Oconee Runtime
Govern what AI agents can actually do.
What it does
Oconee Runtime is an enterprise AI governance platform that helps organizations see and control what AI tools and agents actually do. Govern activity across browsers, IDEs, and AI coding agents with context-aware policies that allow, warn, or block actions based on risk. Get a unified audit trail of AI activity so teams can adopt AI without giving up control.
Oconee Runtime detects, controls, and enforces AI usage policies across ChatGPT, Claude, Copilot, coding agents, IDEs, and enterprise AI workflows.
Detect, control, and enforce AI usage policies across ChatGPT, Claude, Copilot, coding agents, IDEs, and enterprise AI workflows. From visibility into prompts and AI activity, to policy enforcement and high-risk action controls, Oconee Runtime covers every step of AI use. Monitor AI usage across browser tools, coding agents, and enterprise workflows in real time. Apply organization-wide AI policies without disrupting engineering workflows. Stop risky AI-assisted actions before sensitive data leaves your organization. Govern AI usage across browser, IDE, coding-agent, and autonomous execution surfaces. Watch a sensitive paste trigger detection, enforcement, and dashboard logging in real…from oconeeruntime.com
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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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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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