🤖 What if you could build your own Jarvis-style AI system that actually remembers your projects, understands your context and helps you get real work done? Most people use AI like a temporary chat window. You ask a question, get an answer, close the conversation and eventually have to explain everything again. But once you connect AI reasoning with persistent knowledge, structured context, tools and reusable workflows, it becomes something much more useful. 🧠⚡ That is the idea behind this 35-slide build. 💻 VS Code + Claude Code gives your AI a workspace where it can understand projects, work with files, assist with code and help execute structured tasks. 💜 Obsidian becomes your knowledge vault. Your notes, research, decisions, project information, lessons learned and ideas can live in a system you control rather than disappearing inside dozens of separate conversations. 📝 CLAUDE.md provides persistent working context. You can document your goals, preferences, project structure, working rules and important instructions so the AI has a clearer understanding of how you want it to operate. 🔗 Tools and integrations expand what the system can do. With appropriate connectors, MCP-based tools and APIs, an AI assistant can work with external services, structured data and other applications instead of being limited to generating text. 🧩 Reusable skills turn repeated work into repeatable systems. If you perform the same workflow regularly, document the process once and create a consistent playbook the AI can follow again. 🧠 The bigger goal is to transform information into usable memory. Meeting notes become context. Research becomes knowledge. Decisions become history. Projects become structured workspaces. Lessons become reusable intelligence. And once the foundation works reliably, you can gradually introduce live data such as calendars, email, databases, APIs and other services. 🌐 🔐 Security matters just as much as capability. Start with the minimum access required, use scoped permissions, protect API keys, review what tools can access and expand permissions only when there is a genuine need. The result is not a magical all-knowing AI. It is something far more practical: a personal AI operating system built around your own context, knowledge, projects and workflows. Your AI can reason. Your vault can remember. Your tools can execute. Your skills can standardise. Your integrations can provide fresh information. And the entire system can become more useful as you improve it. 🚀 The key is not building everything on day one. Start with one vault. Then one project. Then one reusable skill. Then one automation. Then keep compounding. 📈 That is how you move from simply chatting with AI to actually building systems with AI. 💾 Save this carousel because you will want to come back to it when building your own setup. 💬 Would you build your own Jarvis-style AI assistant? Comment JARVIS if you want more practical AI workflow guides like this. #AI #ArtificialIntelligence #ClaudeAI #ClaudeCode #Obsidian - @techserks