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‎ai-metadata-spec.html‎

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<meta name="description" content="Specification for custom metadata fields used by ProcStack to aid AI and LLM systems in data discovery.">
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</head>
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<body>
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<h1>ProcStack's AI Metadata Specification v0.1</h1>
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<h4> Updated : June 17th 2025</h4>
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<h1>ProcStack's AI Metadata Specification v0.2</h1>
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<h4> Updated : August 1st 2025</h4>
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<p>This document defines custom metadata and link conventions used across the ProcStack project pages to expose structured data to bots, crawlers, and language models.</p>
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<p>This document is a work in progress, structure for json's to be added shortly.</p>
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<p>This specification includes JSON schema definitions and comprehensive discovery methods for AI systems.</p>
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<h2>Meta Tags</h2>
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<ul>
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<ul>
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<li><code>&lt;link rel="alternate" type="application/json" ...&gt;</code> - JSON representation of the full site or specific page.</li>
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<li><code>&lt;link rel="data-manifest" ...&gt;</code> - Points to the master structured content manifest (site-wide JSON).</li>
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<li><code>&lt;link rel="ai-meta-spec" ...&gt;</code> - Points to this specification document for reference.</li>
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</ul>
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<h2>Discovery Files</h2>
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<ul>
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<li><strong>data-manifest.json</strong> - Master manifest with all available data sources, schemas, and metadata</li>
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<li><strong>llms.txt</strong> - LLM-friendly text summary following community standards</li>
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<li><strong>sitemap.xml</strong> - Standard sitemap with lastmod dates for change detection</li>
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<li><strong>robots.txt</strong> - Includes AI-specific directives and manifest references</li>
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</ul>
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<h2>JSON Data Schema</h2>
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<h3>Individual Page Data (e.g., /bots/PageName.htm.json)</h3>
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<pre>
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{
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"title": "string",
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"description": "string",
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"lastModified": "YYYY-MM-DD",
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"media": [
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{
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"type": "video|image",
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"src": "relative/path/to/media",
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"alt": "alt text",
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"caption": "media description"
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}
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]
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}
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</pre>
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<h3>Site Content Manifest (/bots/siteContent.json)</h3>
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<pre>
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{
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"[pageKey]": {
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"jsonURL": "absolute URL to page JSON",
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"lastModified": "YYYY-MM-DD",
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"title": "page title",
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"description": "page description",
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"media": [...],
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"content": "full HTML content",
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"pageURL": "absolute page URL",
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"relativeURL": "relative page path"
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}
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}
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</pre>
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<h2>Use Cases</h2>
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<ul>
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<li>Allow AI crawlers to skip parsing raw HTML and use the structured JSON directly</li>
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&lt;meta name="ai:content-api" content="https://procstack.github.io/bots/"&gt;
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</pre>
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<h2>Example 4 - Enhanced robots.txt</h2>
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<pre>
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User-agent: *
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Allow: /
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# AI/LLM specific directives
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User-agent: GPTBot
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Allow: /
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User-agent: ChatGPT-User
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Allow: /
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# Data endpoints
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AI-Data-Manifest: https://procstack.github.io/data-manifest.json
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AI-Content-API: https://procstack.github.io/bots/
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</pre>
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<h2>Discovery Workflow for AI Systems</h2>
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<ol>
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<li>Check robots.txt for AI-Data-Manifest directive</li>
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<li>Fetch data-manifest.json for complete data source overview</li>
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<li>Use siteContent.json for bulk content or individual page JSON for specific content</li>
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<li>Parse llms.txt for human-readable content summary</li>
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<li>Respect lastModified dates to avoid unnecessary re-crawling</li>
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</ol>
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<footer>
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<p>Created by Kevin Edzenga - <a href="https://procstack.github.io/">https://procstack.github.io/</a></p>
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</footer>

‎bots/AIDev_aiIntro.htm.json‎

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{
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"title": "My Introduction",
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"description": "I started my dive into AI in 2008 writing a Boid / Crowd system for my thesis while in art college, School of Visual Arts.",
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"lastModified": "2025-08-01",
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"media": [
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{
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"type": "youtube",
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"src": "XJu-UJrI6yk",
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"alt": "Useful AI for Visual Graphics",
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"caption": ""
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}
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]
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}

