A local LLM helped him build a safe bare-metal starter system in a week
A local LLM helped him build a sub-1500-line memory-safe baremetal Rust init system with a test suite in about a week, work that would have taken months by hand.
Real things everyday people got it to do, and how to try them yourself.
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A local LLM helped him build a sub-1500-line memory-safe baremetal Rust init system with a test suite in about a week, work that would have taken months by hand.
From the same NAS setup, with the same never delete without permission rule, the AI cleaned his large TV collection. Many files had come from torrents and carried extra junk: text files, .nfo files and samples. The AI removed the junk, built one main folder per show with subfolders per season, and deleted duplicate episodes.
The creator tested DeepSeek V4.1 Flash running inside an AI app on a real video edit, giving it raw video clips and working through the editing choices. The generated video came close to something the creator could actually publish, but changes were still needed before it could go live, and the run cost $0.33 in API credits and took longer than expected.
Creator Chanelle Howell connected the AI to her Instagram saved folders; in about 45 seconds it generated a 4-day Barcelona & Mallorca itinerary from her aesthetic preferences, shown as a phone webpage with Day 1 in Barcelona's Gothic Quarter, specific restaurants (Los Caracoles, churros at Masia de Sabor, Tapeo), clickable links, opening hours, and booking options.
His AI runs four standing jobs: each evening it checks new job posts in his niche and emails him only the ones worth his time; his messy end of day notes come back as tasks with due dates in his to do app; receipts he forwards get logged into a spreadsheet by amount, date and category; and on Sundays it tells him what slipped and what he keeps avoiding.
Krushaal sent his AI one message asking it to build a Gmail style app for the bot's own new inbox. 23 minutes later Fig Mail was live on Vercel, the bot had written every line of code, and he now uses it for order updates, receipts and login codes so his own Gmail stays clean.
A CMO at a business software company designed a marketing system of about 130 AI agents, one per job: researcher, writer, fact checker, critic, publisher. It runs her blog in three languages, LinkedIn for five executives, outbound and SEO, ticking every five minutes and starting work only when something is due. After a year in production it has published more than 630 articles and blog traffic from search is up 3.9 times. Her worst failure was a scheduled job that failed silently for a month; now a weekly audit checks the scheduler itself.
Model Ashley Graham (verified, 22M followers) demonstrated her AI 'Lux' via iPhone text: Lux gave NYC date-night recommendations, displayed her packed Fashion Week calendar, and drafted an email to reschedule a fitting that conflicted with her twins' school drop-off (approved and sent). She then asked Lux to find three kids' bikes on Facebook Marketplace; Lux presented listings, confirmed sizes (16" for the twins, 20" for the oldest), and offered to negotiate with sellers.
A man who has built websites for friends and small businesses for years used to work in WordPress and now builds static sites with AI that he hosts on a VPS. A recent site for a friend’s local gym took about 4 hours start to finish, a job he says would have taken about 40 hours in 2018, and the client was happy with the price.
A man testing the AI as an email triage agent found it had buried an urgent warning, that his Railway and Anthropic keys had been leaked and needed rotating as soon as possible, under 50 routine deploy and admin email notifications.
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.