View blackeagle273's full-sized avatar
26 followers · 20 following

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    Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO

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    blackeagle273/README.md

    🤖 Senior AI Agent Engineer | LangGraph | MCP | Supabase | Multi-Agent Systems

    Typing SVG

    👋 About Me

    I’m John Smith, a Senior AI Agent Engineer based in Toronto, Canada, focused on building production-ready autonomous systems for business automation and decision intelligence.

    My work centers on:

    • LangGraph-based multi-agent orchestration
    • MCP tool integration and agent communication
    • Supabase + pgvector retrieval systems
    • Computer-use AI and browser automation
    • ERP, supplier, buyer, and operational data workflows
    • Backend services for intelligent business systems

    I build AI agents that can read business systems, reason across structured and unstructured data, and generate context-aware actions or recommendations.

    🚀 What I Specialize In

    AI Agent Systems

    • Multi-Agent Architecture
    • LangGraph Workflows
    • Task Routing and State Management
    • Autonomous Decision Systems
    • Tool-Using AI Agents
    • Agent Memory and Context Design

    AI Infrastructure

    • Python
    • FastAPI
    • LangChain
    • MCP
    • OpenAI / Claude / OpenRouter
    • LangSmith Observability

    Data & Retrieval

    • Supabase
    • pgvector
    • PostgreSQL
    • Vector Search
    • RAG Pipelines
    • Semantic Retrieval

    Computer-Use Automation

    • Playwright
    • Browser Automation
    • Dashboard / ERP Data Extraction
    • OpenClaw-style Agent Design
    • Workflow Automation

    Backend & Production Systems

    • Redis
    • API Integrations
    • Async Services
    • Event-Driven Workflows
    • Cloud Deployment
    • Scalable Service Architecture

    🧠 Featured Focus

    I am especially interested in projects involving:

    • AI agents that interact directly with ERP and business platforms
    • Cross-system reasoning using supplier, buyer, and operations data
    • Autonomous purchasing, recommendation, or workflow agents
    • Production-grade multi-agent systems for SMBs and enterprise teams
    • Low-latency, scalable AI infrastructure with reliable orchestration

    🛠 Tech Stack

    PythonLangChainFastAPISupabasePostgreSQLRedisPlaywrightTypeScriptNode.jsDocker

    📌 Current Direction

    • Building AI agents for business operations and decision support
    • Exploring computer-use AI for ERP and dashboard interaction
    • Designing scalable multi-agent systems with retrieval and tool use
    • Creating production-ready backend systems for autonomous workflows

    🤝 Open To

    • Senior AI agent engineering roles
    • Multi-agent system architecture projects
    • LangGraph / MCP implementation work
    • Supabase pgvector and RAG system development
    • ERP automation and intelligent procurement workflows

    📫 Contact

    ⭐ I build AI systems that move beyond chat and take action across real business workflows.

    Popular repositories Loading

    1. docker-web-recorder docker-web-recorderPublic

      TypeScript 3

    2. s3mer s3merPublic

      TypeScript 3

    3. coding_playground coding_playgroundPublic

      JavaScript 1

    4. blackeagle273 blackeagle273Public

      1

    5. voice-assistant-frontend voice-assistant-frontendPublic

      TypeScript

    6. telegram_bot telegram_botPublic

    , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
     blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

    Skip to content
    View blackeagle273's full-sized avatar
    26
followers
 · 20
following

      Achievements
      Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO
      Achievements
      Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO
      
