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We built a governance layer for AI-assisted development (with runtime validation and real system)

I’ve been working on a project called Janus — a governance layer for AI-assisted development systems.

The core idea is simple:

Instead of evaluating performance, we evaluate governance through evidence and protocol conformance.

We just published the second paper, which moves from the theoretical model to measurable governance:

  • Evidence-based model (E+/E−)

  • Omission detection

  • Human authority boundaries

  • Deterministic reconstruction

  • Benchmark (ECR, GVL, PVDR)

Paper 1 (model):

https://doi.org/10.5281/zenodo.18974356

Paper 2 (validation):

https://doi.org/10.5281/zenodo.19239183

There’s also a live system running on top of it:

https://lluviadeideas-juegosdidacticos.github.io/trivias/

And the framework used to run it:

https://framework.janusgovernance.org/

I’d really appreciate feedback — especially from people working on observability, event sourcing, or AI tooling.

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