Turn something useful you know into a lesson, tool, or digital resource.
What you’ll buildDesign one useful learning product and a small feedback test.
A useful digital product helps a person do something they could not do as easily before. It might be a lesson, checklist, journal, template, or small app. Start with the user’s problem and what they already know. The product’s job should be clear before you generate a large amount of content.
A learning outcome describes what the learner should be able to do. An example shows the skill. Practice lets them try. Feedback helps them improve. A quiz can support learning, but it should not be the only chance to apply the idea. Questions can appear throughout the experience.
AI can help draft explanations and activities. You check accuracy, reading level, accessibility, and the match with the learner’s need. Then test the product with a real person. A polished file is a beginning. A useful learning experience comes from what the person can understand and apply.
A lesson presents a long explanation and asks only whether the learner liked it.
Pause and choose your first action. Explain why it would help before opening the example response.
Choose a skill the learner should demonstrate. Show a worked example, let them practice, and give useful feedback. Check whether they can apply the idea to a new case.
Start with plain words, a useful question, and one worked example.
Hear a perspective, notice a choice, and pause to think.
Try a small task. Use feedback to make the next attempt better.
Make something you can use, test it, and reflect on the result.
These six modules outline the full course we are building. Planned topics are not yet full lessons. Start with the published foundation lesson below; available deeper lessons are linked in their relevant modules. No other course is required.
This introductory lesson is ready to use. The six-module curriculum below shows the larger course being developed. Take any course independently.
A digital learning product should help a person do something useful. Name the learner, the situation, and the task before choosing a file format. A worksheet, course, template, or small app can each solve different needs. “Understand marketing” is broad; “write a customer-focused offer and test it” gives you observable work. Ask what the person already knows and what prevents success. More content is not automatically a better product.
Choose an outcome, show an example, offer practice, and provide feedback about the same skill. If the outcome is making a decision, use a realistic decision rather than only asking for a definition. Break an unfamiliar process into manageable steps. Use a diagram where it explains a relationship, not as decoration that competes with reading. AI can draft material, but you check the facts, reading level, accessibility, and whether the task actually teaches the promised skill.
Ask a person from the intended audience to use a small version. Observe where they hesitate and what they can do afterward. Do not rely only on whether they like the colors. Revise unclear instructions and feedback. A sale also requires accurate scope, rights to included material, delivery instructions, and support expectations. Keep versions organized so customers receive the intended file. A learning product improves when the evidence changes the design.
A creator wants to sell a budgeting worksheet for first-time event organizers. Instead of adding twenty pages of explanation, they show one completed budget, provide a blank example, and ask the learner to find a missing cost. A tester overlooks transport, so the creator adds a short check and feedback. The product becomes easier to apply because it targets a real task and uses the test to improve the instructions.
Create a one-page prototype for a specific learner. Include an outcome, worked example, practice task, and feedback. Ask someone to use it, then record one revision based on what they actually did.
Ask someone to try your result when practical. Use their experience to revise one choice. The three questions check understanding; the project checks what you can actually do.
Notes stay in this browser when storage is available. Include them in your downloaded learning plan below.
Original InAct explanation and illustrative examples. These primary sources support further study; platform terms should be checked again before use. References use an APA-style organization, date, and title. Sources without a verified publication date are marked n.d.
The written lesson stands on its own. These optional videos offer another example or perspective. Read the focus, watch if you choose, and try the idea yourself. If a video is unavailable, continue with the explanation and practice on this page.
Ethan Mollick · The Wharton School
Start at 00:00. Separate demonstrations from claims about every workplace. Sketch a small task where you could compare your work with an AI-assisted draft. This talk is from 2023.
Watch on YouTube at 00:00 ↗The Wharton School. (n.d.). Generative AI & the Disruption of Work [Video]. YouTube. Original publisher link above. Video and availability remain controlled by the publisher.
Michael Seibel · Y Combinator
Start at 00:00. MVP means the smallest useful version you can test. Write what your first version must do and what can wait.
Watch on YouTube at 00:00 ↗Y Combinator. (n.d.). How to Build An MVP [Video]. YouTube. Original publisher link above. Video and availability remain controlled by the publisher.
Videos load only when you choose to watch. The original publisher controls playback; use the direct link if a player is unavailable. Captions and playback speed are available when the publisher provides them.
Your plan stays in this browser on this device. No account or server storage. Download it to keep your own copy.