A pattern for removing throughput bottlenecks on a single task by splitting it across multiple sub-agents that each work on a different sub-component in parallel — e.g., one sub-agent per platform when doing cross-platform research, instead of one agent working through platforms sequentially.
This is the mechanism the presenter points to as the practical bridge from Step 3 – Supervised Autonomy (AI Agency CEO Model) toward the framework's most aggressive claims (agent swarms, hundreds-to-thousands of concurrent agents) referenced in the Boris Cherny's 4-Step AI Maturity Framework — though within this source those larger claims are asserted rather than demonstrated.
Apply: Enhance an existing Skill to fan work out to per-component sub-agents — e.g., prompting "enhance my topic research report generation skill to use sub-agents for each unique platform."