VEILPIERCER: Monitor your AI agents. One-time payment. No cloud.

Stop rogue agents and audit decision chains in real-time. VeilPiercer is the definitive AI control plane built for the 2026 Tensor Era and local CUDA swarms.Most AI agent setups are a black box. VeilPiercer fixes this: 6 specialized agents score each other every cycle. Runs on your hardware via Ollama. $197 one-time. No subscriptions. No cloud. Syncs live to Notion in real-time.

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Hey PH! Lauren here, maker of VeilPiercer. I built this because I was running 6 AI agents locally and had zero visibility into what they were doing. Every cloud monitoring tool added costs on top of already-expensive model calls. So I built a swarm where agents score each other every 35 seconds using a REWARD model. The highest-scoring agent gets flagged as MVP. Lessons get written back to memory. After 70+ generations it's genuinely self-evolved. The Notion MCP integration is live ,the swarm updates a Notion workspace in real-time: https://dev.to/fliptrigga13/nexu... Happy to answer anything about the local LLM stack or how the scoring works!

Hey PH! 👋 Lauren here, maker of VeilPiercer.

Quick backstory: I built this because I was running 6 AI agents locally and had zero visibility into what they were doing. Every cloud monitoring tool added costs on top of already-expensive model calls. I wanted something that ran on my own hardware and cost a flat rate forever.

So I built an AI swarm that monitors itself.

The agents score each other every 35 seconds using a REWARD model. The highest-scoring agent each cycle gets flagged as MVP. Lessons get written back to memory. After 70+ generations it's self-evolved into something I didn't fully design.

The Notion MCP integration is live , you can actually see the swarm updating a Notion workspace in real time here:

https://dev.to/fliptrigga13/nexus-ultra-notion-i-wired-my-local-ai-swarm-to-notion-mcp-and-it-updates-live-every-35-seconds-87g

Happy to answer any questions about the local LLM stack, the scoring mechanism, or how to set this up. Runs on any modern GPU via Ollama — or even CPU-only (just slower). 🙏