Building a Hybrid AI Agent With Local and Cloud Models
My last post covered how to self-host AI models on a Raspberry Pi 5. This one is about what happens when you try to build actual software with a 3B parameter model running on that Pi. Not a demo. Not a proof of concept. Real software that ships, serves requests, and earns money.
This is also a story about decentralizing AI compute. Not in the abstract, not as a philosophy, but as a practical engineering decision. When you move 70% of your AI workload off cloud APIs and onto an $80 computer in your house, you are decentralizing AI. The question is whether it actually works. After three months, I can tell you what does and what doesn’t.
I run an AI agent on a Raspberry Pi 5. It manages email, writes and deploys code, drafts articles, monitors services, and handles infrastructure. The agent uses a mix of local...
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