auto-itera

Use when the user wants to autonomously search for the best AI/engineering approach across competing candidates (prompts, models, retrieval strategies, architectures, algorithms) — give it a goal + candidate arms + success threshold, it runs the experiment to a defensible ship-or-kill verdict. Autonomously handles sourcing real production data, scoring arms in parallel, diagnosing per-row, sprint-and-generalize iteration, and writing the conclusion doc. Built-in safeguards (held-out test discipline, variance-floor checks, generalization gates) keep the verdict trustworthy.