px;
            border-radius: 2px;
        }

        /* Right Panel: Multimodal Canvas */
        .artifact-stage {
            position: relative;
            display: flex;
            flex-direction: column;
            padding: 2rem;
        }

        canvas {
            width: 100%;
            height: 60vh;
            background: #000;
            border: 1px solid var(--accent);
            box-shadow: 0 0 20px rgba(204, 255, 0, 0.1);
            cursor: crosshair;
        }

        .data-feed {
            display: grid;
            grid-template-columns: repeat(3, 1fr);
            gap: 1rem;
            margin-top: 2rem;
        }

        .feed-box {
            border: var(--border);
            padding: 1rem;
            font-size: 0.75rem;
            background: repeating-linear-gradient(
                45deg,
                #000,
                #000 10px,
                #0a0a0a 10px,
                #0a0a0a 20px
            );
        }

        .blink { animation: blinker 1s linear infinite; }
        @keyframes blinker { 50% { opacity: 0; } }

        .glitch-text {
            position: relative;
            display: inline-block;
        }
        .glitch-text:hover { color: var(--accent2); }

    </style>
</head>
<body>

    <div class="curatorial-panel">
        <div class="header-block">
            <h1>Myco-Acoustic Cryptography</h1>
            <div class="metadata">
                <span class="blink">● REC</span> // PROTOCOL: FLASH-3.7<br>
                DATE: 2026-08-17 // LOCATION: SITE_NULL
            </div>
        </div>

        <h2>Thesis</h2>
        <p>A speculative critique of surveillance capitalism through bio-algorithmic symbiosis. Flash 3.7 was tasked with bridging the sensory apparatus of urban CCTV networks with the underground sub-perceptual communication of *Pleurotus ostreatus* (Oyster Mushrooms).</p>

        <h2>Modality [IN]</h2>
        <p>1. Live traffic telemetry from London's Financial District.<br>
           2. Electrical action potentials of mycelial networks.<br>
           3. Audio recordings of high-frequency algorithmic trading server hum.</p>

        <h2>Modality [OUT]</h2>
        <p>A generative topographical mapping that translates human financial panic into actionable fungal growth patterns. The interactive canvas displays the real-time "digestion" of market data by simulated spore agents.</p>

        <h2>Taxonomy</h2>
        <div>
            <span class="tag">#BIO-ART</span>
            <span class="tag">#GLITCH-ECOLOGY</span>
            <span class="tag">#POST-ANTHROPOCENE</span>
            <span class="tag">#TACTILE-EPISTEMOLOGY</span>
        </div>
    </div>

    <div class="artifact-stage">
        <div style="margin-bottom: 1rem; display: flex; justify-content: space-between; align-items: center;">
            <span style="font-size: 0.8rem; color: var(--accent);">// ARTIFACT_VISUALIZER.CANVAS</span>
            <span style="font-size: 0.8rem; color: #888;">[ INTERACT VIA MOUSE POSITION ]</span>
        </div>
        
        <!-- Flash 3.7 Generated Generative Art Output -->
        <canvas id="sporeCanvas"></canvas>

        <div class="data-feed">
            <div class="feed-box">
                <span style="color: var(--accent2);">[STREAM A] MACRO-ECONOMICS</span><br><br>
                <span id="stock-ticker">FTSE: -0.04% // VOL: 44.2K</span>
            </div>
            <div class="feed-box">
                <span style="color: var(--accent);">[STREAM B] BIO-VOLTAGE</span><br><br>
                <span id="myco-voltage">mV: 12.441</span>
            </div>
            <div class="feed-box">
                <span style="color: var(--text);">[SYNTHESIS] FUNGAL COMPUTE</span><br><br>
                STATUS: <span class="blink">SPORE DISPERSAL ACTIVE</span>
            </div>
        </div>
    </div>

