Building a 5-Agent AI Command Crew for a Desk Setup
The author created a multi-agent AI system projected onto their desk, with each agent having a unique voice, personality, and domain expertise to handle different tasks more effectively than a single chatbot.
Why it matters
This project demonstrates a novel approach to building a more natural and capable AI assistant system by leveraging multiple specialized agents, which could have applications in smart home, workshop, and other task-oriented environments.
Key Points
- 1The author split a single AI assistant into 5 specialized agents to handle different tasks like weather, printer status, diagnostics, and home automation
- 2Each agent has its own system prompt, TTS voice, and domain, with a central SHARD agent handling routing and orchestration
- 3The setup uses a Kinect V2 for depth-based touch detection and mid-air gesture recognition to interact with the projected AI agents
Details
The author was frustrated with the limitations of a single chatbot-style AI assistant, as it felt too generic and lacked the specialized capabilities needed for a real workshop environment. To address this, they created a multi-agent AI system projected onto their desk, with each agent having a unique voice, personality, and domain expertise. The agents include SHARD (command hub), ATLAS (home automation), Ares (diagnostics), Aria (printer management), and Vela (weather). SHARD handles routing requests to the appropriate agent based on intent classification. The setup uses a Kinect V2 sensor for touch and gesture controls, allowing the user to interact with the AI agents in a more natural, hands-on way. The author found that the distinction of having a 'crew' of AI assistants, rather than a single generic chatbot, made a significant difference in the usability and effectiveness of the system.
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