AutoProber integrates GRBL-based 3018 CNC, USB microscope via mjpg_streamer, Siglent oscilloscope over SCPI, and AI-directed mapping to automate safe pin probing on new targets. The primary GitHub release (https://github.com/gainsec/autoprober) supplies Python control, CAD for 3D-printed toolhead, Flask dashboard, safety rules in docs/safety.md, and AGENTS.md operator guidelines. Original materials emphasize hardware stack and non-automatic recovery from Channel 4 triggers but do not address how LLM agents now coordinate end-to-end physical workflows previously limited to industrial flying-probe systems. Related Stanford Mobile ALOHA work (https://mobile-aloha.github.io/) and IEEE Spectrum coverage of open-source robotics (https://spectrum.ieee.org/open-source-robotics-2023) show parallel patterns of embodied AI moving from labs to improvised builds. Coverage missed the explicit non-trusted CNC probe pin combined with independent optical endstop on oscilloscope Channel 4, a hybrid safeguard that reflects maturing AI-hardware safety practice. This configuration, built with duct tape, pen spring, and off-the-shelf parts listed in docs/BOM.md, demonstrates accessible AI tools enabling physical-world reverse-engineering innovation outside corporate or government facilities, extending the democratization trajectory seen in GRBL adoption and open EDA tooling.