$123,000 in one month. 50 books on Amazon. non-fiction. the first five were complete failures. every next one was a lesson. he didn't guess niches. he went on Amazon, opened top listings, read negative reviews and looked for weak spots - bad covers, no photos in reviews, outdated content. calls them "points of attack".
found a weakness - made a book better than the competitor in one specific place. cleaner cover, fresher content, real photos in the first reviews. Amazon Ads targeting competitors - his book shows up right next to their listing. people buy both.
20 books at $500 a month each = $10,000. but in reality one does $3,000, another $200, another zero. averages out.
he did all of this by hand. for years. research, writing, testing covers, running ads.
in 2026 AI handles most of that work. 68% of new non-fiction books on Amazon are already written with AI. autonovel assembles a full novel overnight - 80,000 words, audiobook, cover. $15 in API.
the system is the same. find the competitor's weakness, build something better, launch. the barrier is no longer knowing how to write - it's knowing which niche to pick.
it took him two years and 50 books. with AI the same catalog gets built in months.