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Most ChatGPT users get generic, unusable results β not because the AI is weak, but because they’re using weak prompts. The difference between “write an article” and a structured formula is the difference between a mediocre draft and publish-ready material that needs zero edits.
In this 12-minute tutorial, I’m breaking down β7 prompt engineering formulasβ I use daily to get expert-level output from ChatGPT, Claude, Gemini, DeepSeek, and Grok β the first time, every time.
π Timestamps:
0:00 β Generic vs Formula Prompts
0:26 β 7 Copy-Paste Formulas
0:41 β Why Formulas Beat Intuition
1:41 β Formula 1: Text Writing
4:01 β Formula 2: Image Generation
5:10 β Formula 3: AI Agent Presentations
6:18 β Formula 4: Programming & Code
8:54 β Formula 5: Data Analysis
9:44 β Formula 6: Creative Ideation
10:37 β Formula 7: Automation Blueprints
11:35 β CTA & Final Thoughts
π― βWhat You’ll Learn:
β’ Formula 1: Text Writing (LinkedIn posts, emails, blog posts, scripts)
β’ Formula 2: Image Generation (pro-level visuals using ChatGPT + Google Nano Banana)
β’ Formula 3: AI Agent Presentations (full slide decks with voice commands)
β’ Formula 4: Programming & Code (build browser games in one prompt)
β’ Formula 5: Data Analysis (sales data, CSVs, analytics with actionable insights)
β’ Formula 6: Creative Ideation (15 YouTube video ideas ranked by performance)
β’ Formula 7: Automation Blueprints (no-code workflows for GPT Agent Builder)
Each formula follows the same structure: βRole + Context + Task + Constraints = Professional Outputβ.
No guessing. No 20-minute editing sessions. Just copy-paste formulas that work across any AI tool.
π βTry one today β your workflow will never be the same.
π¬ βWhich formula will you try first? Drop a comment below!
ππΌ Like this video if you want more prompt engineering tutorials.
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