Agents implemented 6 ways to update a smart device, on real hardware
AI coding agents implemented six ways to update a Matter device on real hardware.
429 new ideas this week
Level up how you use AI
Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
Turn my program synopsis into a 23-page master curriculum
Four days into a 30-day the AI trial, the writer gave the AI the synopsis of Creative Eye Forward, the community education initiative he is building through Creative Eye Studios to teach young people AI literacy, critical thinking and digital creativity. The AI produced a 23-page master curriculum, giving him substantial material to review and shape around the people he will actually teach.
Close the books on $87,055 of receipts from a receipts inbox
An AI finance desk handled a business’s finance admin around an $87,055 receipts figure, run with read-only account access plus a dedicated receipts@ inbox so the week never has to be rebuilt from browser tabs. The desk’s design keeps money movement out of the bot’s hands.
Re-route my Sardinia trip after my rental car broke down
Chelsea Yamase documented the AI re-planning her Sardinia trip after a rental-car breakdown: re-routing through the mountains, choosing a boutique hotel near a boat launch, and booking restaurants via WhatsApp in Italian. The AI also monitored flights and deliveries and emailed about customs.
Fix my website's two-click subscribe button
The MBI Deep Dives author asked the AI, which has access to his website's back end, to fix a subscribe button that sometimes needed two clicks. The AI worked at it for almost an hour and delivered a much snappier single-click button.
Dashboards for 5 radios stream weather, air traffic and radio status from decoded signals
Has the AI-built dashboards for 5 radios, streaming decoded data into SQLite and visualizing weather, ADS-B traffic and radio status.
A weekend on the cheap tier built enough of a platform's features to make it useful to him
Used the AI on the 20 dollar tier in a weekend to build good enough coverage on Floci features to make it useful to him; others then continued the work.
$20
Planned a marathon training week (Sept 28-Oct 4) around his coaching schedule
Gideon Akande (verified, 73K followers), training for two marathons while running a fitness business, named his agent 'Mini Me.' A screen recording shows his detailed request: specific runs with distances and durations Tuesday through Sunday, Monday and Friday as rest days, 30-minute warm-up/cool-down buffers and a one-hour buffer after each run. The AI checked his calendar for conflicts, fetched availability, and returned a mapped schedule with exact time blocks per run.
The cleanup deleted 116 GB of my home folder and would not stop
During a Kaggle research session, an AI sub agent cleaning up its own scratch files ran a delete command with a stray target, the short name form of the user's whole home folder. About 116 GB went in roughly 50 minutes, including about 40 Documents folders with months of projects, his toolchains and his stored logins, and the delete kept running after the stop call said it had stopped, while the agent reported the folder looked intact.
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Track replies to nine class inquiry emails and watch them daily
The AI sent and tracked nine inquiry emails about classes for the user's children, built a reply tracking table, and monitors the threads daily for responses.
The AI works through my easy chores list on its own
He made an Easy Chores list on his Trello board and a skill that teaches the AI to find more of them in his backlog. The AI fixes them in pull requests, and the chores get done instead of sitting in the backlog.
He tells the AI 'this is bothering me' and his Linux desktop fixes itself
Opens the AI and says this is bothering me for Linux desktop rough edges; it fixes them in the background, documents changes, and pushes his configs and dotfiles to a private git repo.
Answer my community's questions in Slack around the clock
The Zilliz team linked the AI to their Slack community in about 20 minutes of setup. The agent now answers user questions around the clock.
The AI wrote every line of my game. Version 173 is playable now.
He designs Solhex and playtests every version while the AI writes all 3,777 lines of code, tests each new build and publishes it, often within minutes of his notes. By October 24, 2026 there had been 171 versions in the first 184 hours, and Part One, about four hours of play with an ending, runs free in a desktop browser.
Two months of hands-off agent operation earned about ¥950
A Japanese operator has run a small media business under three rules since August 2026 (no hands, no capital, no face or real name) with AI keeping sales records and producing and distributing ebooks, videos and SNS posts. After two months the September Kindle estimate was about ¥950 and three Udemy courses had 14 students and ¥0 revenue, so he benchmarked his own numbers against 96 other first-hand agent-income reports he collected.
¥950a month
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The AI shot and edited his DJ music video for free
He directed the AI through shooting and editing a full music video for his DJ set. He said it cost nothing and he would use AI for video work again.
The AI fixed my soundbar. Ten seconds and the sound was back.
He plugged in a soundbar over S/PDIF and got no sound, and searching online did not help. He asked the AI to fix it, and 10 seconds later the problem was diagnosed, the output was enabled and renamed, and it worked.
A gearbox the AI designed for my camera lens worked first time
He gave the AI the job of designing a 3D printable gearbox that connects to his camera lens, and it worked the first time. In the same post he notes the AI needed two tries at a simple joke answer.
His meal tracker takes agent-logged meals: 'log my normal breakfast' is the whole interface
Built a macros tracker an agent can log meals into via MCP, so he can say log my normal breakfast.
Read my grocery list and rebuild my Walmart cart from my last purchases
In 'Ways to Use the AI Episode 2', a creator demonstrates his grocery system: he keeps a list in Google Keep, then asks the AI to access his Walmart account, find his most recent milk purchase from his purchase history, and add it to the cart. He reports the AI completed the task, identifying three items in the cart including one he did not recognise.
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.