Generate websites, a course and a 318-page ebook
A behind-the-scenes breakdown of how I used AI to turn simple prompts into fully-built digital products, with real outputs you can replicate. Task: A behind-the-scenes breakdown of how I used AI to turn simple prompts into fully-built digital products, with real outputs you can replicate. I had this whole plan. I was going to write about all the tools I know that can help for creating courses, presentations, ebooks, visuals, and so on, plus how to use the biggest players like Perplexity, Gemini, and Claude to do it. A lot of you actually jumped into my group chat saying this would be useful, which made me even more excited to pull it together. Then my post draft became gigantic, and I decided to stick to this one tool – Manus AI – that actually really deserves its own spotlight. I'm not exaggerating. In three days of experimenting with Manus, I created more fully finished content than I’d normally produce in weeks if I did it all by hand. We're talking full websites, interactive courses, a 318-page ebook – all from simple prompts that took me less time to write than this intro. So here’s what happened: instead of that comprehensive roundup I planned, I’m dedicating this entire post to the one tool that changed how I think about AI-powered content creation. I’ll walk you through exactly what I built with Manus, show you the experiments I ran, and share the actual prompts I used, so you can see what’s possible and try it yourself. I’ll still write about those other tools in a future post. They deserve their own spotlight too. You’re reading AI BLEW MY MIND, where I run real experiments every week and share prompts and practical workflows so you can turn AI into your unfair advantage at work and in life. If you’re new here, subscribe to get future deep dives, breakdowns, and behind-the-scenes experiments like this one. Who’s this for If you’re building (or even thinking about building) an online course, digital product, workshop, cohort, or training, this is for you. This applies whether you’re: a solo creator monetizing your expertise a solo creator monetizing your expertise a consultant turning your knowledge into scalable products a consultant turning your knowledge into scalable products an agency helping clients package what they know an agency helping clients package what they know or part of a team building trainings, certifications, or onboarding programs or part of a team building trainings, certifications, or onboarding programs In any case, you’re here because you’re trying to turn your knowledge into something people can actually use, and AI is starting to reshape how fast and how easily you can do that. The content creation landscape in 2025 Let’s zoom out for a second. The global E-learning services market is estimated at $378 billion this year. By 2034, it’s projected to hit $2 trillion. In parallel, the number of creators is expected to grow by 10 to 20 percent each year over the next five years, as more educators turn their skills into courses and digital products. One platform alone, Kajabi, has grown into a giant since launching in 2010. They now host over 60 million students, support more than 50,000 course creators, and serve users in 120 countries. And when you break down how six-figure creators on Kajabi actually make money, the picture becomes even clearer: In other words: the opportunity is massive. The space keeps growing, but it’s getting more crowded and competitive every year. The good news? What once required full teams of designers, copywriters, editors, and developers can now be done by solo operators, if you have the right tools. That's where Manus comes in. What makes Manus different? It actually finishes things. Most AI tools give you a starting point. You ask ChatGPT for a course outline, you get a list of bullet points. Helpful, but you’re still the one doing the heavy lifting. Manus? It goes from idea to finished product. I’m talking deployed websites with custom URLs (like the vibe-coding tools I talked about here), courses with interactive elements, fully formatted ebooks ready to download. Not drafts. Not “here’s what you could do next.” Finished. Deployed. Live. Or fully packaged and ready to send. Unlike ChatGPT, which is purely conversational (you prompt, it replies), Manus operates as an autonomous agent built on multiple AI models working together (including Claude and others). But more importantly, it can actually execute and keep working while you’re doing something else. It can: Create and deploy websites to live URLs Create and deploy websites to live URLs Generate and compile documents; tools: Manus. Human role: The original post does not say how a person stayed involved.; limitations: Manus operates on a credit system where failed tasks consume credits, and complex projects may hit context limits, requiring manual task splitting. Visual design capabilities are weak, often producing illegible or unpolished graphics that need human intervention. The tool is an autonomous agent that can run in the background, but users must verify content accuracy and branding, as it does not replace human expertise or strategic oversight..
Tools
Published on Agent Work Atlas:
Overview
A behind-the-scenes breakdown of how I used AI to turn simple prompts into fully-built digital products, with real outputs you can replicate.
