ActionBox
Human Approvals
What it does
Add durable human approval steps to AI agents, scripts, and automations with a REST API, SDKs, webhooks, and MCP.
Actionbox gives AI agents, scripts, and CI/CD pipelines a durable inbox to pause safely, ask a human for approval, and resume on a signed callback.
Give AI agents, CI/CD pipelines, and scripts a reliable way to pause safely, ask for human approval, and continue the second you give the green light. Ask for confirmations, text, choices, numbers, ratings, or structured forms that software can parse deterministically. Supervise cron jobs, background workers, and agent runs. Create an Action when expected progress goes silent. Give an MCP-capable agent durable ask_human and get_action tools through the protected local CLI bridge. Bind the recorded decision and reported execution outcome to the Action version and operation fingerprint. Review from the blocking CLI, web console, or native mobile apps while the API remains the authoritative…from actionbox.cloud
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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