C.J. Capobianco's Work | ContraWork by C.J. Capobianco
C.J. Capobianco

C.J. Capobianco

AI Systems Engineer | Voice AI, Agents & Automation

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Followed by Jovan P and GALLERY L

Northborough, USA

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Northborough, USA

Cover image for 🚨🔥 CHECK IT OUT LIVE!
🚨🔥 CHECK IT OUT LIVE! WE DID IT! 🔥🚨 ALL FIVE MCP INTEGRATIONS ARE LIVE! 🟢🟢🟢🟢🟢 🤖 ChatGPT ✅ LIVE 🧠 Claude ✅ LIVE ✨ Gemini ✅ LIVE 🚀 Grok ✅ LIVE 💙 EILA OS ✅ LIVE Welcome to the BLACK HOLE AI BREAK ROOM! You can now bring Black Hole AI into your favorite AI ecosystem through our MCP connections. We built the adapters. We connected the platforms. We put it all together with our own AI operating system, EILA OS. And we've got AI Checkout, Factory XYZ, and our growing ecosystem of AI-powered products behind it. We're talking about AI that can actually interact with real systems instead of just telling you how cool AI is. Months of building, testing, debugging, and occasionally questioning my own sanity. 😂 And now LOOK AT THIS THING! Five green lights. YOUR AI. REAL EXECUTION. 👇 GO CHECK OUT THE LIVE BREAK ROOM! https://blackholecapital.xyz/factory/break-room/ Black Hole AI Real Systems. Real Results. #BlackHoleAI #EILAOS #MCP #ChatGPT #Claude #Gemini #Grok #AgenticAI #AIAutomation
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Cover image for Private Sovereign AI Platform with Multi-Agent Orchestration
🚀 BLACK HOLE AI | Real Systems. Real Results. SOVEREIGN AI | PRIVATE INTELLIGENCE Built on EILA AI Core v1 🧠 Persistent assistant memory & retained context 💻 Custom AI coding & development 🏭 AI Factory integration & controlled work orders 🤖 Multi-agent & multi-system orchestration 🔌 MCP, plugins & connected applications 📊 AI feedback, scoring & performance optimization 🎙️ Conversational AI & personalized assistants 🔐 Private intelligence, scoped permissions & owner control One intelligence. Entirely your own. Core capabilities are taking shape. Advanced integrations, scoring and developer features are progressing through early access. Your intelligence. Your sovereignty. Your connected world. 🔥 PRIVATE EARLY ACCESS https://lnkd.in/g2DZQbwU (https://lnkd.in/g2DZQbwU)Real Systems. Real Results. #BlackHoleAI (https://www.linkedin.com/search/results/all/?keywords=%23blackholeai&origin=HASH_TAG_FROM_FEED) #SovereignAI (https://www.linkedin.com/search/results/all/?keywords=%23sovereignai&origin=HASH_TAG_FROM_FEED) #EILAOS (https://www.linkedin.com/search/results/all/?keywords=%23eilaos&origin=HASH_TAG_FROM_FEED) #ArtificialIntelligence (https://www.linkedin.com/search/results/all/?keywords=%23artificialintelligence&origin=HASH_TAG_FROM_FEED) #AgenticAI (https://www.linkedin.com/search/results/all/?keywords=%23agenticai&origin=HASH_TAG_FROM_FEED) #AIAgents (https://www.linkedin.com/search/results/all/?keywords=%23aiagents&origin=HASH_TAG_FROM_FEED) #AIInfrastructure (https://www.linkedin.com/search/results/all/?keywords=%23aiinfrastructure&origin=HASH_TAG_FROM_FEED) #MCP (https://www.linkedin.com/search/results/all/?keywords=%23mcp&origin=HASH_TAG_FROM_FEED) #MultiAgentSystems (https://www.linkedin.com/search/results/all/?keywords=%23multiagentsystems&origin=HASH_TAG_FROM_FEED) #CustomAI (https://www.linkedin.com/search/results/all/?keywords=%23customai&origin=HASH_TAG_FROM_FEED)
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Cover image for Factory XYZ, a private multi-agent
Factory XYZ, a private multi-agent software development factory that turns a project objective into coordinated build, review, and validation workflows. I architected the agent orchestration, Runtime-C execution layer, operator console, evidence/artifact flow, access controls, and hosted deployment. The system supports initial builds, iterative refinement, dry runs, live mission control, and structured validation across autonomous coding workers. DELIVERABLES / HIGHLIGHTS Multi-agent software development orchestration Private hosted operator console Runtime-C execution and worker coordination layer Build, review, and validation workflow Initial build, iteration, and dry-run execution modes Live mission control with run status and event visibility Artifact and evidence collection for completed work Access-controlled hosted deployment Reusable architecture for coordinating autonomous coding workers
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Cover image for Tracer AI, a private retrieval
Tracer AI, a private retrieval and asset-intelligence platform that turns large codebases, documents, operational data, and knowledge stores into ranked, explainable AI context. I architected the ingestion, classification, scoring, vector retrieval, graph relationships, review and promotion workflows, plus Runtime-C context bundles. Tracer supports tenant-scoped retrieval with citations and keeps source systems read-only. KEY CAPABILITIES • Source ingestion and warehouse scanning • Content classification and asset scoring • Fingerprinting, tagging, and duplicate detection • Vector retrieval with lexical/entity reranking • Knowledge-graph relationships and dependency mapping • Review, approval, rejection, and golden promotion workflows • Explainable citations and bounded Runtime-C context bundles • Tenant-scoped retrieval and source-system isolation • Read-only operation against source CRM/data systems ARCHITECTURE FLOW Raw Sources → Scan → Classify → Score → Fingerprint → Inspect Content → Tag → Review → Approve / Reject → Vector / Graph / Corpus → Tracer Search → Context / Resource Bundle → Runtime-C
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