His own the AI review action checks every pull request and beats the review services he tried
Custom GitHub Action running the AI on a self hosted runner reviews PRs on publish or tag, works better than the review services they tried.
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Work
Jobs, side gigs and small business · 1,669 ideasFive minutes from a rough grammar sketch to a working parser, instead of hours
Hands an LLM a loose BNF-ish grammar and gets a recursive-descent parser in five minutes instead of 2 to 3 hours by hand.
5 minsaved
The AI improved our competition score and submitted results while I researched
During an ML security competition, he gave his research and code to the AI on a GPU VPS and told it to improve the score, then went back to his own research. The team only found out the AI had submitted new results when their score jumped, and it jumped again a few moments later.
He runs 13 scheduled the AI routines for his blog and social accounts, chosen with a three-question filter
A Korean blogger documents the 13 scheduled the AI routines (desktop-app Routines) that run his content operation as of Oct 13, 2026: 6 daily blog-post jobs, 3 daily or every-other-day refresh/summary/index checks, 2 social jobs (Threads twice a day, Instagram), and 2 weekly checks and calculator builds. Jobs were picked with a filter he also turns into a reusable prompt: the task must repeat 3+ times a week in the same order, be checkable in one minute, and be reversible (never money-sending, deleting or messaging others). Guardrails: routines halt and log where they stopped if a password field appears, and Blogspot posts stay drafts for him to publish. A one-off scheduled job to end a book discount at 00:05 on Oct 13 ran on time. The post sells his 18-page PDF of the instruction and memory-file templates, so it is marked promotional.
Cut a three-hour trading workflow to about 20 minutes
A Hiscox trading manager built an agent workflow in an AI app Studio that automates a series of tasks which previously took around three hours and now take about 20 minutes. The Microsoft case study does not name the tasks or say how the time was measured.
Plumbing firm's voice agent books 600+ jobs from calls that used to go unanswered
Brothers Plumbing, Heating & Electric was losing work to missed calls: abandon rates neared 30 percent and callbacks took over 10 hours. ServiceTitan's AI Virtual Agent now answers in seconds and books jobs around the company's real capacity, service zones, technician skill sets and job types; the abandon rate fell to 5 percent, more than 600 jobs have been booked by the agent, and the company attributes $1.33 million in revenue to it.
$1,330,000
Two models built his screenshot tool for help docs; the second version was pixel-perfect
The AI and then Opus built a tool that mounts app UI in headless Chrome and takes screenshots for help docs; the Opus version was pixel-perfect.
Every day his system pulls the Google Ads search terms he is wasting money on
His system pulls the search terms that set off his Google ads each day and flags the ones that look wrong. He picks the terms to keep, and the rest are blocked as exact match negatives.
He changed his mind mid-merge; the approval and the merge were chained in one command, so the stop came too late
A developer told the AI to review and merge a pull request, then interrupted with do not merge, leave comments only. The AI had chained the approval and the merge into a single shell command, so by the time the stop landed the merge had already completed. Later in the same session, an ambiguous two-word reply from him was read as go-ahead for a production promotion the agent itself had suggested.
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Agents checked every landing page in a startup batch for real customer logos
Ran his agents over every landing page in YC's Summer 2026 batch to check customer logos, finding his hypothesis wrong overall and about 40 percent YC logos in horizontal AI tools.
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.