LLM-as-a-Judge Should Not Be Optional
Aggravating_Kale7895 · reddit · 2026-07-18
The author built two LLM-as-a-Judge prototypes rather than just staying at the conceptual level:
- Used Groq 120B and local Qwen 0.6B for answer comparison and evaluation.
- Integrated the judge into an insurance agent workflow to:
- Check inputs before executing actions
- Validate final responses against retrieved real data
In one real test, the actual premium was $310, but the agent generated $999 and fabricated benefits. The judge identified the issue, gave a 1/10 score, and triggered a retry.
The author's core conclusion: a judge shouldn't just be an optional tool, but should be mandatorily embedded into the orchestration flow. They are also looking to learn how others implement LLM judges in production.
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