Lecture Overview & Notes
Welcome to Lesson 10 of the Prompt Engineering Full Course! In this video, we move beyond basic settings and build a complete Custom GPT from scratch—taking a real-world problem and turning it into a fully functional AI assistant.
We identify a practical use case, map out the logic, write elite system instructions, upload specialized knowledge files, and debug edge cases live in the preview window.
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⏱️ What we learn ?
- Introduction: The "Problem-First" Framework for Custom GPTs
- Step 1: Defining the Problem & Business Goal
- Step 2: Designing the Assistant's Persona & Logic
- Step 3: Drafting System Instructions (Role, Constraints & Rules)
- Step 4: Uploading Reference Knowledge (Templates & Guides)
- Step 5: Live Testing & Debugging AI Responses
- Step 6: Publishing & Sharing Your Custom GPT
💡 ABOUT THIS LESSON
Building effective GPTs isn't about clicking random toggles—it's about structured prompt engineering. By understanding how system prompts, uploaded files, and context windows interact, you can build reliable AI tools that save dozens of hours every week.
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