
StraxisWall
Permission checkpoint for AI agents.
What it does
AI agents are running in production with zero guardrails — issuing refunds, sending emails, querying databases unchecked. StraxisWall is a permission checkpoint. Before your agent acts, it asks. Your rules decide. Every decision logged permanently. One API call. Works with Python, JS, Go, LangChain, CrewAI. Free to start.
StraxisWall is a permission checkpoint for AI agents. One API call before any sensitive action — your rules enforced, every decision logged.
A permission checkpoint for AI agents. One API call before any sensitive action — your rules enforced, every decision logged. Your agent asks StraxisWall for permission before any sensitive action. Your rules decide the answer — enforced in milliseconds. Built for developers deploying AI agents to production — not prototypes. Add a permission checkpoint before your next agent action goes wrong. Free to start, five minutes tofrom straxiswall.com
Does the same job
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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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