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
Notion to website
Internal organization
Prompts Used:
Use this after publishing the video. Input the video’s contrarian take and main value. Output a LinkedIn post with a strong hook, teaser, and CTA linking to the article.
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.
Turns raw notes and transcripts into a structured list of prioritized issues with clear recommendations.
Creates a clear, action-biased protocol with steps that include: approach, checklist, tools required, expected results, and (optional) GPT prompts. Output is Notion-friendly and uses sentence-style capitalization for step titles.
Generates a short handoff message for the dev ticket, including summary context, links, and key implementation notes.
Creates a short, task-based questionnaire for external users to test a prototype. Output can be copied directly into a Notion form.
Runs a usability test of two design versions (shared as PDFs), with GPT role-playing both Novice and Expert users. Produces structured feedback you can use to pick a winner or merge into a hybrid.
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.
