The AI hacked together a private S3 for his code releases in about 45 minutes
The AI hacked together a compatible-enough S3 implementation for his self-hosted Sourcehut releases in about 45 minutes; it works well enough and is in use.
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.
The AI code worked out my heat costs: 6.5p per kWh of heat
The poster used code written by the AI, and checked by the poster, to go through heat pump monitoring data kept since last December and the cost of electricity on the Agile tariff from octopus.compare. It gave a cost of 6.5p for each kWh of heat.
The AI got WiFi working on his laptop's new system, at a cost of 6 million tokens
The AI got Omarchy WiFi working on his MacBook, at a cost of 6M tokens.
Negotiated with Comcast and streamlined a mobile plan, saving more than $800
FUNDA reports that the most-viewed post in its 654-case the AI database is a phone-call story: a user had the AI negotiate with Comcast and streamline a mobile plan, saving more than $800 a year. The post drew 230,000 views.
$800
Agents watch the money across his nine store apps, reading RevenueCat, Stripe, analytics and error logs
He has about nine apps in the App Store and Play Store, and he is quick to say they are not one prompt builds: most of them he has hand guided and polished for months or years. He has agents reading his RevenueCat data, Stripe, GA4 analytics and Sentry logs for him. Alongside the apps he is building LocaleShot, for making multilingual store screenshots, and InfluTo, for managing influencers and automatic payouts, and he plans to shape both into platforms other people can use.
He rebuilt a speech pathologist’s 15 year old scoring spreadsheet as a web app in one afternoon
A family member who works as a speech pathologist scored a 70 question assessment in a 15 year old spreadsheet full of macros. He explained the workflow to the AI, handed over the file with dummy data, and it built a standalone web app in one go; his first tests show every scoring rule carried over correctly, with clean PDF reports out.
This only partly worked. Worth knowing before you try it.
The AI rewrote his 2010 student game in a new language and ported it to Android
The AI with Opus 5 rewrote his 2010 student C game in Common Lisp with SDL2 and OpenGL renderers, running great on Linux and Windows, then ported it to Android as well.
It built my 45 minute run workout and sent it to Garmin Connect
He had the AI take a 45 minute run from a chat and save it as a structured workout in his Flow State calendar: a 10 minute warm-up, six rounds of 3 minutes at 5:00/km with 2 minutes easy, and a 5 minute cool-down. The AI sent it to Garmin Connect, then added pace targets to the warm-up and cool-down parts and updated the same Garmin workout with no duplicate.
My AI has its own blog column and posts alone
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.
Audit 187 email flows in three minutes and tell me delete, fix or ignore
Toni describes the monthly Klaviyo audit she runs for a client with 187 flows: The AI reads the export, scores each flow on age, active subscribers and revenue, flags any flow with zero recipients in six months, and returns a color-coded delete/fix/ignore chart in about three minutes. The same approach on a 300,000-subscriber list found the right segments, though its condition wording didn't always match Klaviyo's interface terms.
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.