Hobbyists are debating how to build a private personal AI operating system
DoctorTruthSeeker · reddit · 2026-07-29
The author is asking how hobbyists structure a personal AI operating system in real life, especially for a personal executive-assistant use case.
They describe a system that already works but depends too heavily on frontier models, which raises concerns about cost, token limits, and privacy. They are considering:
- a local LLM router to classify information into privacy tiers
- sanitized documents for sending only non-sensitive context to cloud models
- careful access control and sandboxing for individual agents
- minimizing sensitive data exposure through cloud apps like Slack or Telegram
The post asks for concrete real-world setups, not generic LLM advice, and wants to know which agents deserve their own place in the stack, what access they should get, and how people enforce hard guardrails.
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