parallel

A practical deep-dive into fan-out, pipeline staging, judge panels, adversarial verification, and loop-until-dry — plus an honest accounting of when spawning subagents actually earns its token cost and when it just burns money.

Why GPUs eat CPUs for breakfast on some workloads and choke on others. Serial vs parallel execution, Amdahl's law, the latency-vs-throughput trade-off baked into silicon, and a rule of thumb for when to reach for a GPU.