Module 3: Crafting Effective Prompts - Wrap-up
Reviewing the structural principles of high-quality prompting and preparing for advanced techniques.
Module 3 Wrap-up: Designing for Success
You have now moved beyond simple "chatting." You are now a Prompt Designer. By applying structure to your instructions, you've unlocked significantly more value from the AI.
What We Covered
- Lesson 1: The 3 Cs Framework (Clarity, Context, Constraints).
- Lesson 2: Grounding the AI with specific context and data.
- Lesson 3: Using step-by-step sequencing for complex reasoning.
- Lesson 4: Teaching the model through Zero-Shot and Few-Shot examples.
- Lesson 5: The iterative loop of observation and refinement.
Key Vocabulary
| Term | Definition |
|---|---|
| Delimiter | Characters like ### used to separate sections of a prompt. |
| Zero-Shot | Asking a task without examples. |
| Few-Shot | Providing examples to guide the output. |
| Grounding | Providing specific facts so the AI doesn't have to guess. |
Quick Quiz
- What are the "3 Cs"?
- Why should you use delimiters in a long prompt?
- How many examples should you typically give for "Few-Shot" prompting?
What's Next?
Now that you have the basic building blocks, it's time for the advanced stuff. In Module 4: Advanced Prompting Techniques, we will explore high-level patterns like Chain-of-Thought, Conditional Logic, and Prompt Debugging. This is where you truly become a "Power User."