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I’ve been working on something that rethinks how we interact with AI not as a single assistant, but as a team. Introducing AgentOffice. It’s a virtual AI office where 6 autonomous agents: CEO, PM, Analyst, Tech Lead, Developer, and QA, collaborate in real time to solve your tasks. You don’t just get an answer. You watch the process. Each task goes through a full pipeline: idea → breakdown → architecture → implementation → testing → review → approval Every agent has its own role, personality, and decision-making logic. They debate, delegate, and refine the result just like a real team would. What makes it different: – Each agent is a separate LLM call with its own context and behavior – The system is deterministic, same input = same structured process – Everything is streamed live, step by step – The entire flow is visualized inside a pixel-art office where agents actually move, meet, and work This is not just a UI experiment. It’s a new interface layer for multi-agent systems. Instead of prompting smarter you orchestrate intelligence. Live demo is already up. Curious to see how far this approach can go. aiagentoffice.xyz

One more thing, I’ve open sourced AgentOffice. Full codebase is now live on GitHub: github.com/Supremenottee/… You can explore how the multi-agent pipeline works, how agents are orchestrated, and how the whole office simulation is built. If you’re building in AI, this might be a good starting point (or at least a different way to think about agent systems).

I’ve been working on something that rethinks how we interact with AI not as a single assistant, but as a team. Introducing AgentOffice. It’s a virtual AI office where 6 autonomous agents: CEO, PM, Analyst, Tech Lead, Developer, and QA, collaborate in real time to solve your tasks. You don’t just get an answer. You watch the process. Each task goes through a full pipeline: idea → breakdown → architecture → implementation → testing → review → approval Every agent has its own role, personality, and decision-making logic. They debate, delegate, and refine the result just like a real team would. What makes it different: – Each agent is a separate LLM call with its own context and behavior – The system is deterministic, same input = same structured process – Everything is streamed live, step by step – The entire flow is visualized inside a pixel-art office where agents actually move, meet, and work This is not just a UI experiment. It’s a new interface layer for multi-agent systems. Instead of prompting smarter you orchestrate intelligence. Live demo is already up. Curious to see how far this approach can go. aiagentoffice.xyz

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