AI Use Cases
Real use cases shared publicly on Reddit, Hacker News, X, GitHub and blogs, summarised in plain words with a link to every original post. New finds are added daily.
Showing 19 of 19
An amateur used Claude Code to write and run analysis on public astronomy data and believes it surfaced a planet candidate no one had catalogued; the thread discusses how to verify it.
Source: Hacker News ·
A hobby project for a small e-paper device on the fridge that shows the household shopping list, edited from a phone web page, built with help from Claude Code.
Source: GitHub ·
A blog post laying out a routine for using LLMs as a tutor: asking for explanations at different levels, quizzing yourself and checking claims against sources.
Source: Blog ·
An open-source command-line toolkit that gives AI agents a way to open, read and modify Microsoft Office files as part of an automated workflow.
Source: GitHub ·
The author pointed Claude Code at their own shoulder MRI files to get a layperson's read of the images, and concluded the results were interesting but not yet trustworthy enough to rely on.
Source: Blog ·
A Mac app records a call's microphone and system audio, transcribes it with a local speech model, writes an on-device summary, and lets you flag key moments mid-call or ask questions about past meetings without anything leaving the machine.
Source: Web ·
An open-source tool that has an LLM write multi-part, practical tutorials on a topic you choose, which you then work through by hand instead of letting the AI do it.
Source: GitHub ·
A developer had LLMs write most of a Rust implementation of the RAR archive format, describing what worked and where human review was still needed.
Source: Blog ·
Claude Code drives a SPICE simulation and a lab oscilloscope, then compares the measured waveform to the simulated one to verify the hardware behaves as designed.
Source: Blog ·
A developer built an open-source tool for scheduling and publishing posts to many social platforms in about three weeks, with Claude and Codex writing much of the code.
Source: GitHub ·
An open-source tool that lets a coding agent capture what the app actually looks like after a change, so it can verify the interface instead of assuming it works.
Source: GitHub ·
A reading project where Claude reads across a set of about 100 books and surfaces thematic trails linking passages between them, published as a browsable site.
Source: Web ·
A guide to running a coding agent on a remote machine and driving it from a phone terminal, so small tasks can be done away from the desk.
Source: GitHub ·
A research paper that ran AI agents and security professionals on real-world penetration tests and compares what each found.
Source: arXiv ·
A blog post on porting an HTML5 parser from Python to JavaScript in a few hours with a coding agent, using an existing test suite to check every step.
Source: Blog ·
A write-up on building agents that turn a business question into queries over spreadsheets and databases and return the answer, so non-technical staff can self-serve data.
Source: Blog ·
A research environment that measures how well LLM agents plan and automate by giving them the game Factorio and asking them to build production lines.
Source: Web ·
A staff engineer describes where LLMs actually help in their job, such as quick prototypes, unfamiliar code and proofreading, and where they avoid relying on them.
Source: Blog ·
An open-source app that collects words you meet in books, articles or videos and uses an LLM to generate Duolingo-style quizzes and lessons from your own list.
Source: GitHub ·
This site's analytics are open for everyone to see.