Prompting Tips That Work Across Claude, GPT-5, and Gemini in 2026

Six months of cross-model testing surfaces a consistent set of techniques that deliver 28–30% fewer errors on structured tasks: chain-of-thought scaffolds, persona + goal + anti-goal triples, XML tags over markdown formatting, contrastive examples, and prompt chaining. GPT-5 is increasingly outcome-oriented (describe the goal, let it plan), while Claude locks in tight on roles and constraints. Self-critique prompts — asking the model to review its own output — consistently surface gaps before they compound.

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Sources: TechRepublic · Medium