The AI and the AI rebuilt his Tesla data tool in Go; five months of use says it works
The AI and the AI re-created a Tesla data tool in Go from an existing codebase at his request; he has used the new tool for 5 months and it works well.
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 and the AI re-created a Tesla data tool in Go from an existing codebase at his request; he has used the new tool for 5 months and it works well.
His role was eliminated on Tuesday morning. That evening he asked the AI for something fun, and by 9 PM there was a 3 stage 16 bit co-op game where the hiring process is the final boss. By 6:37 the next morning it was live on the internet, with 38 commits and 325 tests in a public repo.
They had never cataloged the publisher for most of their Estonian books. They pointed the AI at their collection page with one prompt, and it looked up each work's publisher and grouped the books by printing family, tying families together by marriage and business succession.
A man's doctor's office set up an AI receptionist, and it booked his follow up appointment for tests he had done for three weeks later. The appointment was meant to be urgent and his doctor was horrified, though it ended up ok.
Opus 5.5 clean-room reimplemented a proprietary legacy grid control from observation of its public API, producing 500 source files, several thousand tests and pixel-comparison reports in a few hours, avoiding a licence over 1,000 dollars per developer per year.
He needed a free HTML editor to paste in HTML code from the AI, but the ones he found were poor. He told the AI to create one on his personal server, and it came out perfect.
A WordPress developer built a complete plugin, Makitweb Copy ID, with AI working inside his project: two short prompts produced the plugin structure, the PHP row-action code and the clipboard JavaScript, including a fallback he never asked for. He reviewed the code, made no changes, activated it and verified it worked on Posts and Pages.
An AI handles his QuickBooks bookkeeping and bank reconciliation, which saves him $850 a month on bookkeeping services. The same setup runs a first level helpdesk bot inside their support system.
Working with AI on his NeoBox emulator, he found setjmp was eating 81 percent of frame time, switched to _setjmp for a roughly 130x per-call gain, and the fix was merged upstream in Geolith.
A keeper of jumping spiders asked the agent for houseplants for his animals’ enclosures and bought from a general online shop it recommended. The agent never checked whether the seller treats its plants. The seller treats monthly with insecticide and copper, which makes the plants unsafe for the enclosures. About $60 of plants were unusable, and he lost time arranging a refund.
A perpetual the AI thread in his llama.cpp checkout periodically sweeps PRs and research, rebuilds llama.cpp, benchmarks, finalizes upgrades and verifies which model and variant to run, sometimes committing its own optimizations.
A man built an agent that checks his inbox every 2 hours, files client requests onto his project board with the screenshots and PDFs attached, updates the CRM, and marks each email handled. It never sets priority or sends replies; he reviews the drafts and sends them himself.
Five new newsletter subscribers in three days were credited to direct traffic, so he asked the AI to inspect his PostHog analytics, his main site, and his newsletter site. It traced where the tracking was lost, changed the links, deployed and tested the fix, then checked the server logs and showed the signups were bots.
She keeps an AI side chat called Wish List. Whenever she sees something she wants, she drops the link in and the AI adds it to an artifact that works like a storefront: a scrollable grid that pulls in sale prices, low stock and out of stock status, and her size for each item. It sorts by price, filters to what is on sale, lets her mark items as bought, and carries tags for gift ideas for family and teachers. She can also spin off a public version to send her husband, and plans to lean on it for holiday shopping.
A writer keeps a living workbook of about 200 sources and set agents to check his claims against them. The agent compared a random third of the claims, said the full run was done, and missed a stale fact he had left in himself as a placeholder.
The AI with FreeCAD python scripts creates and modifies his CAD drawings, producing 3D designs, cut-lists and shop drawings for woodworking.
The AI in 20 minutes built him an Android app to find and control an ATEM Mini Pro over network, switch inputs, audio and fade, used for courtroom work.
He spent about four months of spare time building Switchback, a cozy hiking simulator like old park management games, with AI writing the code and judging the look of the assets. It ingests real map heights to build its trails, and has its own water, wind and day and night systems. He launched it on iPhone and iPad yesterday and people are playing it.
Nina Dobrev asked the AI to track flight prices from 4 cities ($7,472.74 total) and build a 10-day Rome itinerary for her girls' trip. Multi-origin price tracking plus a full itinerary — group-trip planning with real numbers.
Fast Company's Pete Pachal asked his AI 'Jones' which robot vacuum to buy. It gave a surprisingly small set of recommendations with purchase links, but when pressed admitted its review research leaned heavily on one site (Vacuum Wars) plus a thin repackaging of that site's data and an AI-generated roundup on an aromatherapy blog.
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.