A random mix from the whole library. Shuffle for a new set.
Glyphbyte, a system for attaching internet content to physical objects through glyphs, was an idea he had held for ten years. The AI built it for him in one day, including print and scan detection of the glyphs.
He tried many ways to show how certain artists became his favorites and how some faded out of his rotation. With the AI he ended up with a scrollable Sankey story of his listening, published on his dashboards site.
A researcher used AI and the AI Fable 5.1 to search for examples, write and run verification code, develop and check the proofs, and draft the paper for a triangulation problem. The result settles the value at 5 for every n from 9 up, with coordinates and edge lists published in a repository. He checked the argument himself; the paper is not yet refereed.
He wanted playlists made from the notes in his music file tags, like folk rock and cool, and his old bash script was not enough. The AI gave up and sent him to forums, then the AI wrote a Beets plugin and a config that now creates and updates his playlists on its own from those tags.
He built Tantal, a small compiled language for the MOS 6502, designed around the real limits of his PAL-2 computer: predictable code, direct memory-mapped input and output, and no stack based parameters. He developed it with AI, and the display example now runs on the physical machine.
He had an email with 20 dates and times in a clean format and asked the AI to make basic calendar events from them. The AI could not do it at all.
Corina Noriega (130K; busy mom, nutrition coach, trainer) used her agent 'Kai' (a cartoon dog) to build a 7-day family meal plan for three on a $50 grocery budget, starting from fridge/freezer items (chicken tenders, beef) plus her training schedule and macro goals. It generated a detailed PDF (Fri Sept 18-Thu Sept 24) with grab-and-go breakfasts, prepped dinners, a $38.43 shopping list, training windows, and daily 7:30 AM reminders.
Built his own personal-life organizer with AI in a few weekends; it syncs WhatsApp, Telegram, Gmail and calendars locally, indexes them, and runs scheduled scans, daily briefings and reminders with plugins.
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.
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.
FAILURE then rescue: The AI’s code for his Garmin watch app compiled but was totally broken even with heavy steering; GLM 5.3 Flash then made it work.
An agent researched available tools, built an eval set, and tested tools against each other to pick the set used for his singing app, cutting build time from months or a year to about 10 days.
A home-lab owner reported on X (via WhatAgentsCanDo, Oct 19) that, still in bed, he sent the AI a link to a post containing a setup recipe for a new DeepSeek model (DeepSeek-V4.1-Flash-1017, EXL3) across two NVIDIA DGX Spark machines and asked it to do the setup. The AI was not installed on the Sparks, but they shared a network with its computer, and everything was ready to test by the time he got up; he says he does not know exactly how the bot reached the machines.
He pointed the AI at an Internet Archive copy of an old adventure game and got a web version of Neuromancer, then a 3D version.
The AI generated 95 percent of an LED star PCB, including the parametric generator, routing and panel layout; the fabricated board works.
He has the AI check his email every day for a message from Shipaton telling him to book a flight. He is still waiting for that email to land.
A man runs a word game site where the AI invents a new word game mechanic every day and publishes it with an example. He says he does nothing; the daily game appears on its own.
He gave GPT a security audit skill that checks his machine against newly published vulnerabilities, patches what it can, and warns him about the rest. He runs it whenever new CVEs land, and says the patches need care because a fix can cause as much trouble as the flaw.
Bybatee's AI agent 'squishy' sent 25 outreach emails to brands in her niche — with her metrics, portfolio, and media kit attached — and set automated follow-ups after 3 days for non-responses.
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.
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.