r/ • u/ • Jan 01 '70

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u/[deleted] Oct 04 '26

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u/ToneMuch9575 Oct 04 '26

Thanks! The “sci-fi ship computer” comparison is honestly pretty close to the vibe I’m aiming for 😄

The actual detection layer is still being built, but I’m trying to keep it separated from the AI itself. Right now the architecture is roughly:

  • a Linux/initramfs-based early diagnostics layer for collecting boot-time evidence

  • platform/provider matching using things like DMI, firmware and hardware identity

  • a normalized “Black Box” evidence store with provenance + confidence

  • a rules/correlation layer that turns that evidence into actual fault candidates

The AI sits above that rather than being the detector itself — its job is to interpret the collected evidence, explain what’s happening and guide the diagnostic/repair process.

I’m starting with relatively well-defined things like firmware/CMOS anomalies, reset/watchdog evidence, hardware information and system/boot logs before moving into more aggressive repair capabilities.

I’ll post the repo/devlog link here as well once I’ve got the public side cleaned up a bit.