How do teams check LLM output quality before shipping—manual review or evals?
Short-Camera-9029 · reddit · 2026-07-23
A practitioner asks how people actually verify LLM output quality before shipping features or agents.
They compare manual spot-checking with structured rubrics, LLM-as-judge, and evaluation frameworks, and ask which part of the workflow is most painful in practice.
More from coding & agent
- Hyperresearch claims one prompt can produce an 80,000-word dissertation locally — eyishazyer · 2026-07-23
- SymbolPeek lets coding agents read symbols instead of whole files, saving 1.61M tokens — Real_Veterinarian851 · 2026-07-23
- AgenC now defaults to one agent after multi-agent systems fell 39%–70% behind — tetsuoai · 2026-07-23
- AgenC’s swarm router keeps one agent by default and isolates every parallel writer — tetsuoai · 2026-07-23
- An AI coding agent broke a database schema with six migrations and 400 lines of ALTERs — Comfortable-Roof4278 · 2026-07-23
- Five frontier models all solved the same bugs, but cost varied 14x and Claude refused 40% — PromptPhanter · 2026-07-23