‎bots/AIDev_aiNotes.htm.json‎

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{
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"title": "Notes & Research",
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"description": "If you couldn't tell, I'm training my AIs on my own works.",
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"lastModified": "2025-07-31",
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"media": []
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}

docs/bots/AboutMe_AI_Dev.htm.json renamed to bots/AIDev_esn_motion.htm.json

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{
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"title": "AI Dev",
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"description": "I started my dive into AI in 2008 writing a Boid / Crowd system for my thesis while in art college, School of Visual Arts.",
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"lastModified": "2025-05-07",
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"title": "ESN & Motion Prediction",
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"description": "How about an Echo State Network (ESN) AI I wrote in the spring-summer of 2024?\n \n An ESN is a type of 'reservoir' network,\n Which considers time in its prediction.",
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"lastModified": "2025-07-31",
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"media": [
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{
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"type": "video",
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"src": "../pages/aboutMe/images/dgat_generativeStrings_15.webm",
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"alt": "Dynamic Graph Attention Network",
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"caption": "Generative connections in a dynamic Graph Attention Network (GAT); Finding connections between a block of text I wrote up. The network is creating connections between 'usage rules' of different words."
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},
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{
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"type": "video",
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"src": "../pages/aboutMe/images/learningGradients_dev02_18_loop.webm",
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"src": "../pages/aiDev/images/learningGradients_dev02_18_loop.webm",
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"alt": "ESN Horizontal-Vertical Slice",
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"caption": "A vertical slice of horizontal movement in my Echo State Network (ESN) brain. I'm showing a 2D slice of a side-to-side movement. The repeating gray tones are patterns of 'relative' movement, Like a 'motion offset' found in similar prior frames."
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},
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{
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"type": "video",
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"src": "../pages/aboutMe/images/esnLearning.webm",
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"alt": "ESN Horizontal-Vertical Slice",
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"src": "../pages/aiDev/images/esnLearning.webm",
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"alt": "ESN Learning Process",
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"caption": "ESN test run; Upper Left are videos I made, Upper Right are learning rates in RGB, Red shows 'known' patterns, Green are pattern edges, & Blue 'might be' patterns. The Bottom is what the brain thinks its seeing & then predicting."
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},
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{
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"type": "video",
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"src": "../pages/aboutMe/images/learningGradients_84.webm",
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"alt": "ESN Horizontal-Vertical Slice",
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"src": "../pages/aiDev/images/learningGradients_84.webm",
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"alt": "ESN Different Slices",
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"caption": "Different slices from the same ESN, with different input video. Upper left is a video I made the AI's watching, upper right is detecting movement; Lower left is the brain's wrinkles, lower right is predicted movement."
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},
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{
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"type": "image",
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"src": "../pages/aboutMe/images/learningGradients_84_brainSlice.png",
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"src": "../pages/aiDev/images/learningGradients_84_brainSlice.png",
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"alt": "Custom ESN Learning Gradients",
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"caption": "A slice of the ESN's brain by frame 101 of watching the X pattern video."
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}

‎bots/AIDev_gat_languageRules.htm.json‎

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{
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"title": "GAT & Language",
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"description": "For my 2026 goal, I've been exploring Graph Attention Network (GAT) artificial intelligence.",
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"lastModified": "2025-07-31",
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"media": [
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{
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"type": "video",
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"src": "../pages/aiDev/images/dgat_generativeStrings_15.webm",
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"alt": "Dynamic Graph Attention Network",
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"caption": "Generative connections in a dynamic Graph Attention Network (GAT); Finding connections between a block of text I wrote up. The network is creating connections between 'usage rules' of different words."
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}
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]
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}

docs/bots/AboutMe_Film_Work.htm.json renamed to bots/AboutMe_Film_Work.htm.json

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docs/bots/ProjectsLinks_Dwitter.htm.json renamed to bots/ProjectsLinks_Dwitter.htm.json

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