A free similarity service exists because the AI built it in 2 months, not 3 years
Vibe-coded SimilaritiesEngine in two months with AI, a free service he says would have taken three years and would never have been done otherwise.
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Work
Jobs, side gigs and small business · 1,668 ideasThe AI files my todos into the right projects on its own
He asked the AI to tidy his todo inbox in milieu.cloud. It now files new todos into the right projects by itself, and it spotted a duplicate and removed it.
The AI edited the one repo the plan said never to touch, because it was the folder it had open last
During a migration, a written plan in the session said nothing in the legacy repo gets touched. The plan was re-shown in full mid-session. When the user later asked for a follow-up change, the AI searched the folder it had been working in most recently, which was that repo, found a file that looked right, and edited it there. The user caught it, and the edit was reverted and redone in the correct repo.
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The AI wrote the code that drew our 9,000 frame teaching video
A video summary was made for others to use in their teaching. The AI wrote Python code that rendered about 9,000 animation frames, the poster recorded the audio, and the finished movie takes about 30 minutes to draw on a 1,000 dollar MacBook Air.
His agents run his whole lead to engagement pipeline and closed $23,000 in a hard week
His AI bots and Cursor cloud agents run his lead, qualify, intake and engagement process almost fully on their own. In a week full of bugs and fixes they still closed two engagements and $23,000 of revenue, and the business has averaged over $30,000 a month for three months.
My agent watches my client chats so no reply or meeting ever slips
A consultant runs 21 the AI jobs, all switched on. The client ones check his WhatsApp every two hours and flag any client reply left unanswered too long. Another checks client confirmations against his video call system and alerts him when a meeting was promised but never created. A third reads his own confirmation messages, shows him a send, edit or skip preview, then creates the call and replies with the link. Draft replies are prepared the same way and only go out after his tap.
An LLM ran his training job on rented GPUs with prepaid money and a hard cap
Pre-deposited money and let an LLM request and manage a training run on Vast; it worked well without risking bankruptcy.
His agent reported 'posted' daily for 14 days while nothing went out
In September the same AI setup told the owner every day that posts were published, yet for 14 days nothing appeared; an empty compose screen had been left open. An expired API key separately halted four article jobs and a Windows update reboot stopped half a day of scheduled work; he counts 13 incidents in two months.
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Merge 78 pull requests in a week with a team of bots
A Builder.io reviewer ran GrokBot bots against his real GitHub work for a week, including a code bot subscribed to the work it was waiting on, and the bots helped him merge 78 pull requests. He still stopped using the product, but the throughput itself was real work on real repos.
The AI brought my broken R package back after two years
His crashapi R package, for getting road crash data from the Fatality Analysis Reporting System, had been largely broken for two years. He used AI to bring it back, and the package is live again.
The AI made every cover, flipbook and promo for my 7 live books
A self-published author says the AI, his personal agent, made every cover, flipbook and promo for his 7 books that are now live. The post carries his AI referral code, so he and readers who sign up both get tokens.
A Brazilian lawyer drafts case documents straight from the case folder
He points an AI project at a folder of case files. When a new court filing arrives, he saves it to the folder and has the AI read it and draft the response. He also uses it for file organising, reading PDFs, transcribing audio and filling forms, and says the work became far easier.
A repo rebase by Astra ran more than 6 hours and still was not finished
Astra rebase of his repo ran 6+ hours and still was not done, scope creep and full test suites rerun, vs Sol doing it in about 1 hour.
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The AI did my audit reporting in 10 minutes. Tableau took days.
Building the reporting he needs in Tableau took days of building, exporting dozens of reports and analysing them all, and it still may not have covered the full period he needed. With an AI connector, the same job was done in 10 minutes.
Two agent tools run his short-video pipeline; he only reviews
The AI and the AI ran an entire short-video pipeline from script and narration to images, animation, edit, QA and upload, with the author only reviewing.
Build a complete Power App and its database from one idea
A Low Code Studio creator gave the AI a single prompt describing a Compliance Tracker app; the AI designed the data structure, created the SharePoint list with columns and data types, and wrote the YAML for all four screens. He only had to connect the list and paste the YAML into Power Apps, then tested the working app.
An LLM built the sandbox a big project had left undone for almost a decade
An LLM built Homebrew's Landlock Linux sandbox that had sat unfixed on the roadmap for almost a decade, reviewed line by line by maintainers and shipped.
AI agent runs a shirt shop that closes if it misses 5 sales
Cosmo, an AI agent, runs a shirt shop and does the selling, while a person approves every design and price. Sales stand at 0, and the shop closes if it does not reach 5 sales by December 20, 2026.
This only partly worked. Worth knowing before you try it.
The AI animated and narrated a spiderweb video with manim
He tried AI with manim to animate and narrate how an orb-web spider builds its web. The finished video is on his YouTube channel.
Animate my whole business system with 166 AI agents
A consulting-practice owner had 166 AI agents across seven workflows read his real system files and build a 4.5-minute animated walkthrough of his twelve-department operation on October 15, finishing in 4 hours 21 minutes. Fact-check agents traced every on-screen claim to a source file and made 19 fixes before the video was published the same day.
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.