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.
GPT-Live isn't just speaking.
It's listening, recording responses, and linking them to your identity.
Anonymize yourself ASAP.
If you don't have privacy protections, your ideas are being stolen.
Make privacy your number one priority.
Private inference. Private agents.
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.
One subscription, one model.
Or one subscription, every model.
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.






