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Roadmap

Phase 0 — Repository Foundation

  • Establish repo structure.
  • Capture mission, Customer Zero thesis, and product thesis.
  • Create starter templates for runbooks, SOPs, change requests, model cards, data cards, and evidence.

Phase 1 — Secure MLOps Foundation

  • Build local-first lab environment.
  • Train and package a baseline model.
  • Containerize inference service.
  • Introduce CI checks and evidence capture.

Phase 2 — Secure Delivery and Operations

  • Add registry workflow, scanning, signing, SBOMs, and deployment promotion.
  • Simulate dev, test, and prod boundaries.
  • Build monitoring, drift checks, and retraining triggers.

Phase 3 — AgentOps Integration

  • Add a bounded agentic workflow around the deployed model.
  • Track context, tool use, memory, evaluation, human approval, and behavior telemetry.
  • Apply the CHANGE framework: Contextualize, Harmonize, Anticipate, Negotiate, Generate, Evolve.

Phase 4 — Company and Manual Release

  • Convert course artifacts into a J28 Secure MLOps and AgentOps User Manual.
  • Package the academy as a self-improving Agentic AI company operating model.