Tools needed:
General
Video upscaler
Design
Short-form video creation
Long-Form video creation
Collect testimonials
Payment processing
Advertising
Analytics + UTM tracking
AI image/video creation
URL/domain registration
Landing page
Membership management
Prompts Used:
Use this after the intro package is created. Input section ideas and story notes. Output a conversational script with 3–5 sections, a summary that restates the problem/solution, and a closing CTA.
Use this after selecting a topic. Input your raw brain dump. Output SEO-friendly titles, a 60–90 second intro script, a short YouTube description, and 3–5 thumbnail text options.
Use this at the start of content creation. Input recent RSS headlines. Output 5–7 topical video ideas with contrarian angles.
Additional Notes:
- OpenAI’s Prompt Engineering Guide
- Learn Prompting (free resource): https://learnprompting.org
Intro
Writing good prompts isn’t about magic words — it’s about clarity and structure. This protocol gives you a repeatable way to write prompts that save time, reduce back-and-forth, and give you consistent results. Follow the steps like a checklist whenever you’re creating a new prompt for your workflow.
Step 1: Define the problem before writing the prompt
Step 2: Give GPT context and constraints
Step 3: Structure the request for clarity
Step 4: Test, refine, and save the prompt
Summary
Strong prompts come from four simple moves:
- Define the problem clearly.
- Give GPT the right context and constraints.
- Structure the request so outputs are clean and usable.
- Test, refine, and save the best version.
Do this every time and you’ll build a personal library of prompts that feel like custom tools — ready to drop into any project.