Full course
8 lessons

Better Prompts for Better AI Results

Guide AI with more clarity and less trial and error. You’ll learn how to structure prompts, add the right context, set useful constraints, use personas, refine results through conversation, and build a prompt library you can return to for real work.

Start this course free

7 days free, then a monthly or yearly plan. Cancel anytime.

Taught by Faithe Day, Ph.D.

What you'll learn

Why Prompts Matter: Write clearer prompts that reduce guesswork.
The TCECF Framework: Build prompts with structure.
Context is Everything: Add details that shape a better output.
Constraints that Sharpen Output: Create conditions for clearer prompts.
Persona Prompts: Assign useful roles.
Multi-Turn Conversations: Refine step by step.
Prompting for Specific Tasks: Prompt for writing, analysis, coding, and ideas.
Building Your Prompt Library: Save and reuse what works.

Curriculum

The shape of the course

One mark for every step, in the order you take them. 155 videos, 9 knowledge checks, 6 exercises and a certificate of completion.

01
Why Prompts Matter
- 26 videos
- 2 knowledge checks
- 1 exercise
Learn why prompts matter and how to give AI clearer direction. In this lesson, you’ll compare weak and strong prompts to see how specificity changes output quality, explore how AI uses tokens and wording patterns instead of reading human intent, and practice reducing correction loops by writing prompts in “director mode.” By the end, you’ll know how to build prompts that remove guesswork before the first response.
Show all 29 steps Hide the steps
1. Introduction
2. Good Prompts vs Bad Prompts
3. The Bad Prompt
4. The Good Prompt
5. What Makes a "Good" Prompt?
6. Try It Yourself
7. Quick Check
8. Knowledge check
9. How AI Interprets Your Words
10. Words Become Tokens
11. Pattern Relationships
12. Why Word Choice Changes Outputs
13. Key Takeaway
14. Try It Yourself
15. Knowledge check
16. The Cost of Vague Prompting
17. What a Correction Loop Looks Like
18. Why This Happens
19. Quantifying the Cost
20. Key Takeaway
21. Try It Yourself
22. The Mindset Shift: You’re a Director, Not a Writer
23. What Directors Do vs. Writers
24. Why This Changes Everything
25. Concrete Examples
26. Key Takeaway
27. Show what you've learned.
28. Exercise : Final Exercise
29. Wrap Up
02
The TCECF Framework
- 23 videos
- 1 exercise
Build structured prompts with less guesswork by learning the TCECF framework: Task, Context, Examples, Constraints, and Format. You’ll practice turning vague requests into clearer, more useful prompts and apply the full framework to real-world tasks that guide AI step by step toward stronger outputs.
Show all 24 steps Hide the steps
1. The TCECF Framework
2. TASK - The Engine of the Prompt
3. Content & Demo
4. Clarification
5. Try It Yourself
6. Context — Your Prompt’s Steering System
7. What Context Means
8. Demonstration
9. Clarify What Context Is NOT
10. Practice - Try it Yourself
11. Pattern Anchors
12. What Examples Mean
13. Demonstration
14. Conceptual Takeaway
15. Try It Yourself
16. Constraints & Format
17. Define Constraints
18. Define Format
19. Demonstration
20. Key Takeaway
21. Try It Yourself
22. Show What You've Learned
23. Exercise : Final Exercise
24. Lesson Wrap-Up
03
Context Is Everything
- 19 videos
- 1 knowledge check
- 1 exercise
Make AI output more relevant by providing clearer direction through context. You’ll explore background, audience, and purpose as key types of context, learn how to decide which details belong in a prompt, and compare context-poor and context-rich prompts in ChatGPT. By the end, you’ll know how to reduce guesswork and improve alignment through better contextual prompting.
Show all 21 steps Hide the steps
1. Context Is Everything
2. Types of Context
3. Definitions
4. Demonstration
5. Try It Yourself
6. How Much Context Is Enough?
7. Decision Rule
8. Demonstration
9. Try It Yourself
10. Context About You
11. Define Each Type
12. Demonstration
13. Try It Yourself
14. Context Rich vs. Context Poor
15. Concept Clarification
16. Demonstration
17. Try It Yourself
18. Knowledge check
19. Show What You've Learned
20. Exercise : Final Exercise
21. Lesson Wrap-Up
04
Constraints That Sharpen Output
- 19 videos
- 1 knowledge check
Learn how properly applied constraints can make AI responses easier to use and more effective. This lesson explores how constraints on length, format, tone, audience, and content shape output, helping you understand when they improve clarity and when they limit useful exploration. You’ll also practice adding “Include” and “Exclude” instructions to guide AI responses more precisely.
Show all 20 steps Hide the steps
1. Constraints That Sharpen Output
2. Length & Format Constraints
3. Length vs. Format
4. Demonstration
5. Try It Yourself
6. Tone, Style, & Audience Constraints
7. Tone vs. Audience
8. Demonstration
9. Try It Yourself
10. Content Constraints
11. Include vs. Exclude
12. Demonstration
13. Try It Yourself
14. Knowledge check
15. When Constraints Help vs. Hurt
