Tines 3B
The secure environment for agents, apps, and automations
In plain words
Tines 3B is a platform for building AI agents, apps, and automations in a single secure environment. It supports code-first development with AI assistance, allowing teams to describe processes in natural language and integrate with their own LLMs. Workflows run in isolated environments with protected credentials, full auditability, and monitoring. The platform includes Git integration and native branching for development workflows. An Explore Edition is available with three live workflows and unlimited users and connectors.
written from the facts on this page · September 2026
From the sources
Tines 3B is the single, secure environment for your most important agents, apps, and automation. Build with AI, from anywhere. Code runs isolated and credentials stay protected. Everything you ship is fully auditable and monitored from one place. Tines 3B is code-first and AI-native, built to help you move fast without compromising on security. Explore Edition is available today and gives you access to 3 live workflows with unlimited users, spaces, and connectors.
Tines 3B is a single, secure environment for every team’s important agents, apps, and automations.
One environment to deliver AI agents, apps, and automation: faster, safely, and at scale. Every team deserves the freedom to move fast. Every organization deserves the confidence that work is secure, governed, and built to scale. Build with natural language and your own expertise. Just describe your process in your own words and start building. Work in Tines 3B with your connected LLM to brainstorm projects, and interact across systems. Workflows are built in code, allowing for easy integration to your development processes. Git integration comes as standard, alongside native branching. Tines 3B proposes tests as you build, generating dummy data when needed and asking before using live data…from tines.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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