The demonstration assigns one premium model to inspect a repository, divide a feature into independent work items, delegate them to specialized coding agents and review each resulting diff. The lower-cost workers handle data logic, interface components, tests and documentation in parallel while the orchestrator concentrates on planning and quality control.
A movie-tracker statistics page serves as the test case. The presenter reports that the orchestrated run used roughly one quarter of the premium-model tokens required by a solo run, while review loops caught issues before completion. The cost result is presented as the creator's own testing estimate rather than a controlled benchmark.
The practical guidance is to prohibit the master agent from implementing code, match each worker to suitable tasks, keep the review loop active, inspect the final diff personally and check the rate limits and data policies of every connected model provider.
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