A random mix from the whole library. Shuffle for a new set.
At 11 p.m., a teacher's the AI built her a complete print-ready activity packet for the novel her class is reading — answer key included. It also sends her a daily morning briefing drawn from her calendar and email.
After being laid off in April, the poster had not touched code or really email while taking time to rest. The first job given to the AI was cleaning up that email, and after a test batch it warned that doing it all would take a lot of effort.
Had an agent write an MCP for his SearXNG setup, then do comparison passes against server-side LLM web tools and tweak it; it works pretty well in his own search use.
He gave the AI his 2022 blog post about building a neural network and asked for a manim animation video with narration. The AI made the video in about 55 minutes, and it also spotted bugs in the original post while converting it.
A researcher updating his own old question says he now asks his agent to download the papers his reference manager could not get. The agent works in the browser while he is signed in with his school login, and he clicks through the human checks himself.
Today he and the AI hacked a cheap Wish smartwatch he had abandoned for years. Now the watch talks to an AI model running locally, like a bargain basement Alexa.
An LLM made both a FreeCAD workbench generation program and a checks program for him; he ended up building the bench, mostly fine with clear design issues.
The AI wrote most of the code for his live search engine over about a month for about 150 euros, indexing 93M English and 18M French documents.
Told as a personal aside in a product interview, OpenAI's Kath Korevec describes fixing her Spotify after her kids wrecked it, using AI with computer use plus Reddit research (segment from 12:28). The agent worked through her account to curate and repair her playlists.
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.
A researcher had slowly built his own pipeline to check which parts of a human gene model are backed by real evidence, then still had to judge the evidence by hand. He gave the AI Science the short prompt 'assess this gene' and it came up with much the same rules, built the report, and did the evidence judging itself in about 15 minutes.
He told the AI to call Sarah. The AI switched to calling Gerald, a random phone number he does not know, and he stopped using Google Assistant because the AI ruined it.
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.
Cornell's third live demo on How I AI: The AI converted his 20-year-old blog into a daily podcast, an archive-repurposing use case for a long-running content creator.
His AI runs on a server with Ollama as the backend, so his data stays private. It keeps his todos in a simple text file, sends him reminders about upcoming due dates, and gives him an overview when he asks in a Telegram chat.
He set the AI to export his liked songs from a streaming platform, track 365 artists, and send weekly concert notifications — commenters describe the Saturday roundup as a standing routine.
A Moneywise reviewer testing the AI on money tasks asked it to help buy a used Jeep Wrangler. The AI researched comparable listings and produced a two-page PDF: a side-by-side comparison to show the dealer (four newer Wranglers priced below or near the target, plus a '$3,816-over-good-deal' verdict box) and a one-page cheat sheet (open $19,000, target $20-21k, walk above $22k, with 'if they say / you say' responses) — implying about $4,000 in potential savings.
Astra made his 32-bit game Aviary Attorney run on modern macOS within minutes by replacing its runtime.
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.
A hobbyist designs his own furniture in OpenSCAD with AI, reusing code from earlier pieces. A new design takes a couple of hours including the PDF blueprints, drawn like shop instructions, that he prints so the person cutting his wood panels cannot go wrong.
The AI reverse-engineered his laser cutter's G-code dialect and camera controls in 1 to 2 hours; now it places and cuts jobs with power and speed settings and diagnoses problems from scans.
He tried to mod his game with AI, which asked for his game files and offered XML mods. So far not one of the mods has worked.
Uses the AI on his phone to clone projects, build his features in, build the app and push it to his phone, usually not upstreaming.
Hard drive prices pushed him to shrink his video library instead of buying more space. He set up the AI to re-encode his h264 files to h265 automatically, with tests that check there is no loss of picture quality.
He filmed about 4.5 hours at a village event weekend with no plan to edit it. Working from a shared working directory, the AI found the best moments, cut 10 vertical videos, added captions and music, and he published the full prompts he used so others can copy the workflow.
He has a large watch collection and wanted proper records: what comes in and out, cost per watch, photos, current value, gains and losses, labels and barcodes, and a straps inventory. He described it to the AI and got a working app he now uses to keep track of everything, with an icon on his Mac dock.
A user runs a long-lived agent session over Telegram: more than 4,000 messages and about $231 of usage in one session. Replies had been delivered normally until late in the session, when for 3 consecutive turns the agent produced text but never made the Telegram reply call, so nothing reached him at all. In the same stretch it also stopped saving decided design decisions to memory, as its standing instructions required, and he had to re-explain the decisions in a later session. A manual service restart and a log review found the cause.
Gave a local agent SSH access to his OpenWrt One router to optimize, secure and interpret his home network; now configures it in English.
The AI claims the week's free games from the Epic Games Store for the user on a recurring Thursday schedule, so the freebies are never missed.
He pulled an old MP3 player from the discard pile and modded it with AI's help. He says having an AI to mod with makes the hobby fun again.
Elgato quietly removed the Apple Music plugin for Stream Deck, one of his favourite plugins. He used AI to create a replacement, called Cue for Apple Music, and wrote up how he did it on his blog.
His LLM bird-detection pipeline scans his camera every 2 minutes in daylight; backtested, but higher resolution pushed cost up 10x and it still misses distant birds.
A man with a PianoDisc self playing piano gave Fable a music file he had bought from the maker's store. Fable worked out that the file hides the piano data in one audio channel, spotted the decoy notes the maker adds to block copying, and built a working encoder and decoder so he can make his own music files for the piano.
In a hands-on test on a $20-a-month Google AI Pro account, the AI renamed and organised a folder of 507 PDFs into 13 subfolders. The session drew a broad warning that granting folder access could include sharing the folder's contents with third parties, plus a notice that backups of connected files would be deleted after a follow-up or 24 hours.
His reading was scattered across Readwise, Karakeep, GitHub stars and YouTube likes, away from his notes. He built a small daemon that routes the missing sources into Readwise, and a scheduled the AI skill files everything into his Obsidian vault.
Vibe coded with AI an ebook reader in Swift in an evening that syncs his books from a private S3 bucket, and he reads in it every day.
A reviewer reports the AI wiped his entire work without warning, and that restoring it is extremely complicated.
He wanted his AI character AYN to move and talk like a VTuber. The AI drew the art, Tripo made the 3D shapes, and the AI drove Blender by script to build, fix and export the model, while he only looked at the renders and said what looked wrong. The finished model has 16 expressions and lip sync that follows the expression.
Built about a dozen boards using GPT-5.6 Sol; his favourite is a Pi CM5 carrier board replacing the laptop board in an old Sony Vaio P.
Together with AI he ran fairly complex imports from more than 1,000 JSON files into WordPress. Publications and events now arrive as their own custom post type, neatly structured in WordPress, including sideloading the media files.
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.