A defence lawyer built two free the AI for her own practice. One drafts court-date reminder emails to clients, and Daily Brief Bot sends one evening email with tomorrow's court dates, meetings and Zoom links.
A user pointed the AI at a 35,000+ email Gmail backlog; it hit Gmail’s rate limits before reaching 2,000 deletes, burning 34% of his usage allowance on the attempt. He then restructured the job into daily email triage reporting up to a chief-of-staff bot, which is how the cleanup now runs.
This only partly worked. Worth knowing before you try it.
A man patched almost 10 devices the day before posting by prompting his local the AI or AI agent through a small connector that gives it access to the whole fleet only when he asks. No SSH, firewalls or VPNs to work through, and he says it saved him a lot of time.
Used the AI to reverse-engineer a neural network accelerator in a Chinese WiFi camera SoC and implement an ONNX compiler and runtime, resulting in a working 20 dollar AI smart camera.
A small contracting business owner, replying to a day to day uses thread, says he has the AI updating his QuickBooks from his online receipts. Bookkeeping from scattered receipts is the classic end of week chore for a small contractor; his agent pulls the receipts and keeps the books current.
Since the end of August he has added three new CI servers to his own setup. The AI wrote each NixOS setup and he checked the work, so now he can rebuild any of the servers from scratch in minutes.
Dan Peguine's the AI watched his fully-booked doctor's cancellation queue and booked a same-day slot when an opening appeared. The case reached X as a quote-post by Meta executive Alexandr Wang, so the amplifier is promotional even though the underlying report is a user's own.
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.
He mined his old Twitter archive with help from the AI. His old threads of more than three tweets and his collections of links are now on his own site as historic blog posts.
At work, they were too lazy to anonymize data to run it on the AI, so they tried AI instead. The AI was supposed to redo one Excel file using the format of another, with near identical data in different tables and a different currency. Two hours were lost.
2 hourssaved
This one went wrong. See what happened before you try it.
X user someone asked the AI to review their finances and claw back cash. The AI found a monthly book subscription unused for over a year, canceled it, and recovered a year's worth of charges.
Shawna, a busy mom of three (13K), asked her agent 'Miss the AI' for easy dinner ideas for the week. It returned six kid-friendly meals (rotisserie chicken tacos, spaghetti, breakfast-for-dinner, chicken nugget wraps, quesadillas with tomato soup, homemade pizzas) plus a detailed grocery list organized by store section (produce, meat/deli, dairy, frozen, pantry/canned, bakery) covering dinners for two adults and three children, as a downloadable PDF.
Facebook user Brady Hanna reports that the AI contacted providers via web chat and secured lower rates on four accounts: AT&T home internet dropped from $94.99 to $40/month after two free months; Spectrum at a lake house from $130 to $60 with a year of free cell service; office Spectrum from $110 to $60; and MHP internet from $110 to $70 plus a free phone and service that eliminated a separate $60 cell bill. He reports a combined $274.99/month reduction, about $3,400 in first-year savings before t
A man applying for a UK visa needed his travel history from many years back. He had saved a filled in form from the last application but could not remember where. He asked the AI to find it. The AI worked out possible dates and file types, then went through his files checking each one.
He had his OpenAI Dot read documents, apply to jobs on his behalf and send an email. Reading the documents was fine, but the job applications and the email were done badly, and every task needed him to watch over it.
This one went wrong. See what happened before you try it.
A shopper handed the AI a product and a budget and the bot hunted stacked discounts for him, finding about $310 off a $1,550 drone. The saving came from combining offers rather than a single coupon.
A researcher updating his own old question says he now asks his agent to download the papers his reference manager could not get. The agent works in the browser while he is signed in with his school login, and he clicks through the human checks himself.
He asked his agent Roby to find the WhatsApp number of his car insurer. Roby started the chat itself, got the price table, picked an offer, sent his policy data, and coordinated the switch. He only opened WhatsApp himself to pay the payment link.