Building a Hybrid AI Operating System
What if the valuable part of an AI system is not the model, app, or agent, but the operating layer around them? In this AI&U video, we build a practical Hybrid AI Operating System: a model-agnostic layer for source-of-truth files, task packets, tool permissions, evidence receipts, review gates, and fresh-session continuity. Chapters: 00:00 Hook: The AI Tool Problem 02:18 What a Hybrid AI OS Is 04:29 Model-Agnostic Architecture 06:25 Knowledge Layer 08:55 Source-of-Truth Files 11:12 Work Spine 13:34 Tool and MCP Layer 15:47 Fresh-Session Handoffs 17:44 Agent Environments 19:24 Visual Proof Walkthrough 21:30 Minimum Viable AI OS 24:07 Make It Fit Your Work 25:38 Failure Modes and Governance 28:05 Operating Layer Advantage If you want the starter-kit structure behind this video, comment: AI OS. Subscribe for practical AI systems, agent workflows, and operating-layer design.
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