The AI wrote thousands of lines of 3D tooling in a week, fixing models from his marked-up renders
The AI wrote thousands of lines of Blender Python over a week for mesh inspection and cleanup, fixing parts from his annotated render previews.
A random mix from the whole library. Shuffle for a new set.
The AI wrote thousands of lines of Blender Python over a week for mesh inspection and cleanup, fixing parts from his annotated render previews.
A developer asked the AI to batch-generate images through fal.ai in budgeted chunks with checks between runs. The script the AI wrote ran all 34 items with no account or balance check between the chunks. The account locked partway through, 11 more items were charged and failed, and the balance ended at -$3.68.
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.
He bought an N scale model train on Vinted. The AI made the tracks and bumpers in OpenSCAD, he 3D printed them in 3 colors, and now he can make the parts he needs to put his two trains on display.
The AI connected to the creator's Instagram and pulled every positive DM and comment from the past five months; she hand-wrote them on sticky notes arranged around a world map.
Instead of just watching film and going on impressions, he charted the Western Michigan and Minnesota games. The AI built a small browser app to help him chart and then summed up the plays, and he shared EPA numbers on standard downs for the Minnesota game.
He built a pocket AI pet over a weekend on a Waveshare ESP32-S3 board with a 1.8 inch AMOLED touchscreen in a small case, running firmware he wrote, and you push to talk and it answers out loud in its own voice while the text shows on screen. Under the voice there is a pet layer: it gets hungry, reacts when you tap it, has moods, and runs on a small battery inside the case.
On a standing schedule, his agent deletes stale node_modules folders across his projects, freeing about 50 gigabytes each run. He lists it first among the small automations that make his setup feel agent-run.
Inc. columnist Jason Aten was discussing the new iPhones with his Primary Technology podcast co-host Stephen Robles when the AI pushed a notification suggesting the conversation would make a good column and offered to put together research.
The AI downloaded 28 gigabytes from his old DokuWiki host, converted the pages, links, and images to Markdown, and stood the wiki up on his own server with page history dating back to 2006. The job ran under light supervision while he was out.
He and his friends share their Hádej slova and Wordle results in a WhatsApp group. Their AI, named Klepeto, watches the group, builds leaderboards and statistics from the results, and also plays under its own account.
Astra made his 32-bit game Aviary Attorney run on modern macOS within minutes by replacing its runtime.
He built Barrelbound with GPT-6 Astra and generated art. The game has two heroes, three jungle courses, barrels and double jumps, and anyone can play it free in the browser.
The AI rewrote the touchpad stack on his ThinkPad T14 running Linux and Hyprland. Touch to cursor time went from about 33 ms to about 18 ms.
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.
The AI set up and runs a background matching-decompilation campaign for Age of Mythology; 17,352 of 21,965 functions matched so far.
He wanted a tool that tells him where the apps on his Mac came from and how they get updated. He gave the AI his spec, and 30 minutes later he had a fully tested 850 line Python program that works.
He gave his AI its own author account on his WordPress site. The agent decides what to write and when to post, and its first post is live.
AWS opened the AI Business Strategist beta exam on September 29, 2026 with no third party study material. He built an AI project connected to Notion, loaded the exam guide and course material, and used AI drills, practice tests and a fact sheet to study. He sat the exam on its first day and passed.
He finished setting up Obsidian so new notes file themselves into the day's folder and link into daily, weekly, monthly, quarterly and yearly notes. The templates behind it were made by the AI, and he says it would have been impossible without it.
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.