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      blackeagle273/README.md
      🤖 Senior AI Agent Engineer | LangGraph | MCP | Supabase | Multi-Agent Systems
      Typing SVG
      👋 About Me
      I’m John Smith, a Senior AI Agent Engineer based in Toronto, Canada, focused on building production-ready autonomous systems for business automation and decision intelligence.
      My work centers on:
      • LangGraph-based multi-agent orchestration
      • MCP tool integration and agent communication
      • Supabase + pgvector retrieval systems
      • Computer-use AI and browser automation
      • ERP, supplier, buyer, and operational data workflows
      • Backend services for intelligent business systems
      I build AI agents that can read business systems, reason across structured and unstructured data, and generate context-aware actions or recommendations.
      🚀 What I Specialize In
      AI Agent Systems
      • Multi-Agent Architecture
      • LangGraph Workflows
      • Task Routing and State Management
      • Autonomous Decision Systems
      • Tool-Using AI Agents
      • Agent Memory and Context Design
      AI Infrastructure
      • Python
      • FastAPI
      • LangChain
      • MCP
      • OpenAI / Claude / OpenRouter
      • LangSmith Observability
      Data & Retrieval
      • Supabase
      • pgvector
      • PostgreSQL
      • Vector Search
      • RAG Pipelines
      • Semantic Retrieval
      Computer-Use Automation
      • Playwright
      • Browser Automation
      • Dashboard / ERP Data Extraction
      • OpenClaw-style Agent Design
      • Workflow Automation
      Backend & Production Systems
      • Redis
      • API Integrations
      • Async Services
      • Event-Driven Workflows
      • Cloud Deployment
      • Scalable Service Architecture
      🧠 Featured Focus
      I am especially interested in projects involving:
      • AI agents that interact directly with ERP and business platforms
      • Cross-system reasoning using supplier, buyer, and operations data
      • Autonomous purchasing, recommendation, or workflow agents
      • Production-grade multi-agent systems for SMBs and enterprise teams
      • Low-latency, scalable AI infrastructure with reliable orchestration
      🛠 Tech Stack
      PythonLangChainFastAPISupabasePostgreSQLRedisPlaywrightTypeScriptNode.jsDocker
      📌 Current Direction
      • Building AI agents for business operations and decision support
      • Exploring computer-use AI for ERP and dashboard interaction
      • Designing scalable multi-agent systems with retrieval and tool use
      • Creating production-ready backend systems for autonomous workflows
      🤝 Open To
      • Senior AI agent engineering roles
      • Multi-agent system architecture projects
      • LangGraph / MCP implementation work
      • Supabase pgvector and RAG system development
      • ERP automation and intelligent procurement workflows
      📫 Contact
      ⭐ I build AI systems that move beyond chat and take action across real business workflows.
      
Popular repositories
Loading
      1. 
docker-web-recorder
docker-web-recorderPublic
        TypeScript
3

      2. 
s3mer
s3merPublic
        TypeScript
3

      3. 
coding_playground
coding_playgroundPublic
        JavaScript
1

      4. 
blackeagle273
blackeagle273Public
        
1

      5. 
voice-assistant-frontend
voice-assistant-frontendPublic
        TypeScript
      6. 
telegram_bot
telegram_botPublic
      
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

      Skip to content
      View blackeagle273's full-sized avatar
      26
followers
 · 20
following

        Achievements
        Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO
        Achievements
        Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO
        
Block or report blackeagle273

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Learn more about blocking users.

        
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        Report abuse
        
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Learn more about reporting abuse.

        Report abuse
        blackeagle273/README.md
        🤖 Senior AI Agent Engineer | LangGraph | MCP | Supabase | Multi-Agent Systems
        Typing SVG
        👋 About Me
        I’m John Smith, a Senior AI Agent Engineer based in Toronto, Canada, focused on building production-ready autonomous systems for business automation and decision intelligence.
        My work centers on:
        • LangGraph-based multi-agent orchestration
        • MCP tool integration and agent communication
        • Supabase + pgvector retrieval systems
        • Computer-use AI and browser automation
        • ERP, supplier, buyer, and operational data workflows
        • Backend services for intelligent business systems
        I build AI agents that can read business systems, reason across structured and unstructured data, and generate context-aware actions or recommendations.
        🚀 What I Specialize In
        AI Agent Systems
        • Multi-Agent Architecture
        • LangGraph Workflows
        • Task Routing and State Management
        • Autonomous Decision Systems
        • Tool-Using AI Agents
        • Agent Memory and Context Design
        AI Infrastructure
        • Python
        • FastAPI
        • LangChain
        • MCP
        • OpenAI / Claude / OpenRouter
        • LangSmith Observability
        Data & Retrieval
        • Supabase
        • pgvector
        • PostgreSQL
        • Vector Search
        • RAG Pipelines
        • Semantic Retrieval
        Computer-Use Automation
        • Playwright
        • Browser Automation
        • Dashboard / ERP Data Extraction
        • OpenClaw-style Agent Design
        • Workflow Automation
        Backend & Production Systems
        • Redis
        • API Integrations
        • Async Services
        • Event-Driven Workflows
        • Cloud Deployment
        • Scalable Service Architecture
        🧠 Featured Focus
        I am especially interested in projects involving:
        • AI agents that interact directly with ERP and business platforms
        • Cross-system reasoning using supplier, buyer, and operations data
        • Autonomous purchasing, recommendation, or workflow agents
        • Production-grade multi-agent systems for SMBs and enterprise teams
        • Low-latency, scalable AI infrastructure with reliable orchestration
        🛠 Tech Stack
        PythonLangChainFastAPISupabasePostgreSQLRedisPlaywrightTypeScriptNode.jsDocker
        📌 Current Direction
        • Building AI agents for business operations and decision support
        • Exploring computer-use AI for ERP and dashboard interaction
        • Designing scalable multi-agent systems with retrieval and tool use
        • Creating production-ready backend systems for autonomous workflows
        🤝 Open To
        • Senior AI agent engineering roles
        • Multi-agent system architecture projects
        • LangGraph / MCP implementation work
        • Supabase pgvector and RAG system development
        • ERP automation and intelligent procurement workflows
        📫 Contact
        ⭐ I build AI systems that move beyond chat and take action across real business workflows.
        
