assignment

Experimenting on LLM features is hard because the outputs are open-ended and quality is fuzzy. Learn how to assign traffic, pick metrics that are not just engagement, handle variance from non-determinism, and avoid the traps that make a winning variant lose in production.

A trustworthy experiment platform is far more than a 50/50 split. The signal is consistent assignment, exposure logging, statistical rigor, and guardrails that survive peeking and sample-ratio mismatch. Here is the design.