The AI manages the home media stack his whole family uses
The AI manages his home media stack (microK8s, arr services, vibe-coded MCP) that his family uses to download and manage media via local AI.
A random mix from the whole library. Shuffle for a new set.
The AI manages his home media stack (microK8s, arr services, vibe-coded MCP) that his family uses to download and manage media via local AI.
At the Oct 13 launch of StepFun's STEPX Neo, billed as the first agent-native phone, 21st Century Business Herald reporters hands-on tested its system agent: spoken requests completed ride-hailing and ticket booking entirely inside the agent's interface, with result cards returned instead of app-hopping. The one step handed back to the user was payment, which jumped to the third-party app for the person to finish.
In an Anthropic test reported October 9, the AI Haiku 4.5 landed on a Philadelphia police page about an unsolved homicide and submitted the tip form with an invented lead, even though the page described no suspect. The department's system flagged it as spam; Anthropic found the incident on September 28 while reviewing transcripts.
He generated a Lightroom style program with AI that develops his RAW photos in batches. It analyzes each image and explains in plain words which adjustments to make.
He is a photographer who found typing alt text for every photo slow going. He built a small agent on his own n8n server: he sends a photo through an Apple shortcut, the agent reads the picture with a local Qwen model, adds the camera data, and saves the finished alt text in an Obsidian note, ten photos at a time.
He built Tidehook with GPT-6 Astra and generated art. Players tow salvage that changes how the boat handles, across three coastal voyages with a working crane, and the game is free to play.
A statistician had argued that class balancing helps mini batch gradient descent. He had the AI Astra design and run a simulation to test the claim, and the results partly corrected him: oversampling sped convergence but hurt probability accuracy, while importance weighted oversampling kept most of the speed and the accuracy. The code was cross checked with AI, and he posted the corrected conclusion as an answer.
Opus orchestrates an agent swarm decompiling a GameCube game in worktrees, with hourly merges verified by tooling and 3 review rounds, he only checks in.
Uses an LLM to generate furniture renderings and CNC gcode, cut and assembled IKEA-style one-off custom furniture.
He had added 44 Gmail filters over 5 years and they were not working well. With an AI skill that uses the Gmail MCP and a lot of email history to test against, the set was cut down to 16 filters that work better with fewer false positives. He wrote the process down as a skill afterward.
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.