A random mix from the whole library. Shuffle for a new set.
A man's Bluetooth keyboard and trackpad can only pair with one computer, and the switching tools he found needed both machines awake to work. He used AI to help build his own tool, which moves the pairings to whichever computer is active based on sleep, wake and display events, and he put it on GitHub for anyone to use.
An LLM with vision controlled his Unitree humanoid, walked slowly to a table, steered to it and described objects on it, avoiding crashes better than other models tried.
He lets an AI assistant work in his notes vault every day. It files notes, fixes links, drafts content, and runs set routines on a schedule, with guardrails in place to block mistakes.
Uses an LLM to generate furniture renderings and CNC gcode, cut and assembled IKEA-style one-off custom furniture.
He scraped a friend's two social media profiles, made a plan, and had the AI create a website for them. In about half an hour he had a site to show them.
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.
He found a problem on his website with the embedded Cal.com widget he uses for people contacting him. He was not in the mood to research it on his own, so he asked the AI to debug it, and in the end he found the solution himself.
A researcher had a language model transcribe a digitised volume of Sophie Germain's incoming correspondence at the national library, and published the transcription. Working from it, he spotted a mathematical note written on an 1814 letter cover and is asking who wrote it.
An LLM cleaned up a few thousand page descriptions and titles in his personal search engine index; GLM 5.3 Flash chosen after a shootout between models.
He upgraded Proxmox on 3 nodes, with about 30 containers moving from Debian 12 to Debian 13, and put Opus at the wheel. The upgrade finished with zero drama.
The AI given shell command access on his mom's laptop fixed a Bluetooth speaker that would not unpair after normal troubleshooting failed.
The AI can create, snapshot, delete, start and restart VMs on his garage Proxmox box and spin up spot instances for hardware tests he does not have locally.
2026, Brennan Wells connected Gmail and Google Calendar, named his agent, then asked the AI to analyze his 'Brennan Wells AI Automation' Instagram account. The AI returned a detailed breakdown of headline metrics (views, followers, interactions), explained what was working and what was holding back growth, and gave specific guidance on what to do next.
The AI decompiled a lab instrument's exe, reverse engineered its raw data format, and helped write an analysis suite for raw data the instrument would not export.
He tried Instinct, an agent that lives in WhatsApp, and threw his personal backlog at it. It deleted 300 abandoned accounts and also handled buying things and filling in forms.
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.
The AI helped clean up his dotfiles and add automation and tests, used to switch devices and identities.
He linked Antigravity IDE with AI Agent on Windows as an experiment. It watches for transit delays and weather updates, then sends him a neat HTML summary email.
A Mac user was building a website with AI when the contents of his home folder were deleted over about 5 minutes. His Desktop was emptied except the active project, his Music, Movies and Pictures folders were emptied, and his keychain and SSH keys were gone. Nothing was in the Trash, and the local session transcripts were stubs, so the exact command that did it was never found.
He used AI with a browser add-on in Brave to clean out his Gmail. His account now has about 50% free space.
The AI built a Mumble replacement in Rust from a rough spec in 2 hours; it worked flawlessly on Mac and Windows, he uses it on his LAN, and the AI built a network simulator to fix a latency issue it spotted in logs.
He spent about a tenth of his AI 6.1 SOL use having it sort all his chat threads into a few main projects and clean out the empty ones. It used the Chrome browser and finished the job with no mistakes.
His AI connection tracker is synced with Bluesky, X and LinkedIn. It reminds him to check in on people and tells him what they have been up to.
Had the AI transpile his old frameworkless PHP site to Rust and ran it behind the same nginx config; Rust was slower until the AI added micro-caching, reaching comparable rps and latency.
GLM and the AI redesigned an interior 3D-print part to print in vase mode; the new part is better than the human-designed part he took from the internet.
A second maker in the same thread built his own motion sensing skull from a Meshy.ai model. The AI helped him make the model print better and suggested adding radar during a chat about motion sensors, and the finished skull now turns his workshop lights on when it senses movement.
An LLM configured his Rocky server in about 5 minutes; the server is still running with no effort from him after 6 months.
He downloads all his lecture slides and feeds them into NotebookLM for an audio overview. A pipeline then transcribes the audio, has the AI write a timed spec, uses AI Design for the animations and the AI for the filler content, then renders and stitches everything into an hour long recap of the whole semester.
Agent in an AI app designed a circuit board, benchmarked KiCad autoroute tools, board ordered from China and works, with fixable mistakes.
A creator who makes hundreds of NPC entries for an application, work that takes hours, handed the archiving to the AI; it archived 780 entries in two weeks.
Used the AI to get 4 unfamiliar Proxmox LXC services working, drafting configs and VPN-only firewall rules in 2 days instead of about a week.
A genealogist handed his AI an anonymized GEDCOM with about 3,000 individuals. The AI wrote a Python program drawing 300 frames into a 10-second MP4 animated pedigree (ancestors fade in by birth order, glow while alive, dim at death, living shown as 'Living'), then produced an 11x17 300-DPI print from a single frame.
His OpenAI dot, DotBot, is sailing his boat in MarineVerse Globe on its own. It has cleared Port Phillip Heads and Cape Liptrap, choosing the course and checking the weather while he is away, with Sydney next.
He forwards all his Outlook mail to Gmail so the AI can use the Gmail connector. Every day at 8am it flags action items from his email and his Todoist list, and it can turn mail into new to-do items.
The AI built a Discord bot in an evening that ingests an RPG PDF and stores it in a sqlite vector database for search.
One of eight hands-on tests run on the reviewer's real accounts; the AI scored 42.5/47 overall across the gauntlet.
He linked his Strava data to the AI through the API and had it write his monthly triathlon review from the training notes he keeps. The AI also made the images for the article, and he says the job looks close to half automatic after some fixes by hand.
A user had the AI create and publish the 'Siri AI Unlocked' website, a blog dedicated to real-world Siri AI use cases, successes, and failures.
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.
After giving someone a book they already had, he used AI CLI to build a small app for gift ideas. It suggests gifts from his own 5 star book reviews and the other person's Goodreads wishlist.
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.