For humans.
These are the projects where a person is the user: someone sitting at a keyboard, with AI working for them.
The machine does the heavy lifting. The judgment, the taste, and the reason it exists stay human.
Looking for what we build for AI agents? · How we build, by the numbers
Obviously Not Patents #
Your code contains inventions you don't know about yet.
Most developers don't see their own best ideas. To them it's just how the problem got solved. ObviouslyNot reads a codebase the way an engineer would and names what's actually distinctive in it, so the people who did the thinking can decide what's worth protecting. It can run entirely on your own machine, because your code should stay yours, and if you ever talk to a patent attorney, you start from your own ideas instead of a blank page.
Source on GitHub: patent research skills · code concept scanner · patent practitioner tools
Local Alaska News #
Local news, from the source.
Alaska has more public meetings than journalists to sit in them, and when nobody covers what governments do, accountability goes with it. Alaska News lets AI sit through the meetings and write a first draft of each one from the transcript, so no meeting goes uncovered. Deciding which rooms matter, calling the person who testified and answering for the story stay with people: editors today, and the community itself as it grows. Every article links the source it was written from. It's the first newsroom on Communities News, which is built so any town can have one.
Source on GitHub: local news agent skill · public meeting records research
Election Voting Monitor #
A record of what AI tells voters.
More and more people ask AI who's winning, what a candidate believes, or whether their vote matters, and nobody was keeping track of the answers. During an election, Voting Monitor asks consumer AI products about the real races every day, saves every answer, and sets them beside the prediction markets and the polls. It doesn't forecast, and it doesn't endorse anyone. Through the 2026 elections it saved more than 300,000 answers, and it comes back for each election after, local, state and presidential, so drift, bias and disagreement with reality stay visible.
Locally Distributed AI Compute #
AI on the computers you already own.
Running AI has come to mean renting someone else's computer. Meanwhile the machines on your own desk and shelf sit idle most of the day. Local AI Herd gathers them into one small fleet, so your AI runs on hardware you already own, on your own network, answering to no one else. They just needed a shepherd.
Source on GitHub: local AI load balancer
Belto AI Karaoke #
AI writes the song. You give it the voice.
AI can write a song in seconds, but it can't feel one. On Belto, the AI track is the rough draft and people step up to sing or play their part, and the crowd votes the best human takes onto the stage. A song isn't really finished when it's generated. It's finished when someone sings it like they mean it.
Source on GitHub: karaoke tools and Suno import skill
de-amplify social media #
Making the feed's "stop" actually stop.
Engagement feeds are in court for addicting kids, and the argument keeps getting stuck on whether addiction counts as a diagnosis. de-amplify argues for a simpler fix it calls control integrity: if a platform offers a brake, the brake has to work and it has to hold. It regulates the brake, not the speech.
Source on GitHub: de-amplify proposal and site
Sunset #
Not everything stays running, and that is the point. Building something, learning what it had to teach, and then shutting it down cleanly is its own kind of win. These are finished, not forgotten.
- Keeni.Space 2019–2022
Standard operating procedure software, born out of rocket launch operations. It turned static documents into procedures a team could actually run together, step by step. The problem was real. The market was slower than the runway.
Build with us #
We're building tools that put AI to work for people. If that sounds interesting, we'd love to talk. See the Hiring page. Our open source work is on GitHub, under geeks-accelerator, obviously-not and news-community.