    <script>
        // Flash 3.7 Autonomous Canvas Generation
        const canvas = document.getElementById('sporeCanvas');
        const ctx = canvas.getContext('2d');
        
        canvas.width = canvas.offsetWidth;
        canvas.height = canvas.offsetHeight;

        let particles = [];
        let mouseX = canvas.width / 2;
        let mouseY = canvas.height / 2;

        canvas.addEventListener('mousemove', (e) => {
            const rect = canvas.getBoundingClientRect();
            mouseX = e.clientX - rect.left;
            mouseY = e.clientY - rect.top;
        });

        class Spore {
            constructor() {
                this.x = Math.random() * canvas.width;
                this.y = Math.random() * canvas.height;
                this.size = Math.random() * 2 + 0.5;
                this.speedX = Math.random() * 2 - 1;
                this.speedY = Math.random() * 2 - 1;
                this.hue = Math.random() > 0.9 ? 340 : 75; // Magenta or Neon Green
            }
            update() {
                // Fungal intelligence pulling towards "CCTV/Mouse Data"
                let dx = mouseX - this.x;
                let dy = mouseY - this.y;
                let distance = Math.sqrt(dx * dx + dy * dy);
                
                if (distance < 150) {
                    this.x += dx * 0.02;
                    this.y += dy * 0.02;
                } else {
                    this.x += this.speedX + (Math.random() - 0.5);
                    this.y += this.speedY + (Math.random() - 0.5);
                }

                if (this.x < 0 || this.x > canvas.width) this.speedX *= -1;
                if (this.y < 0 || this.y > canvas.height) this.speedY *= -1;
            }
            draw() {
                ctx.fillStyle = `hsl(${this.hue}, 100%, 50%)`;
                ctx.beginPath();
                ctx.arc(this.x, this.y, this.size, 0, Math.PI * 2);
                ctx.fill();
            }
        }

        for (let i = 0; i < 400; i++) {
            particles.push(new Spore());
        }

        function animate() {
            ctx.fillStyle = 'rgba(0, 0, 0, 0.1)'; // Trail effect
            ctx.fillRect(0, 0, canvas.width, canvas.height);
            
            // Draw mycelial connections
            ctx.strokeStyle = 'rgba(204, 255, 0, 0.05)';
            ctx.lineWidth = 0.5;
            for(let i=0; i<particles.length; i++) {
                for(let j=i; j<particles.length; j++) {
                    let dx = particles[i].x - particles[j].x;
                    let dy = particles[i].y - particles[j].y;
                    let dist = Math.sqrt(dx*dx + dy*dy);
                    if(dist < 35) {
                        ctx.beginPath();
                        ctx.moveTo(particles[i].x, particles[i].y);
                        ctx.lineTo(particles[j].x, particles[j].y);
                        ctx.stroke();
                    }
                }
            }

            particles.forEach(p => {
                p.update();
                p.draw();
            });
            requestAnimationFrame(animate);
        }

        animate();

        // Simulate incoming data streams
        setInterval(() => {
            const ticker = document.getElementById('stock-ticker');
            const volt = document.getElementById('myco-voltage');
            const fluctuation = (Math.random() * 0.2 - 0.1).toFixed(2);
            ticker.innerText = `FTSE: ${fluctuation}% // VOL: ${(Math.random() * 100).toFixed(1)}K`;
            volt.innerText = `mV: ${(12 + Math.random() * 2).toFixed(3)}`;
        }, 800);

        // Handle resize
        window.addEventListener('resize', () => {
            canvas.width = canvas.offsetWidth;
            canvas.height = canvas.offsetHeight;
        });
    </script>
</body>
</html>

Why this structure works for your 100 runs:

The HTML Shell acts as the "Gallery": By outputting straight into standard web languages, you skip the need for heavy API wrappers. Every time you run the prompt, you get a new "Exhibit" you can just open locally.
Procedural Aesthetics: The JS canvas relies on boids/flocking logic manipulated by the simulated "data streams." In future iterations of your prompt, this block will autonomously swap out for WebGL shaders, SVG glitch generators, or audio-synthesis scripts based on whatever weird inputs the model selects.
Conceptual Grounding: The left-hand panel forces the AI to not just output code, but to justify it with dense, we-make-money-not-art style critical theory and art-world jargon.