moai-workflow-research

Automate moai-adk research workflows by coordinating end-to-end iterative binary evaluation experiments across isolated worktrees, ensuring reproducible pipelines for skills, agents, rules, and config components.

Evaluate moai-adk component changes safely using a built-in five-layer safety architecture, risk controls, and worktree sandboxing to isolate experiments and prevent human drift during ad-hoc testing.

Track moai-adk evaluation suite progress and results using defined schema definitions and a lightweight dashboard workflow that monitors status, observations, and experiment lifecycles.

Yes, you can use this workflow to compare moai-adk agent configurations through iterative binary evaluations, applying data location conventions for baselines and observations to support reproducible research.

Yes, isolated worktrees are required to run moai-adk research pipelines, providing a sandboxed environment that satisfies the five-layer safety architecture and ensures safe experimentation.

Moai-adk research workflows suffer from configuration drift due to ad-hoc experimentation, which this structured methodology reduces by enforcing data location conventions and reproducible binary evaluation cycles.