🚀 [PROGRAM] [1.0] Production Validation Pilots

Is your feature request related to a problem?

To reach 1.0 we promised validation at three or more customer deployments, but there is no tracked plan or tooling to capture production readiness signals. Without an explicit effort, we risk shipping features without real-world hardening or feedback loops.

Describe the solution you want to see

• Define acceptance criteria for production validation (uptime targets, performance SLAs, feedback cadence) and track them per pilot customer.
• Build lightweight telemetry/feedback dashboards that aggregate health metrics, error rates, and feature usage from pilot deployments.
• Assign owners for each pilot, with playbooks for deployment, support, and escalation.
• Document lessons learned and required fixes ahead of GA, feeding back into roadmap issues.

Describe alternatives you have considered

We can rely on informal customer engagements, but without structured tracking we may miss critical gaps or overestimate readiness.

Additional context

This initiative should tie into benchmarking (#275) and evaluation harness (#276) so we can compare production outcomes with lab results. Coordinate with the Kubernetes deployment (#279) and auth (#280) work to ensure pilots use the intended 1.0 architecture.

Start by reviewing the linked benchmarking (#275), evaluation harness (#276), Kubernetes deployment (#279), and auth (#280) work to understand the intended 1.0 architecture. Define the pilot tracking scope, production-readiness criteria, telemetry and feedback needs, ownership playbooks, and the process for recording lessons and follow-up fixes.