🎧 Purpose of the Lab
This lab is an interactive web app designed to teach users about prompt components using structured, research-backed methods.
- Understand the anatomy of effective prompts.
- Experiment with structured prompt components.
- Customize AI instructions using context, structure, task, and tone.
🔑 Core Prompt Components
Effective prompts are built from four adjustable components based on Chapter 1 of Release 8.0:
| Component | Definition |
|---|---|
| 📖 Context | Background info, user goals, and domain-specific knowledge. |
| 📋 Output Format | Desired structure (e.g., list, table, JSON). |
| 🎯 Task | The instruction or goal for the AI (e.g., analyze, summarize). |
| 🔒 Constraints | Tone, style, or restrictions required in the output. |
🧭 How the Web App Works
- Select a Topic (e.g., Education, Marketing).
- Adjust the four sliders to define prompt levels.
- Click "Add History" to save the current prompt version.
- Use "Live Preview" to refine your selection.
- Track iterations in "Adjusted Prompt History."
📚 Learning Path Integration
- Tamara the Template Seeker: Quickly find the right prompt configuration.
- Ethan the Experimenter: Test prompt combinations and assess results.
- Charlie the Customizer: Adjust tone, context, and complexity.
- Casey the Creator: Combine prompts for strategic outcomes.
🔎 Alignment with the Book
| Web App Feature | Alignment with Release 8.0 |
|---|---|
| Four sliders for design | Perfect Prompt Structure: Context, Output, Task, Constraints |
| Live Preview | Supports iterative refinement (Ch. 1, 7) |
| Multi-level sliders | Reflects low-to-high complexity (Cheat Sheet, Ch. 1) |
| Color-coded labels | Reinforces the 4-component framework |
| Personal notes | Encourages reflection and iteration |
| Real-world templates | Examples from domains like Education & Marketing |
🧠 Why It Matters
This lab fosters deep understanding of structured prompting:
- Prompt Crafting: One-off use cases and real-time experimentation.
- Prompt Engineering: Repeatable, scalable instructions for production AI use.
🧠 Advanced Capabilities (Coming Soon)
- Previews styled by tone (e.g., formal, playful).
- Templates from Chapter 12's Prompt Repository Matrix.