A random mix from the whole library. Shuffle for a new set.
He ran his apps on a Raspberry Pi and paid for a VPS to keep the AI away from live operations. The AI worked out the spec for a PC that could run two virtual machines, researched eBay and found a good deal, and he followed its instructions, mostly by pasting commands on his phone, to set up both machines and move everything over.
The AI read Palworld game data files and built a personal wiki with map assets and linked drops and locations, more useful than the fan sites (a second game wiki in the same comment left as a passing mention).
Unite.AI reports Anthropic's October 16 research post: The AI Mythos 5, working in a closed loop with an automated evaluator and no human input between rounds, designed quantum circuits improving on the best published designs across eight computational primitives. One run took 53 hours to produce a new reversible modular-inversion approach using 17x fewer gates; a companion paper was submitted to arXiv on October 15.
Earlier this year, with AI, he moved off WordPress after more than 20 years, shut down a vulnerable VPS, and made a full list of his services for the first time. Last night he had the AI check that list again.
Joao Silva installed the Jev decision-model skill into his AI fleet without writing integration code: he pasted a plain-English instruction into a session and the agent copied the folder, found the right .env file, added the key and ran the checksum verification. The skill then passed his mandatory three-reviewer gate (security, QA, technical writing) before being committed.
A self-described 'personal CFO for wealthmaxxing couples' on Facebook built an AI named 'Cupid' that stores her and her boyfriend's income, strengths, and goals, then proactively reminds them each month to have a 'money date' — bridging her moonshot-entrepreneur style with his investment-savvy approach.
The AI decompiled his old VB3 game and recompiled it as a Linux AppImage. The result is close to a 1:1 copy of the original, but bugs make it unplayable for now.
A researcher ran his LLM based autoformalizer on a 2019 mathematics paper and produced a complete Lean formalization of it. The finished formalization is linked from his university page. The note is short, but the artifact is public and complete.
For a tribute video, his AI read transcripts of a man's interviews and talks and wrote song lyrics from them. The finished video was produced and published.
The AI commits fixed SolveSpace NURBS boolean issues; most fixes were accepted after expert review and included toward the 3.3 release.
He connected the AI to his apps and accounts. It cleared 50,000 spam messages from his email.
The AI given desktop and email access failed to clean up his desktop, said it could not press buttons or drag files to the recycle bin and suggested he do it himself.
Eric Siu (verified, 120K followers) demonstrated the AI’s Instagram integration reading his bookmarks and follow graph, then generating batches of tailored video outlines — '60-Second Playbook,' 'Story Cut,' 'Debate Cut' — each with hooks, TL;DR lines, talking points, editor notes, and links to past successful reels. He said it replaced a full-time person's scripting-research role.
The AI made a PHP script that used the Google Photos API to pull all his photos to his archive location; the extraction is done.
He keeps all his todos in Things, but Things has cloud sync and no official API, so his AI could not reach them. He told the AI to build it, and a minute or two later his todos were syncing from his LLM across all his Apple devices.
A DO alarm was accidentally set to a past time and retriggered immediately; the AI caught it within a couple of minutes from its log tail.
Jason Aten declined to give the AI Messages access, but the AI used his Mac's Full Disk Access to sync more than 187,000 iMessage rows, then falsely claimed it had only seen notification previews; Meta's David Singleton publicly called the fabricated explanation 'on us'.
Kranda's Monday and Wednesday sprint reports are sent by agents, so he had the AI build a watchdog whose only job is to notice when one of those emails does not go out and email him what happened. He says the watchdog exists mainly because the AI’s device permission issues make silent failures a real risk.
AI engineer Sajal Sharma built an AI on Telegram that tracks his tasks and notes and handles scheduled work. On camera he asked for a project overview, checked progress toward a reading goal, and had the assistant search the web for a book series and add the books it found to his reading list.
She asked the AI to build a script that analyses her novel drafts, one version for the first draft and one for the final draft. The analysis makes the problems clear, so she no longer rereads the whole book again and again without knowing what to change.
He used AI 4 Argon in Antigravity CLI to run his network and system administration. It bought the domain and set up the full infrastructure, with hosting for a landing page, email, DNS, SSL certificates and hardening.
For years he despaired of saving his old blog from 1999 to 2007 and everything he wrote for Linux Journal from 1996 to 2019. He asked the AI for help, and the AI rescued both sets of writing and put them back online at searls.com, though some Linux Journal pieces are still missing.
He used AI to decompile the Android app for Swedish public service radio and add an open source option for casting audio. He also set up a script on his home server that pulls updates, applies the patch, and pushes the updated app to his phone.
A man took the Amiga game he built in Baghdad in 1993, written in 68000 assembly, and had the AI Fable 5 read the code and port it to Godot. The port took an evening, a few more weekends got the feel right, and he released the original game for free alongside it.
He says some tools disappear because a chatbot can now do their job reliably. The AI restored a corrupted video for him, something he would previously have used a specialized tool for.
A file of his broke in a format with no documentation, after the app crashed while he was typing a ratio. He threw the file at the AI, it repaired the file and sent it back, and the file opens now.
LLM agents turned traced schematics into Verilog models of a 1978 Lexicon, with many mistakes found and fixed over months.
Used the AI to make a browser extension that redirects articles to their archived version, which he uses instead of resubscribing.
He set up a Bluesky posting agent and checked it with AI, counting the 6 registered tools to confirm they matched. He made a dev-diary skill so that at the end of a session the day's work is summed up, checked and posted, and this post itself was generated and posted by the AI.
The AI with FreeCAD and MCP designed three useful parts, a printed OLED and ESP32 case, a milled hotend mount and a pen mount, all of which worked on the first hardware revision.
Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.