Most AI book services work like a black box. Your content goes in, a manuscript comes out, and you hope it sounds like you. We thought creators deserved more than hope. The Source Map color-codes every paragraph in your manuscript: your original words from newsletters, podcasts, and posts alongside the connective tissue Prosed added to bridge your ideas together. Today, over 90% of each book we assembled is the creator's own words. Now you can see that for yourself.
Hey Product Hunt, good to be back! 🔥
When we launched Prosed in May, the conversations that followed meant more than just upvotes. Creators told us what they loved, what made them nervous, and what they needed to see before they'd trust a service like ours with their life's work.
One question came up more than any other: how do I know this book is really mine?
We could have pointed to the voice analysis, the quality scores, the editorial process. All of that is real. But if someone is putting their name on a book assembled with the help of AI, they deserve more than reassurance. They deserve proof.
So we built the 👉 Source Map 👈!
📖 HOW IT WORKS
Open any chapter in your Prosed portal and toggle the map view. Every paragraph is color-coded:
🟢 Your original content, pulled directly from your newsletters, podcast transcripts, blog posts, or course material
🟠 Connective tissue that Prosed added to bridge your ideas together. Transitions, chapter intros, the small pieces that make scattered content read as one cohesive book.
📊 THE NUMBERS
For the books we've assembled so far, over 90% is the creator's own words. The rest is connective tissue. And every piece of it is visible, editable, and yours to rewrite. We flag it. You decide what stays.
No other service in this space does this. If you're going to call it your book, you should be able to see exactly what's inside it.
🚀 TRY IT
We're still in beta at $47 for the first 100 creators. That pricing is going away soon. If you've already made a book with Prosed, log into your portal. The map is already applied to your manuscript. If you haven't tried us yet, this is the version we'd want you to see first.
Would love to hear what you think!
the source map solves the "is this mine" trust problem well, but the pitch about someone sitting on 8.8 books' worth of newsletters made me think of a different problem - years of newsletters/podcasts usually contain opinions the creator has since walked back or flatly reversed. when the pipeline pulls from a 3-year archive, does anything flag "you argued the opposite of this in a later piece," or is contradiction-checking across the timeline left entirely to the creator during review?
Turning existing content into a book is useful, but the 'shows its work' part is what makes it credible. Can authors reject a weak source or paragraph-level claim before the manuscript gets assembled, or is the evidence mainly there for review afterward?
Have users become more comfortable publishing once they can actually see what the AI contributed?
Interesting that the second launch is about proving the first one. Most teams would have shipped more features and this one shipped receipts instead. Says something about who your buyer is. Question: after the Source Map, is the remaining objection still trust, or has it moved to something else like whether the book is actually good?
I'm really interested in how the "your voice" matching holds up across formats. I found that my newsletter prose, podcast transcripts, and LinkedIn posts each have a completely different register, sentence length, punctuation habits. What's actually normalizing those into one consistent narrator voice, and does the writer ever get a say in resolving the conflict when the sources disagree?
Hey. The 90 percent number is the part I'd want defined more precisely, since word count share and meaning share are not the same thing. If your original sentences are the raw material but Prosed decides the order, the framing, and which of your stories go where, the connective tissue can end up doing most of the actual argumentative work even if it's a small percentage of total words. The Source Map showing origin per paragraph is a genuinely good trust feature, but does it also show how much the surrounding structure changed the meaning or emphasis of your own words, or only which words are literally yours versus added.
The other thing worth asking is what a creator is supposed to do with a paragraph flagged as Prosed structure that they don't like. Can they edit that connective tissue directly in the portal themselves, or does changing it require going back through your process again, since a source map that shows you the seams is only as useful as how easily you can pull them apart and rewrite them yourself.
One more thing we made for today 📖
The question behind Source Map is "how much of this book is really mine?" So we built a little page that answers it before you even start.
Count what you've already published: newsletters, podcast episodes, blog posts, videos, course modules. It adds up the words and shows you how much of your book already exists.
Most creators are shocked. Someone with 100 newsletters and 50 podcast episodes is sitting on 8.8 books' worth of material 🤯. Not 1 book. Almost 9.
And if your archive turns out to be a library, well. You know where we are today. 🧡
About Prosed on Product Hunt
“The AI book service that shows its work”
Prosed launched on Product Hunt on July 24th, 2026 and earned 116 upvotes and 13 comments, placing #11 on the daily leaderboard. Most AI book services work like a black box. Your content goes in, a manuscript comes out, and you hope it sounds like you. We thought creators deserved more than hope. The Source Map color-codes every paragraph in your manuscript: your original words from newsletters, podcasts, and posts alongside the connective tissue Prosed added to bridge your ideas together. Today, over 90% of each book we assembled is the creator's own words. Now you can see that for yourself.
Prosed was featured in Writing (59.3k followers), Artificial Intelligence (474.4k followers) and Books (122.6k followers) on Product Hunt. Together, these topics include over 133.2k products, making this a competitive space to launch in.
Who hunted Prosed?
Prosed was hunted by fmerian and Elise. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Prosed stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
fmerian,
Elise