When building an AI evaluation platform, it is tempting to begin with dashboards, models, and scoring frameworks.
We started with a more fundamental question:
How can a team safely view evaluation telemetry without exposing the VM, its databases, credentials, or internal services to the public internet?
This article documents the pipeline we actually built: a secure, self-hosted trace-observability path for an AI evaluation platform.
It does not claim that a durable multi-tenant evaluation execution system has been completed. The observability and access pipeline is live; durable job execution, real project onboarding, and CI gating remain separate next steps.