Popular repositories
Loading
        1. 
docker-web-recorder
docker-web-recorderPublic
          TypeScript
3

        2. 
s3mer
s3merPublic
          TypeScript
3

        3. 
coding_playground
coding_playgroundPublic
          JavaScript
1

        4. 
blackeagle273
blackeagle273Public
          
1

        5. 
voice-assistant-frontend
voice-assistant-frontendPublic
          TypeScript
        6. 
telegram_bot
telegram_botPublic
        
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

        Skip to content
        View blackeagle273's full-sized avatar
        26
followers
 · 20
following

          Achievements
          Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO
          Achievements
          Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO
          
Block or report blackeagle273

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          Report abuse
          blackeagle273/README.md
          🤖 Senior AI Agent Engineer | LangGraph | MCP | Supabase | Multi-Agent Systems
          Typing SVG
          👋 About Me
          I’m John Smith, a Senior AI Agent Engineer based in Toronto, Canada, focused on building production-ready autonomous systems for business automation and decision intelligence.
          My work centers on:
          • LangGraph-based multi-agent orchestration
          • MCP tool integration and agent communication
          • Supabase + pgvector retrieval systems
          • Computer-use AI and browser automation
          • ERP, supplier, buyer, and operational data workflows
          • Backend services for intelligent business systems
          I build AI agents that can read business systems, reason across structured and unstructured data, and generate context-aware actions or recommendations.
          🚀 What I Specialize In
          AI Agent Systems
          • Multi-Agent Architecture
          • LangGraph Workflows
          • Task Routing and State Management
          • Autonomous Decision Systems
          • Tool-Using AI Agents
          • Agent Memory and Context Design
          AI Infrastructure
          • Python
          • FastAPI
          • LangChain
          • MCP
          • OpenAI / Claude / OpenRouter
          • LangSmith Observability
          Data & Retrieval
          • Supabase
          • pgvector
          • PostgreSQL
          • Vector Search
          • RAG Pipelines
          • Semantic Retrieval
          Computer-Use Automation
          • Playwright
          • Browser Automation
          • Dashboard / ERP Data Extraction
          • OpenClaw-style Agent Design
          • Workflow Automation
          Backend & Production Systems
          • Redis
          • API Integrations
          • Async Services
          • Event-Driven Workflows
          • Cloud Deployment
          • Scalable Service Architecture
          🧠 Featured Focus
          I am especially interested in projects involving:
          • AI agents that interact directly with ERP and business platforms
          • Cross-system reasoning using supplier, buyer, and operations data
          • Autonomous purchasing, recommendation, or workflow agents
          • Production-grade multi-agent systems for SMBs and enterprise teams
          • Low-latency, scalable AI infrastructure with reliable orchestration
          🛠 Tech Stack
          PythonLangChainFastAPISupabasePostgreSQLRedisPlaywrightTypeScriptNode.jsDocker
          📌 Current Direction
          • Building AI agents for business operations and decision support
          • Exploring computer-use AI for ERP and dashboard interaction
          • Designing scalable multi-agent systems with retrieval and tool use
          • Creating production-ready backend systems for autonomous workflows
          🤝 Open To
          • Senior AI agent engineering roles
          • Multi-agent system architecture projects
          • LangGraph / MCP implementation work
          • Supabase pgvector and RAG system development
          • ERP automation and intelligent procurement workflows
          📫 Contact
          ⭐ I build AI systems that move beyond chat and take action across real business workflows.
          
