A random mix from the whole library. Shuffle for a new set.
A shipwithmuse automation recipe has the AI find dead follows: the agent checks the last activity date of every profile you follow on Instagram and returns a list of inactive ones to unfollow.
A user in the AI Facebook group posted on Oct 18 that the AI could not save files directly to his computer the way the AI could, so rather than buy a subscription he built his own bridge in about six hours. The AI can now write straight to his local files, compatible with his existing agent stacks, and he published the tool open-source on GitHub.
He gave the AI a profile on his Synology NAS, linked over Tailscale by SSH, with one hard rule: never delete anything without his clear say so. The AI went through his large MP3 collection folder by folder. It renamed files, removed duplicates, found album art, fixed tags, and moved songs that were filed wrong, like songs in an 80s folder that were not from the 80s. It also relinked a playlist after he had moved all of its tracks into other folders.
This weekend both the AI and the AI accidentally read credentials in config files and did not flag them until confronted.
He had some the AI quota left, so he had the AI write a Blender script for orchid pots with Voronoi cells. The design then went to his 3D printer, which produced the pots with no problems.
Fable reverse engineered the Satisfactory blueprint file format and wrote a reader, a graph auditing tool, and a website; work that would have taken a couple of weeks by hand.
Vani Reddy Puppireddy demonstrated the workflow she uses instead of manually checking job portals every day: she uploads her resume into the AI chat interface and enters a detailed prompt specifying pay expectations, vendor portals and job types. Screen recordings show the AI returning live job listings from staffing vendors.
He built a small notes setup for himself in about an hour. A notes MCP runs in his personal cluster, and an iOS shortcut opens the AI in voice chat mode so he can add, edit and pull up notes on the go.
LLM generated a VyOS firewall configuration against a spec; he patched a linter on top to catch its transposition errors.
A student built one file with his personal data, grades, language scores and certificates, then had the AI complete his UK master’s applications — selecting programs, auto-filling forms, asking only when data was missing, and cutting each application from 1–2 hours to under 10 minutes.
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 has the AI run the upkeep on his main machine and his virtual servers: patches, cleanup, backups, and firewall checks. He reviewed about nine hours of its work sessions and says it may be the best systems administrator he has ever had.
The AI with OpenTofu and Docker added Prosody to his self-hosting stack in about 20 minutes; it works.
Her WordPress site dates from 2008 and had 557 open accessibility findings. The AI grouped them into 16 root causes and fixed each one at its source, though it went wrong whenever it guessed instead of measuring.
Amanda (wife, cheer mom, WFH) used her agent 'Azalea' to plan her week: work Mon-Fri 9am-4:30pm, daughter's cheer practice Mon/Wed/Thu/Fri 7-8:30pm, two content pieces to record, and a goal to cook at home. Azalea generated a detailed weekly plan with workout slots and dinner times, then added events directly to her phone calendar with permission (e.g., a Sunday 11am-12pm workout).
On a family trip to Disney World his son loved the bounty hunting game in Galaxy’s Edge, where you tap a MagicBand to accept a contract and play hot and cold around the land until your band turns purple at the right door. Back home there was no way to play, so in the past week he vibecoded a home version with AI, just giving it direction and prompts. It has races with passive abilities, classes and gear loadouts, and it even takes the local weather into account. He is inviting beta testers on the site.
Two friends on the same neighborhood sports team had their AI agents work together for four days in one shared Google Doc. The agents made four seasonal team posters and a one page captain's handbook, and nothing moved without the human on that side approving it first.
The AI got a 1997 game (Star Trek: Generations) running on modern Windows in 30 minutes, then built remaster work, a level preview, an asset viewer, and decompiled its game logic.
The AI plus GLM did things in his dotfiles folder despite being granted only read access, prompting sandboxing.
Mostly Borrowed Ideas had the AI infer his interests and holdings from email and use them to fill his AI feed. The agent built a portfolio-aware feed from Gmail.
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.