Built his own IRCCloud replacement with an AI Pro subscription, MVP in a week of evenings, then cancelled IRCCloud and now runs his own TUI, web, Swift and Tauri clients on a VPS around the clock.
A man speaks voice notes into a smart ring during the day, and the AI sorts each note and sends it to the right place: memos and to-dos go to kintone, and answers come back on Slack and are read aloud. Every morning at 6 it sends him a summary of the day before, with the weather, the town garbage day, and what to take with him.
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.
Two vendor provided Windows programs had annoyed him for over 4 years. He pointed the AI at the Windows binary and converted each one to Python running on Linux, about a day each, weird RS232 protocols and everything, and it worked.
A researcher used AI and the AI Fable 5.1 to search for examples, write and run verification code, develop and check the proofs, and draft the paper for a triangulation problem. The result settles the value at 5 for every n from 9 up, with coordinates and edge lists published in a repository. He checked the argument himself; the paper is not yet refereed.
He used AI or the AI with Chrome to control his browser and fill out an annoying form. It filled the form in from answers he had put together in a Word doc, and it made no mistakes.
He had a pile of old laptops he had never gone through. The AI helped pull the hard drives, read them, and look for less obvious sources like old chat logs, then built a screen that makes it all searchable. He found personal history he had forgotten about.
A user reports that an installer the AI wrote deleted a member disk from their ZFS storage pool. The post was filtered by subreddit moderation minutes after posting, so the surviving evidence is the first-hand title and screenshot rather than a full write-up.
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He was tired of tracking upcoming releases and bookings in his Notes app. In two hours, using a third of a month's free credits, he built his watchitwhen app with AI and had the AI make the changes needed to deploy it.
He used AI 4 Argon in Antigravity CLI to run his network and system administration. It bought the domain and set up the full infrastructure, with hosting for a landing page, email, DNS, SSL certificates and hardening.
Creator's agent 'Poppy' helped stage a backyard drive-in movie night for her kids: it found toy cars on Facebook Marketplace, messaged sellers, sourced decorations, built a shopping list, ordered groceries (popcorn, chicken nuggets, carrots), and produced a printable family fall bucket list.
He wanted his AI character AYN to move and talk like a VTuber. The AI drew the art, Tripo made the 3D shapes, and the AI drove Blender by script to build, fix and export the model, while he only looked at the renders and said what looked wrong. The finished model has 16 expressions and lip sync that follows the expression.
His AI agent got a modified fork of OpenEPaperLink running on a hacked 2.6 inch e-paper price tag within a few days. The agent then took a photo of the tag through a webcam to check its own work.
Josh Collier ('Fractional AI Officer', 7.6K followers) showed the AI connected to Notion pulling his entire archive of 2,556 saved FB/IG items into a 'Saved Library' database with category, platform, type, author, link, hashtags, date, and full caption text. Breakdown read aloud: Exercise 562, Business 231, Mindset 221, Finance 144, Golf 137, Faith 97, AI 91, plus Lifestyle/Tech/Health and ~1,000 older captionless saves in 'Other.' He called it his AI now 'knowing' everything he saved.
With the AI’s help, mainly converting his site from Craft to 11ty, he revived an old side project. Subscribe to is a searchable directory of email newsletters and RSS feeds, and it is back online.
A few months back he had the AI convert a Pure Data patch into an Arduino program that runs on standalone hardware. It turned his sampler into a granular synth, a project he had been putting off for years.
Sends Nix packaging jobs to an agent and gets a working package, or 20 dependency packages, in about 20 minutes; the AI also fixed his monitor wake-after-sleep config in minutes.
Worried by the day's PHP security news, he told the AI before bed to look into it and report in the morning. The AI read up on the flaw, checked what his hosting provider was saying, then logged into his WordPress blogs and checked them herself instead of taking the provider's word for it, with a backup already staged and ready in case a fix was needed.
A music fan had the AI pull all 17 years of his listening records from his streaming history service, so the data now lives on his own machine. A few days later he had it build a personal browser that shows what he listened to each month, drops one time plays and noise tracks, and lets him queue songs to his home speakers in one click.
Inc. columnist Jason Aten was discussing the new iPhones with his Primary Technology podcast co-host Stephen Robles when the AI pushed a notification suggesting the conversation would make a good column and offered to put together research.
This only partly worked. Worth knowing before you try it.
She has been building SurfAnnotate with AI and two colleagues, a free browser tool that runs on Neurodesk. It makes drawing regions on cortical surfaces a lot easier for researchers.
His 3D Systems Sense 2 scanner had no working software left, since the maker and the other scanner apps had all dropped support. The AI updated the program he uses so modern RTX graphics cards work and found a data limit that capped his sensor at half its native resolution, and he later posted that it works.
Had the AI build a minimal OTel agent sending VM metrics to a collector plus iOS and macOS apps to query it regularly; works with his existing setup at no extra cost.
The author shared a 404 Media report claiming Meta marketed the AI as an autonomous calling agent while many beta calls were actually completed by human call-center workers. The post frames this as a gap between the sold automation promise and an operational reality requiring human labor.
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