A home-lab operator gave his AI access to a tools VM that runs nmap scans, then had the AI push the discovered devices, IPs, VLANs and virtualization components into Netbox through its API. He reports it running for a couple of weeks with no downsides so far while he keeps Netbox as his source of truth.
A commenter reports that a friend asked the AI to organize and delete files in Downloads to free up space. It deleted important files that had no other copies.
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He mined his old Twitter archive with help from the AI. His old threads of more than three tweets and his collections of links are now on his own site as historic blog posts.
The AI autonomously ran Quake demo playbacks, took pixel-diff snapshots, compiled a native build and patched the game for determinism, leaving a solid regression test set.
He sketched out how he wanted image collages to lay out and prompted the AI to build a simple tool with sliders for overlap and offset. He used it to make the image stacks for his project, kept improving it, and released Stacks V2 in October 2026 for anyone to try.
Liang Gou wrote no code himself: he directed the AI to design and build a complete grading app for his wife, a high school math teacher grading 100+ papers a week at 3 to 5 hours per test. The rubric engine reconstructs a rubric from a single graded example, its eval bank comes from real AP Calculus AB free-response exams, two models cross-check grades, and the agent tested the app itself in a browser before deployment.