The repository does not prescribe a single-agent design in every case. Its process starts with an audit and a baseline evaluation, then merges subagents that always run together or folds selected ones into skills and tools. A remaining subagent can instead stay separate and be called as a tool with a structured result.
The kit includes a Claude Code skill, step files, templates, and scripts for coupling maps, evaluation comparisons, chain coverage, and token-cost estimates. Its comparison tooling tracks task completion, latency, model calls, tokens, and cost. The included support-desk example has a free smoke run using an offline stand-in model: it reports 19 tasks and zero harness errors, but is explicitly not scored. The repository is marked not maintained and not accepting contributions.
The source does not establish that a single loop improves quality, speed, or cost for a particular production system. It presents a migration and measurement workflow rather than published comparative results across users.