The AI fixed a CarPlay bug in my car's head unit
He used AI to fix a CarPlay bug in his car's Android head unit. He gave it the piece of hardware and it worked out how to talk to it and fix the bug.
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.
He used AI to fix a CarPlay bug in his car's Android head unit. He gave it the piece of hardware and it worked out how to talk to it and fix the bug.
He recorded a Short in his car. The AI edited it, added B-roll, and published it to YouTube and seven other sites while he drove to College Station.
Kilsonmoon sent the AI a photo of a neighborhood water-pipe cleaning notice: The AI identified when his street would be cleaned, added it to his calendar, set a messenger reminder for the day before, and relayed the precautions — close the valve, avoid running the washing machine. It also found the full schedule on the water utility's website and registered ongoing monitoring so future notices trigger automatic alerts.
His agent writes every sales call into the call log and the CRM, and before anyone on the team gets a number to call, it checks the log first. That stopped the team calling the same people twice.
When every Oura MCP server turned out unmaintained, the AI suggested a simpler design - a SQLite database with a cron sync - and built it. Now he's experimenting with injecting his sleep score into his agents' startup, so they give simpler, less demanding responses on days he's not all there, down to gentler perfume samples.
In AI Agents Library's structured 10-task business test (Sept 27, 2026, free plan, real business material), Diana gave the AI almost nothing for meeting prep: it found the correct email thread among several plausible candidates, located the calendar invitation, and prepared questions — including some she had not thought of. The task scored 10/10, the best result of the test day.
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.
Broke copy protection with GPT 5.6 and has a forked Hatari that boots and runs Notator and Creator by emulating the dongle.
Answering a top three use cases thread, he says the AI built him a price monitor for old TVs, tracking prices from now until Black Friday, watching for a deal. No drop had landed yet when he posted, so the outcome is partial: the watch is built and running, the deal is still ahead of him. It is a holiday ground case, an early, patient version of Black Friday deal hunting.
A man fed a video of his golf swing into AI and worked on what it told him to fix. His average score dropped from the low 100s to the mid 80s, a gain he says he would once have paid thousands of dollars for.
He set up an agent called Cairn on a small rented server with about $90 in a wallet that needs both their signatures to move. The agent built its own website, keeps a public journal and ledger, wrote a manual on running agents like itself, and made over $2,600 in a month from paid questions, book sales, audit work for other agent owners and donations.
A local Qwen model on his home server pulls his RSS and social feeds, release notes and papers, scores each item against an interest profile he keeps by hand, and writes a one line summary. Nothing leaves the machine. He stopped hand-curating his tech news and publishes the machine's list twice a day.
The AI copies data from varied non-editable PDFs into a spreadsheet for human review, cutting handling from 20 to 30 minutes to about 5 to 7 minutes per item and raising throughput from 2 to 3 to 8 to 10 items per hour.
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.
By voice, Simmons asked László for an October 15–18 Montreal trip: a central, inexpensive Airbnb, the cheapest direct flight with an aisle seat, and a plan of things to do. The Dot compared stays, caught repeated complaints about a squeaky Murphy bed at a 4.75-star listing, filled in his flight details from his travel records, rerouted the Mont Royal walk because the cross was under construction, and stopped at checkout for him to pay.
The AI 3.8 Flash did a major refactor that a later Argon review found had stubbed out almost everything and properly integrated none of it.
Steve Caldwell built a weekly meal-planning system in Notion on the AI for his household. The roundup reports it saves his family about an hour each week.
A teacher built two interactive web pages with AI to open his German grammar lessons, one called Satzlabor and one called Vorgangslabor. He used both in class and says both were well received.
A weekly scheduled plan writes the week's dinners into their Google Calendar, trained on the family's dietary needs, restrictions and preferences. It checks the local weather forecast and the calendar itself, so a hot day gets burgers on the grill, a cool night gets chili, and travel days or evening commitments get easy low stress meals. They eat out far less now.
When the tool he wanted was not on the AI’s connector list, he had the AI build the link itself. The AI took his Linear API key into secure storage, built a connector that can list teams, search and create issues and update their status, then checked it worked with an identity check. He says the same route works for any service with an API.
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.