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Two Types of AI Loops: Deterministic vs. LLM-as-Judge

Agents & MCP◆ Intermediate◆ Advanced@buildwitholisaved JUN 22

◇ Could this help me?

Yes: This deterministic vs. LLM-as-judge framework applies directly to this workflow and any Claude Code project. General Claude Code update. Use this mental model when designing any looping or self-checking agent task.

✦ Walkthrough+10 xp / step

When setting up an AI loop:
First ask: can the goal be measured with a concrete value? (load time, error count, coverage %) → Use a deterministic loop with a numeric target Claude checks itself.
If no clean metric exists (code quality, doc accuracy, prose clarity) → Use an LLM-as-judge loop, but write a detailed rubric for Claude to test its work against.
Default rule: try to reduce the goal to something deterministic first. Only hand judgment to the AI when it genuinely can't be measured.

0 / 4 steps · adopt for +40

$ suggested_prompt+40xp

I want to set up a loop for [task]. Help me decide: is this a deterministic loop (measurable target) or an LLM-as-judge loop (needs a rubric)? If deterministic, define the target. If LLM-as-judge, write the rubric.

Two Types of AI Loops: Deterministic vs. LLM-as-Judge

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