AI Automation Offer Builder
Turn one business problem into a safe AI service offer
What it does
Choose a buyer, repeated workflow, reviewable output, and human approval point. Get a clear service sentence, five discovery questions, a fake-data demo checklist, and a reusable prompt for your preferred AI agent. Free, no signup, and nothing is stored.
Create a beginner-friendly AI automation service sentence, discovery questions, demo checklist, and universal agent prompt without storing your answers.
Choose the buyer, repeated problem, useful result, and human decision. The tool creates a clear service sentence and a prompt for Codex, Claude Code, or another compatible agent. Your choices stay on this page. Anonymous interaction events may be recorded. Owner approves external actions . Adjust any choice after applying it. I help a local service business improve lead and inquiry follow-up by preparing a summary with missing details, while the owner reviews external actions. Confirm your email and we will send one private Kit link. You can also download the public Kit directly without an email address. Compare potential buyers, problems, offers, and starter prompts before deciding what to…from agenticautomationacademy.com
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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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