You're building your course in the wrong order
10 AI prompts that take you from course idea to post-launch iteration
Most course creators build backwards. They spend weeks recording videos before they’ve confirmed anyone wants what they’re making. They write lessons before they know what transformation they’re promising. They launch to silence and blame the algorithm.
AI won’t fix bad course strategy. But it will show you exactly where your thinking is broken, fast, if you use it right.
These 10 prompts take you from raw idea to post-launch iteration. They’re designed to front-load the hard thinking, so by the time you record anything, you already know it’s going to sell.
What you’ll get:
A validation prompt that tells you if your course idea has a real market before you build anything
A curriculum architecture prompt that structures your entire course in one session
Prompts for lesson scripting, quiz creation and sales copy
An email welcome sequence prompt your students will actually read
A post-launch feedback prompt that tells you what to fix first
The problem with how most people use AI for courses
They use it to write faster. Transcribe a voice note, clean up a script, and generate a module title. Fine. But that’s using a calculator to count on your fingers.
The prompts below use AI to think with you, not just write for you. That’s a different thing entirely.
Prompt 1: Course idea stress test
What it does: Runs your course concept through a brutal market validity check before you invest a single hour in building it.
When to use it: Before anything else. Seriously, before you buy the domain.
The prompt:
I’m considering building an online course. I want you to stress test the idea before I commit to building it.
Here’s my concept: [DESCRIBE YOUR COURSE IDEA IN 2-3 SENTENCES]
My target student: [WHO IS THIS FOR, BE SPECIFIC - job title, situation, experience level]
The outcome I’m promising: [WHAT WILL THEY BE ABLE TO DO AFTER COMPLETING THE COURSE]
My planned price point: [PRICE]
Ask me the 8 hardest questions a sceptical investor would ask about this idea. Don’t soften them. After I answer, tell me honestly whether the idea is worth building, needs pivoting, or should be scrapped. Give me a clear verdict, not a list of possibilities.
How to use it:
Fill in the placeholders honestly. Vague inputs get vague feedback.
Answer all 8 questions the AI gives you. Don’t skip the uncomfortable ones.
Read the verdict, then ask: “What’s the single biggest risk you see that I haven’t addressed?”
Example input:
Course idea: A course teaching freelance copywriters how to use AI tools to increase their output without losing their voice or client relationships. Target student: Freelance copywriters with 2+ years experience who are worried AI is going to eat their business. Outcome: They’ll have a repeatable AI-assisted workflow that cuts their writing time by 40% while keeping their clients happy. Planned price: £397
What you’ll get: Eight pointed questions about market size, competition, student motivation and your own credibility to teach this. Then a plain-English verdict.
Advanced note: If the verdict is “pivot,” ask it to suggest three adjacent course ideas that use your same expertise but have stronger market signals. You’ll often find a better version of your idea hiding one step to the left.
Prompt 2: Student outcome definition
What it does: Forces you to define the real transformation your course delivers, not the features you’re excited about building.
When to use it: After your idea passes the stress test. Before you touch curriculum.
The prompt:
I’m building a course for [TARGET STUDENT DESCRIPTION].
Right now I’m thinking about it in terms of what I’ll teach them: [LIST 4-6 TOPICS YOU PLAN TO COVER]
*I need you to reframe this entirely from the student’s perspective. *
Tell me: 1. What does my student’s life or work look like BEFORE they take this course? Be specific about the frustrations, the wasted time, the embarrassing moments. 2. What does it look like AFTER? Again, be specific. What can they do, say, charge, or feel that they couldn’t before? 3. What is the single sentence that captures the transformation? (Not a tagline. A honest description.) 4. What are the 3 moments during the course where they’ll feel real progress? What triggers those moments?
Don’t list features. Stay in the student’s experience the whole time.
How to use it:
Be honest about the “before” state. The more specific and painful it is, the better your marketing will be later.
Take the transformation sentence and put it somewhere visible. Every lesson you write should connect back to it.
The three “progress moments” become your course’s emotional architecture. Design around them.
Example input:
Target student: Mid-career HR managers who’ve been told they need to “use data” but have no analytics background and feel lost every time someone mentions Excel pivot tables. Topics I plan to cover: Basic Excel, reading dashboards, understanding HR metrics, presenting data to leadership, using AI for analysis, avoiding common mistakes.
What you’ll get: A before/after picture specific enough to use in your sales page, a transformation sentence, and a map of where your students will feel progress.
Advanced note: If the “before” state the AI describes doesn’t match what you’ve heard from real students or clients, that’s worth paying attention to. You may be solving a problem you assume exists rather than one they’re actually feeling.
Prompt 3: Curriculum architecture
What it does: Builds your full course structure, module by module, with a logical learning sequence that doesn’t skip steps.
When to use it: Once you know your outcome. This is where you design the actual course.
The prompt:
I’m building an online course with this transformation at its core:
[PASTE YOUR TRANSFORMATION SENTENCE FROM PROMPT 2]
My student starts here: [DESCRIBE THEIR STARTING KNOWLEDGE/SITUATION]
My student ends here: [DESCRIBE THE SPECIFIC OUTCOME]
Course format: [VIDEO / TEXT / COHORT / SELF-PACED] Planned length: [E.G. 6 WEEKS / 10 MODULES / 4 HOURS TOTAL]
Build me a complete curriculum. For each module give me: - Module title (outcome-focused, not topic-focused) - What the student will be able to do by the end of this module - 3-5 lesson titles within the module - One thing most courses skip at this stage that I should include
Flag any point in the sequence where students commonly get stuck or quit, and tell me what usually causes it.
How to use it:
Review the module sequence before anything else. Does each module build on the last? If you could skip Module 3 and go straight to 4, something’s wrong.
The “commonly skipped” suggestions are usually the most valuable part. They’re often the difference between a course that gets completed and one that gets abandoned at 40%.
Take the “where students quit” flags seriously. That’s where you need more support, not more content.
Example input:
Transformation: HR managers go from avoiding data conversations to confidently presenting people analytics to leadership in under 8 weeks. Starting point: Can use basic Excel but avoids formulas, doesn’t know what metrics matter, dreads monthly reporting. Outcome: Can build a monthly HR dashboard, interpret the numbers, and present findings in a way leadership trusts. Format: Self-paced video. Length: 8 modules.
What you’ll get: A full curriculum with module outcomes, lesson titles and honest flagging of where you need to over-invest in support.
Advanced note: After you get the curriculum, ask: “Which two lessons in this curriculum will feel most overwhelming to a student who’s already short on time? How would you restructure them to reduce that?” You’ll often find you can split one dense lesson into two shorter ones without losing anything.
You’ve just built the foundation: a validated idea, a clear transformation and a full curriculum map. The next seven prompts are where the build happens.
Premium subscribers get the prompts for individual lesson scripting, quiz and assessment generation, student objection handling, sales page copy, email welcome sequences, community engagement content and post-launch course iteration. Plus the bonus implementation guide and platform-specific notes.