Z Protocol

Advances in open source models means more private inference. That private inference needs somewhere to become private action.

How does Z guarantee private AI? A TEE (trusted execution environment) is a hardware-protected part of a chip. Code and data go in, answers come out, and even the machine’s operator can’t directly inspect what happens inside. Run an AI model in one, and the data center can’t read your prompt, response, or working memory. Attestation lets the hardware prove it ran that way.

Provable privacy. On-chain inference receipts prove that your agents are thinking and acting with total confidentiality. Private inference. Private agents.

Private agents. Reliable agents. Z's TEEs can give you both.

GPT-Live isn't just speaking. It's listening, recording responses, and linking them to your identity. Anonymize yourself ASAP.

If it's not private, it's not yours. Private inference. Private agents.

If you don't have privacy protections, your ideas are being stolen. Make privacy your number one priority. Private inference. Private agents.

Deterministic guardrails for probabilistic LLMs. The path to reliable agents is on Z.

Happy Fable day to all who celebrate. Make sure to be responsible and anonymize your Fable usage 😉

Sonnet 5 or GLM 5.2? Either way, both are supported by Z.

Every model, one interface. ⭐️ Star your favorites and switch whenever you want.

Absolute musts in the AI era: → Optionality → Confidentiality → Sovereignty One subscription. Multiple models. Secure privacy.

When a frontier model gets shut down and you need to move to GLM 5.2, it should take one click. One API. Every model. Now private.

The opposite of model lock-in.

AI needs a VPN. Everything you can do with AI. Now private.

One subscription, one model. Or one subscription, every model. Everything you can do with AI. Now private.

❌ Model Lock-In ✅ Model Choice

Add privacy to your AI stack. Subtract nothing. Everything you can do with AI. Now private.

The open-source AI shift is not just about cost. It is about control. Cheaper models. Private inference. Greater optionality. Everything you can do with AI. Now private.

Keep your existing AI stack. Your favorite model, harness, everything. Just add privacy on top.