Popular repositories
Loading
          1. 
docker-web-recorder
docker-web-recorderPublic
            TypeScript
3

          2. 
s3mer
s3merPublic
            TypeScript
3

          3. 
coding_playground
coding_playgroundPublic
            JavaScript
1

          4. 
blackeagle273
blackeagle273Public
            
1

          5. 
voice-assistant-frontend
voice-assistant-frontendPublic
            TypeScript
          6. 
telegram_bot
telegram_botPublic
          
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

          Skip to content
          View blackeagle273's full-sized avatar
          26
followers
 · 20
following

            Achievements
            Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO
            Achievements
            Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO
            
Block or report blackeagle273

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Learn more about blocking users.

            
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Learn more about reporting abuse.

            Report abuse
            blackeagle273/README.md
            🤖 Senior AI Agent Engineer | LangGraph | MCP | Supabase | Multi-Agent Systems
            Typing SVG
            👋 About Me
            I’m John Smith, a Senior AI Agent Engineer based in Toronto, Canada, focused on building production-ready autonomous systems for business automation and decision intelligence.
            My work centers on:
            • LangGraph-based multi-agent orchestration
            • MCP tool integration and agent communication
            • Supabase + pgvector retrieval systems
            • Computer-use AI and browser automation
            • ERP, supplier, buyer, and operational data workflows
            • Backend services for intelligent business systems
            I build AI agents that can read business systems, reason across structured and unstructured data, and generate context-aware actions or recommendations.
            🚀 What I Specialize In
            AI Agent Systems
            • Multi-Agent Architecture
            • LangGraph Workflows
            • Task Routing and State Management
            • Autonomous Decision Systems
            • Tool-Using AI Agents
            • Agent Memory and Context Design
            AI Infrastructure
            • Python
            • FastAPI
            • LangChain
            • MCP
            • OpenAI / Claude / OpenRouter
            • LangSmith Observability
            Data & Retrieval
            • Supabase
            • pgvector
            • PostgreSQL
            • Vector Search
            • RAG Pipelines
            • Semantic Retrieval
            Computer-Use Automation
            • Playwright
            • Browser Automation
            • Dashboard / ERP Data Extraction
            • OpenClaw-style Agent Design
            • Workflow Automation
            Backend & Production Systems
            • Redis
            • API Integrations
            • Async Services
            • Event-Driven Workflows
            • Cloud Deployment
            • Scalable Service Architecture
            🧠 Featured Focus
            I am especially interested in projects involving:
            • AI agents that interact directly with ERP and business platforms
            • Cross-system reasoning using supplier, buyer, and operations data
            • Autonomous purchasing, recommendation, or workflow agents
            • Production-grade multi-agent systems for SMBs and enterprise teams
            • Low-latency, scalable AI infrastructure with reliable orchestration
            🛠 Tech Stack
            PythonLangChainFastAPISupabasePostgreSQLRedisPlaywrightTypeScriptNode.jsDocker
            📌 Current Direction
            • Building AI agents for business operations and decision support
            • Exploring computer-use AI for ERP and dashboard interaction
            • Designing scalable multi-agent systems with retrieval and tool use
            • Creating production-ready backend systems for autonomous workflows
            🤝 Open To
            • Senior AI agent engineering roles
            • Multi-agent system architecture projects
            • LangGraph / MCP implementation work
            • Supabase pgvector and RAG system development
            • ERP automation and intelligent procurement workflows
            📫 Contact
            ⭐ I build AI systems that move beyond chat and take action across real business workflows.
            
Popular repositories
Loading
            1. 
docker-web-recorder
docker-web-recorderPublic
              TypeScript
3

            2. 
s3mer
s3merPublic
              TypeScript
3

            3. 
coding_playground
coding_playgroundPublic
              JavaScript
1

            4. 
blackeagle273
blackeagle273Public
              
1

            5. 
voice-assistant-frontend
voice-assistant-frontendPublic
              TypeScript
            6. 
telegram_bot
telegram_botPublic
            
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

            Skip to content
            View blackeagle273's full-sized avatar
            26
followers
 · 20
following

