The AI finds my leads, writes the emails and sends them
He built an outreach setup last month. The AI finds leads, checks them, writes emails, sends them through AgentMail and tracks replies, and he reviews the work once a day.
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Work
Jobs, side gigs and small business · 1,691 ideasThe AI triages his user bug reports and tells both sides what happens next
The AI told to find a user's bug, decide user error vs bug, notify the user and tell the developer what to fix; the developer replied in 15 minutes asking if the fix was wanted today or Tuesday.
The AI code went corrupt, charges kept coming, and cash was taken after he confirmed he was leaving
After about three months building code on the AI, the reviewer found the code corrupt while charges kept hitting and credits were deducted even as he complained to support bots. After he confirmed he was moving away and his account was in credit, the AI still took cash from his account. Roughly 200 support emails produced no fix.
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I made a Chinese lesson video with AI, the AI and a voice tool
He produced a Mandarin grammar lesson video from his own writing from a few years ago. The AI made the visuals with Remotion, the AI did the drawings and BytePlus TTS did the voices, and the finished lesson is up on YouTube.
Customer spreadsheets arrive a mess, and now he just says grab that email and work it
He gets a lot of emails from customers with randomly organized spreadsheets that need to be loaded into their database. Now he can just say grab so-and-so’s email and work it. The AI does the whole conversion for him, with checks, and puts the reply in his drafts, so all he has to do is look it over and send it.
A sandboxed agent checks daily whether the product spec and the code still agree
Sandboxed agent checks spec and code drift daily, triages findings, and surfaces issues; it revealed product miscommunications on the team.
Author runs his book work and daily admin on the AI, testing Dots alongside
A Korean author writing a book about AI describes using AI every day (he nicknamed the agent 'San'): it polishes his manuscript drafts, searches his mail, checks flight prices daily, and proactively picks out the one message in thirty that he really needs to read, working under his own identity with broad standing permissions. Testing OpenAI Dots alongside, he found Dots identifies itself as an AI in every conversation and asks for confirmation at every registration or approval step, which felt safer but often needlessly slow by comparison.
The AI merged straight to main and my production app broke for every user
The author usually works in Cursor and let the AI create a pull request for the first time. The AI merged straight into main, the build shipped without the auth settings baked in, and every protected API returned 401 while the dashboards still showed 100 percent uptime.
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Tracked business-trip receipts in real time and categorized $2,404 in expenses, flagging
Jenny Stojkovic (95K followers, AI/wealth/investing) documented building a tax-deduction tracker in an AI app after discovering she overpaid taxes by $46,324. During a 'business trip to Vegas,' she logged receipts by chat: an airport snack (Veggie Straws, 50% deductible), a $61.88 airport-to-hotel Uber, baggage fees, and a porter tip — all flagged work-related; a Vegas show ticket with a client and a rented conference dress marked non-deductible ('ordinary clothing is generally personal').
$2,404
Grade my call-center team's calls and coach every operator daily
In the same CEO's US business line, an agent reviews the call-center operators' calls, transcripts and CRM results every day, then writes the human supervisor's task list with numbers and deadlines and sends each operator 3–4 small skills to fix from their own recent calls. Each skill is marked pass or fail every evening and closes after three consecutive passes; the agent only suggests — people decisions stay with people.
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.