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how-to · 5 min read
Loops That Work on Claude vs Gemini vs GPT
Not every loop runs equally well on every model. Here's a cross-model compatibility chart and the model-specific tweaks we use in production.
By Simple AI Prompt
The short version
- Claude Opus is the strongest steel-manner: Devil's Advocate, Expert Panel, and Socratic Loop all hit hardest here.
- GPT-5 wins on Chain-of-Verification, Refactor Loop, and Strict JSON.
- Gemini 2.5 Pro is the deep-research champion: Research Deep Dive and Pre-Mortem Loop produce the most cited, structured output.
Why models diverge
Loops bend reasoning patterns the base model already has. Claude is RLHF'd to be cautious and balanced - perspective loops amplify that strength. GPT-5 is RLHF'd to follow instructions precisely - verification and formatting loops shine. Gemini's 1M context window plus tool use makes it the natural home for research loops.
Tweaks that travel
A few small edits make any loop more model-portable:
- Add "be specific, name sources" to verification loops on every model - Claude over-hedges without it.
- Add "do not include any commentary" to formatting loops on Gemini - it tends to wrap JSON in prose.
- Add "wait for me to respond" to multi-turn loops on GPT - it's the most likely to answer its own clarifying questions.
A model-agnostic loop set
If you only want loops that work uniformly across all three families, start here:
/clarify- clarify before answer/cov- chain-of-verification/compare- compare three options/tighter- rewrite tighter/json- strict JSON
These five cover ~80% of daily use.