              Achievements
              Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO
              Achievements
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              blackeagle273/README.md
              🤖 Senior AI Agent Engineer | LangGraph | MCP | Supabase | Multi-Agent Systems
              Typing SVG
              👋 About Me
              I’m John Smith, a Senior AI Agent Engineer based in Toronto, Canada, focused on building production-ready autonomous systems for business automation and decision intelligence.
              My work centers on:
              • LangGraph-based multi-agent orchestration
              • MCP tool integration and agent communication
              • Supabase + pgvector retrieval systems
              • Computer-use AI and browser automation
              • ERP, supplier, buyer, and operational data workflows
              • Backend services for intelligent business systems
              I build AI agents that can read business systems, reason across structured and unstructured data, and generate context-aware actions or recommendations.
              🚀 What I Specialize In
              AI Agent Systems
              • Multi-Agent Architecture
              • LangGraph Workflows
              • Task Routing and State Management
              • Autonomous Decision Systems
              • Tool-Using AI Agents
              • Agent Memory and Context Design
              AI Infrastructure
              • Python
              • FastAPI
              • LangChain
              • MCP
              • OpenAI / Claude / OpenRouter
              • LangSmith Observability
              Data & Retrieval
              • Supabase
              • pgvector
              • PostgreSQL
              • Vector Search
              • RAG Pipelines
              • Semantic Retrieval
              Computer-Use Automation
              • Playwright
              • Browser Automation
              • Dashboard / ERP Data Extraction
              • OpenClaw-style Agent Design
              • Workflow Automation
              Backend & Production Systems
              • Redis
              • API Integrations
              • Async Services
              • Event-Driven Workflows
              • Cloud Deployment
              • Scalable Service Architecture
              🧠 Featured Focus
              I am especially interested in projects involving:
              • AI agents that interact directly with ERP and business platforms
              • Cross-system reasoning using supplier, buyer, and operations data
              • Autonomous purchasing, recommendation, or workflow agents
              • Production-grade multi-agent systems for SMBs and enterprise teams
              • Low-latency, scalable AI infrastructure with reliable orchestration
              🛠 Tech Stack
              PythonLangChainFastAPISupabasePostgreSQLRedisPlaywrightTypeScriptNode.jsDocker
              📌 Current Direction
              • Building AI agents for business operations and decision support
              • Exploring computer-use AI for ERP and dashboard interaction
              • Designing scalable multi-agent systems with retrieval and tool use
              • Creating production-ready backend systems for autonomous workflows
              🤝 Open To
              • Senior AI agent engineering roles
              • Multi-agent system architecture projects
              • LangGraph / MCP implementation work
              • Supabase pgvector and RAG system development
              • ERP automation and intelligent procurement workflows
              📫 Contact
              ⭐ I build AI systems that move beyond chat and take action across real business workflows.
              
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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              26
followers
 · 20
following

                Achievements
                Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO
                Achievements
                Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO
                
Block or report blackeagle273

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                blackeagle273/README.md
                🤖 Senior AI Agent Engineer | LangGraph | MCP | Supabase | Multi-Agent Systems
                Typing SVG
                👋 About Me
                I’m John Smith, a Senior AI Agent Engineer based in Toronto, Canada, focused on building production-ready autonomous systems for business automation and decision intelligence.
                My work centers on:
                • LangGraph-based multi-agent orchestration
                • MCP tool integration and agent communication
                • Supabase + pgvector retrieval systems
                • Computer-use AI and browser automation
                • ERP, supplier, buyer, and operational data workflows
                • Backend services for intelligent business systems
                I build AI agents that can read business systems, reason across structured and unstructured data, and generate context-aware actions or recommendations.
                🚀 What I Specialize In
                AI Agent Systems
                • Multi-Agent Architecture
                • LangGraph Workflows
                • Task Routing and State Management
                • Autonomous Decision Systems
                • Tool-Using AI Agents
                • Agent Memory and Context Design
                AI Infrastructure
                • Python
                • FastAPI
                • LangChain
                • MCP
                • OpenAI / Claude / OpenRouter
                • LangSmith Observability
                Data & Retrieval
                • Supabase
                • pgvector
                • PostgreSQL
                • Vector Search
                • RAG Pipelines
                • Semantic Retrieval
                Computer-Use Automation
                • Playwright
                • Browser Automation
                • Dashboard / ERP Data Extraction
                • OpenClaw-style Agent Design
                • Workflow Automation
                Backend & Production Systems
                • Redis
                • API Integrations
                • Async Services
                • Event-Driven Workflows
                • Cloud Deployment
                • Scalable Service Architecture
                🧠 Featured Focus
                I am especially interested in projects involving:
                • AI agents that interact directly with ERP and business platforms
                • Cross-system reasoning using supplier, buyer, and operations data
                • Autonomous purchasing, recommendation, or workflow agents
                • Production-grade multi-agent systems for SMBs and enterprise teams
                • Low-latency, scalable AI infrastructure with reliable orchestration
                🛠 Tech Stack
                PythonLangChainFastAPISupabasePostgreSQLRedisPlaywrightTypeScriptNode.jsDocker
                📌 Current Direction
                • Building AI agents for business operations and decision support
                • Exploring computer-use AI for ERP and dashboard interaction
                • Designing scalable multi-agent systems with retrieval and tool use
                • Creating production-ready backend systems for autonomous workflows
                🤝 Open To
                • Senior AI agent engineering roles
                • Multi-agent system architecture projects
                • LangGraph / MCP implementation work
                • Supabase pgvector and RAG system development
                • ERP automation and intelligent procurement workflows
                📫 Contact
                ⭐ I build AI systems that move beyond chat and take action across real business workflows.
                