Workflow
A behind-the-scenes breakdown of how I used AI to turn simple prompts into fully-built digital products, with real outputs you can replicate. I had this whole plan. I was going to write about all the tools I know that can help for creating courses, presentations, ebooks, visuals, and so on, plus how to use the biggest players like Perplexity, Gemini, and Claude to do it. A lot of you actually jumped into my group chat saying this would be useful, which made me even more excited to pull it together. Then my post draft became gigantic, and I decided to stick to this one tool – Manus AI – that actually really deserves its own spotlight. I'm not exaggerating. In three days of experimenting with Manus, I created more fully finished content than I’d normally produce in weeks if I did it all by hand. We're talking full websites, interactive courses, a 318-page ebook – all from simple prompts that took me less time to write than this intro. So here’s what happened: instead of that comprehensive roundup I planned, I’m dedicating this entire post to the one tool that changed how I think about AI-powered content creation. I’ll walk you through exactly what I built with Manus, show you the experiments I ran, and share the actual prompts I used, so you can see what’s possible and try it yourself. I’ll still write about those other tools in a future post. They deserve their own spotlight too. You’re reading AI BLEW MY MIND, where I run real experiments every week and share prompts and practical workflows so you can turn AI into your unfair advantage at work and in life. If you’re new here, subscribe to get future deep dives, breakdowns, and behind-the-scenes experiments like this one. Who’s this for If you’re building (or even thinking about building) an online course, digital product, workshop, cohort, or training, this is for you. This applies whether you’re: a solo creator monetizing your expertise a solo creator monetizing your expertise a consultant turning your knowledge into scalable products a consultant turning your knowledge into scalable products an agency helping clients package what they know an agency helping clients package what they know or part of a team building trainings, certifications, or onboarding programs or part of a team building trainings, certifications, or onboarding programs In any case, you’re here because you’re trying to turn your knowledge into something people can actually use, and AI is starting to reshape how fast and how easily you can do that. The content creation landscape in 2025 Let’s zoom out for a second. The global E-learning services market is estimated at $378 billion this year. By 2034, it’s projected to hit $2 trillion. In parallel, the number of creators is expected to grow by 10 to 20 percent each year over the next five years, as more educators turn their skills into courses and digital products. One platform alone, Kajabi, has grown into a giant since launching in 2010. They now host over 60 million students, support more than 50,000 course creators, and serve users in 120 countries. And when you break down how six-figure creators on Kajabi actually make money, the picture becomes even clearer: In other words: the opportunity is massive. The space keeps growing, but it’s getting more crowded and competitive every year. The good news? What once required full teams of designers, copywriters, editors, and developers can now be done by solo operators, if you have the right tools. That's where Manus comes in. What makes Manus different? It actually finishes things. Most AI tools give you a starting point. You ask ChatGPT for a course outline, you get a list of bullet points. Helpful, but you’re still the one doing the heavy lifting. Manus? It goes from idea to finished product. I’m talking deployed websites with custom URLs (like the vibe-coding tools I talked about here), courses with interactive elements, fully formatted ebooks ready to download. Not drafts. Not “here’s what you could do next.” Finished. Deployed. Live. Or fully packaged and ready to send. Unlike ChatGPT, which is purely conversational (you prompt, it replies), Manus operates as an autonomous agent built on multiple AI models working together (including Claude and others). But more importantly, it can actually execute and keep working while you’re doing something else. It can: Create and deploy websites to live URLs Create and deploy websites to live URLs Generate and compile documents
Reported result
The author reported producing more finished content in three days than in weeks of manual work, including a live course website and a formatted ebook. However, the infographic experiment failed due to illegible text, highlighting limitations in complex visual design. No specific business metrics (e.g., revenue, user engagement) were measured or reported; success was defined by the completion of deliverables and the author's subjective assessment of speed and capability.
Human role
The original post does not say how a person stayed involved.
Limitations
Manus operates on a credit system where failed tasks consume credits, and complex projects may hit context limits, requiring manual task splitting. Visual design capabilities are weak, often producing illegible or unpolished graphics that need human intervention. The tool is an autonomous agent that can run in the background, but users must verify content accuracy and branding, as it does not replace human expertise or strategic oversight.
Try it
I want to use Manus AI to create a draft interactive course module and a short ebook chapter from my existing notes. First, upload my source files [replaceable inputs: e.g., 'notes.txt', 'outline.pdf'] to Manus. Then, input the prompt: 'Create an interactive course module on [replaceable input: topic] with quizzes and a landing page, and generate a 10-page ebook chapter on [replaceable input: sub-topic] using the attached style guide.' Run this as a small sample first. Do not deploy or publish anything yet. Show me the generated website URL and ebook PDF for my review. I will check for content accuracy, visual legibility, and branding consistency. If the output is poor, I will adjust the prompt or split the task. Only proceed to full-scale generation after I confirm the sample meets quality standards. Ensure no credits are spent on large-scale tasks until the sample is approved.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.