NEES Core Engine V2 a governance runtime between your application and the model.

We just reached Developer Preview RC1 for NEES Core Engine V2, and I’m looking for a small group of developers to test it in real-world AI products.

The problem we’re trying to solve is something many AI builders eventually run into:

LLM APIs are easy to call, but production behavior gets messy fast.

You start dealing with things like:

inconsistent AI behavior
no clear trace of why a response happened
identity or memory leakage between users/sessions
prompt injection risks
provider logic spread across the app
rising token and inference costs
governance rules being rebuilt again and again

NEES Core Engine V2 is designed as a governance runtime between your application and the model.

It helps with:

runtime policy enforcement
identity and memory boundaries
governed provider execution
governance metadata and traceability
safer behavior handling
context and cost governance

The RC1 baseline is already live and verified across authenticated /chat, provider execution, health/readiness, governance metadata, and trace flow.

At this stage, I’m not looking to add more core features.

I want developers to integrate it, push it into edge cases, and tell me:

What works?
What breaks?
What feels difficult to integrate?
What would make it more useful in a real product?

Selected testers will get:

Developer Preview Guide
Individual NEES API access
Testing instructions
Structured feedback form

If you’re building an AI agent, assistant, SaaS product, or multi-user AI app and want to test NEES Core Engine V2 RC1, reply here or DM me.

I’m keeping the first testing group intentionally small so the feedback can actually shape the next improvements.