Popular repositories
Loading
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docker-web-recorder
docker-web-recorderPublic
                  TypeScript
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                2. 
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coding_playground
coding_playgroundPublic
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                4. 
blackeagle273
blackeagle273Public
                  
1

                5. 
voice-assistant-frontend
voice-assistant-frontendPublic
                  TypeScript
                6. 
telegram_bot
telegram_botPublic
                
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

                Skip to content
                View blackeagle273's full-sized avatar
                26
followers
 · 20
following

                  Achievements
                  Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO
                  Achievements
                  Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO
                  
Block or report blackeagle273

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                  blackeagle273/README.md
                  🤖 Senior AI Agent Engineer | LangGraph | MCP | Supabase | Multi-Agent Systems
                  Typing SVG
                  👋 About Me
                  I’m John Smith, a Senior AI Agent Engineer based in Toronto, Canada, focused on building production-ready autonomous systems for business automation and decision intelligence.
                  My work centers on:
                  • LangGraph-based multi-agent orchestration
                  • MCP tool integration and agent communication
                  • Supabase + pgvector retrieval systems
                  • Computer-use AI and browser automation
                  • ERP, supplier, buyer, and operational data workflows
                  • Backend services for intelligent business systems
                  I build AI agents that can read business systems, reason across structured and unstructured data, and generate context-aware actions or recommendations.
                  🚀 What I Specialize In
                  AI Agent Systems
                  • Multi-Agent Architecture
                  • LangGraph Workflows
                  • Task Routing and State Management
                  • Autonomous Decision Systems
                  • Tool-Using AI Agents
                  • Agent Memory and Context Design
                  AI Infrastructure
                  • Python
                  • FastAPI
                  • LangChain
                  • MCP
                  • OpenAI / Claude / OpenRouter
                  • LangSmith Observability
                  Data & Retrieval
                  • Supabase
                  • pgvector
                  • PostgreSQL
                  • Vector Search
                  • RAG Pipelines
                  • Semantic Retrieval
                  Computer-Use Automation
                  • Playwright
                  • Browser Automation
                  • Dashboard / ERP Data Extraction
                  • OpenClaw-style Agent Design
                  • Workflow Automation
                  Backend & Production Systems
                  • Redis
                  • API Integrations
                  • Async Services
                  • Event-Driven Workflows
                  • Cloud Deployment
                  • Scalable Service Architecture
                  🧠 Featured Focus
                  I am especially interested in projects involving:
                  • AI agents that interact directly with ERP and business platforms
                  • Cross-system reasoning using supplier, buyer, and operations data
                  • Autonomous purchasing, recommendation, or workflow agents
                  • Production-grade multi-agent systems for SMBs and enterprise teams
                  • Low-latency, scalable AI infrastructure with reliable orchestration
                  🛠 Tech Stack
                  PythonLangChainFastAPISupabasePostgreSQLRedisPlaywrightTypeScriptNode.jsDocker
                  📌 Current Direction
                  • Building AI agents for business operations and decision support
                  • Exploring computer-use AI for ERP and dashboard interaction
                  • Designing scalable multi-agent systems with retrieval and tool use
                  • Creating production-ready backend systems for autonomous workflows
                  🤝 Open To
                  • Senior AI agent engineering roles
                  • Multi-agent system architecture projects
                  • LangGraph / MCP implementation work
                  • Supabase pgvector and RAG system development
                  • ERP automation and intelligent procurement workflows
                  📫 Contact
                  ⭐ I build AI systems that move beyond chat and take action across real business workflows.
                  
Popular repositories
Loading
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docker-web-recorder
docker-web-recorderPublic
                    TypeScript
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                  2. 
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