Why 95% of people get ChatGPT-5 prompts wrong
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What you'll learn
Fix 5–7 common prompt mistakes that weaken ChatGPT-5 outputs.
Force outputs into the right structure/format for reports, tables, emails, and decks.
Use sample examples to lock style and quality standards for your brand.
Combine with your own data/docs for reliable, context-aware responses.
Package into reusable playbooks for teams or clients.
Skills covered in this course
Languages
Course description
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.
WHAT'S INCLUDED
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Price with free access
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