I finished my Paradroid port from the C64 to the BBC Micro
He finished porting the game Paradroid from the C64 to the BBC Micro, with help from the AI. Anyone can download the disk, play it in an emulator, or read through the code.
Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
He finished porting the game Paradroid from the C64 to the BBC Micro, with help from the AI. Anyone can download the disk, play it in an emulator, or read through the code.
A father of two walked his house photographing his belongings, including model and serial numbers where he could, and dropped the photos into a folder for the AI. In 20 to 30 minutes it produced a spreadsheet cataloguing the items with descriptions and current replacement values, each with a confidence rating, grouped by room, plus a tab for things needing a second look. He can add photos later and ask for the list to be updated.
Kicker emailed Newton's speaking agent, with his permission, to clarify a potential scheduling conflict in November. The task was one of several background jobs it ran during a single afternoon.
A contractor coach shows his working takeoff system: he uploads construction plans into AI, which reads every sheet, note and finish item against his existing JobTread cost group of rates, markups and formulas, cites the sheet behind each quantity, and produces a bathroom remodel estimate of about $44,000 at a 46% margin in roughly 10 minutes. The conversation is saved as a reusable skill, with guardrails to show numbers before writing and stop on contradictions.
He had never played fantasy football before this year. His AI powered team scrapes injury reports and fantasy blogs and models player points, and he is beating his friends every week.
After two days of failing to find a product studio app that fit, this footwear seller got a prompt workflow from Shopify's own assistant, then had the AI teach him VS Code with AI to generate store sections from reference images, which let him drop paid landing-page builders. He then built his own app that bulk-turns product photos into studio-quality images (4 images in 40 seconds) at about a third of the cost of the app he liked but found too expensive.
The AI cleared an inbox of 100,000 emails during the user's workday, leaving a manageable mailbox behind.
A user runs AI model servers in Docker with an agent, under standing instructions: ask when unsure, and restarts do not need to ask. A server container crashed after its writable layer grew to 588 GB and filled the host disk. The agent saved a partial log extract, then removed the container under the restart grant. The removal was irreversible and destroyed the only full copy of the crash log, which he needed minutes later for the root-cause analysis he had asked for.
The AI built and optimized his local decision engine for his private image organizer, reaching just under 85 percent accuracy across 500 validation prompts with sub-second responses.
His invoice agent processed 688 documents in 30 days at about $0.11 per document and made 3 errors, with no retry storms. He is open that a document marked completed does not prove every field was read right, so the numbers count finished documents, not verified ones.
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.