95% of People still prompt ChatGPT-5 wrong

Here’s an English version of your list, keeping it clear and structured: Why most prompts fail: vague questions, missing sources, no output constraints. Three-part prompt framework: role – reference sources – desired output. System prompt: define goals, style, and restrictions; maintain consistency across turns. Structured formatting: table/JSON/Markdown, required fields, grading criteria. Few-shot & style guide: 1–3 “correct” examples to model tone/process. Reasoning checklist: self-verify accuracy, completeness, sources, and presentation before returning output. Self-critique: highlight risks/gaps and propose corrections. Light RAG (Retrieval-Augmented Generation): feed summaries/documents to answer based on your own data. Purpose-driven variations: A/B test titles, opening lines, CTAs; select versions using measurable criteria. No-code playbook: receive request → process → log in Sheets/Docs → create email/slide → schedule reminders. Guardrails: stopping criteria, scope limits, change tracking, and sharing permissions.