16. Constraints Help/Hurt
17. Demonstration
18. Try It Yourself
19. Show What You've Learned
20. Lesson Wrap-Up
05
Persona Prompts
- 19 videos
- 5 knowledge checks
Guide AI by assigning it a useful role and perspective. In this lesson, you’ll learn how persona prompts change the model’s priorities and approach, practice choosing personas that align with specific goals, and build clearer persona instructions using role, expertise, and perspective. You’ll then apply personas within the TCECF framework to create more focused prompts that produce stronger outputs.
Show all 24 steps Hide the steps
1. Persona Prompts
2. What are Persona Prompts?
3. Concept Explanation
4. Demonstration
5. Try It Yourself
6. Knowledge check
7. Choosing the Right Persona
8. Concept Explanation
9. Demonstration
10. Try It Yourself
11. Knowledge check
12. Writing Effective Persona Instructions
13. The 3 Elements of Persona Prompts
14. Demonstration
15. Try It Yourself
16. Knowledge check
17. Introduction to Combining Personas
18. Combining Personas With TCECF
19. Demonstration
20. Try It Yourself
21. Knowledge check
22. Show What You've Learned
23. Knowledge check
24. Lesson Wrap-Up
06
Multi-Turn Conversations
- 15 videos
- 1 exercise
Learn how to use conversation as an ongoing process to guide better AI results over time. You’ll work with AI through follow-up prompts instead of one-off requests, practice refining earlier responses, and learn how to steer the model when tone, audience, format, or focus drifts. You’ll also explore how to break larger tasks into smaller steps and recognize when it’s better to start fresh.
Show all 16 steps Hide the steps
1. Multi-Turn Conversations
2. Building On Previous Responses
3. Demonstration
4. Try It Yourself
5. Steering AI
6. Demonstration
7. Try It Yourself
8. Step-Based Prompting
9. Demonstration
10. Try It Yourself
11. Starting Fresh
12. Demonstration
13. Try It Yourself
14. Show What You've Learned
15. Exercise : Final Exercise
16. Lesson Wrap-Up
07
Prompting for Specific Tasks
- 15 videos
- 1 exercise
Build prompts tailored to the actual work you need AI to perform. This lesson teaches you how to structure prompts for writing, analysis, coding, and brainstorming while practicing ways to request clear formats, useful insights, scripts, and idea lists. You’ll also create reusable, task-specific prompts that can become part of your growing prompt library.
Show all 16 steps Hide the steps
1. Prompting for Specific Tasks
2. Writing Prompts (Emails, Reports, Creative)
3. Demonstration
4. Try it Yourself
5. Analysis Prompts for Summaries and Insights
6. Demonstration
7. Try it Yourself
8. Coding Prompts (Even If You Don't Code)
9. Demonstration
10. Try it Yourself
11. Creative & Brainstorming Prompts
12. Demonstration
13. Try it Yourself
14. Show What You've Learned
15. Exercise : Final Exercise
16. Lesson Wrap-Up
08
Building Your Prompt Library
- 19 videos
- 1 exercise
Turn useful prompts into a reusable system that supports real workflows. In this lesson, you’ll organize prompts into categories based on recurring tasks, build reusable templates with placeholders, and test prompts for clarity, relevance, consistency, and usability. By the end, you’ll have a structured prompt library that makes prompting faster, more reliable, and easier to integrate into everyday work.
Show all 20 steps Hide the steps
1. From Prompts to a System
2. Organizing Prompts
3. What Are Prompt Categories
4. Demonstration
5. Try it Yourself
6. Templates - Making Prompts Reusable
7. What Is a Template
8. Demonstration
9. Try it Yourself
10. Testing and Refining Your Best Prompts
11. Testing a Prompt
12. Demonstration
13. Try it Yourself
14. Sharing & Collaborating on Prompts
15. Projects in ChatGPT
16. Demonstration
17. Try it Yourself
18. Build Your Library
19. Wrap-Up
20. Exercise : Final Exercise
09
Certification of Completion

Congratulations! You now know how to write clearer prompts, provide better context, use constraints, and guide AI toward better results. Keep practicing—great prompting is a skill that compounds over time.
1. Certificate of completion

Your instructor

Faithe Day, Ph.D.

Questions about this course

How long is this course?

It's a full course of 8 lessons. Inside: 155 videos, 9 knowledge checks, 6 exercises and a certificate of completion.

Who teaches this course?

Faithe Day, Ph.D. Faithe helps non-technical professionals understand AI without the jargon. Her lessons focus on practical workflows, clear explanations and building confidence with modern tools at work.

Do I get a certificate?

Yes. Finish the course and you get a certificate of completion from The Neuron Academy.

Do I need to know how to code?

No, though you'll work hands-on with coding tools. The course walks you through them step by step, and like everything in the Academy it assumes no coding background.

How do I get access?

This course is included in a The Neuron Academy membership. Start with a 7-day free trial, then choose a monthly or yearly plan. Cancel anytime. New lessons are added every week.