Can't wait to have a play with this later 1m input tokens?! https://www.anthropic.com/news/claude-opus-4-6

NC delivers my book with no paragraphing and AI can't figure it out.Like you I get it in a docx doc and hand sepateing the paragraphs seems to be against the point of NC. Thoughts? Dana?

One of the things I do as soon as a new report comes out (Romance just came out) is have Chat analyze it for me for the hottest trends. I actually asked it what the HOTTEST genre that you can write to market today - and it gave me some cool results. But what was interesting to me was this: ⚠️ What Looks Profitable But Isn’t “Quick” Just to save you time: - Mafia romance → slower unless you already have audience - Dark romance → higher volatility, slower trust build - Romantasy → long runway, high effort, delayed payoff - Sports romance → profitable, but not quick anymore (too crowded) Even though when asked - these are up there as HOT.... they aren't as easy to break into so if you are new and are looking for something you don't have to market as much - these aren't it. Here's my affiliate link for K-Lytics if you don't already have it.... honestly this has been the best $$ I've spent on reports ever. https://k-lytics.com/dap/a/?a=24047&p=k-lytics.com/romance

Yes - I asked Claude to review what I just did and create a post.... so it's whatever - but better than me typing it all out... Just did something cool with Claude that I wanted to share with you all... The Challenge: I wanted to figure out which book concepts would perform best on my YouTube audiobook channel AND align with current market trends. The Process: Step 1: Deep Dive into YouTube Analytics - Exported my channel performance data (views, watch time, CTR, engagement) - Identified patterns: which genres, tropes, and formats were crushing it - Found my surprise winners (some genres I didn't expect to dominate) Step 2: Cross-Reference with Market Data - Used my K-lytics genre reports (I have reports on 15+ genres) - Claude analyzed the intersection of MY audience's preferences + current market signals - Found the sweet spot between what's trending and what MY viewers actually consume Step 3: Concept Development - Asked Claude to generate 12 book concepts based on both data sets - Specified format: Title, Genre, Heat Level, 5 Tropes (comma-separated) - Got concepts that hit my proven winners while tapping into market demand The Results: 12 book concepts that are: ✅ Proven to resonate with my existing audience ✅ Aligned with current market trends ✅ Ready to develop with confidence (not just guessing) Key Takeaway: Your channel analytics are MARKET RESEARCH. If you're putting audiobooks on YouTube, you're sitting on data that tells you exactly what your audience wants. What You Need: - Your YouTube analytics (export to spreadsheet) - Genre market reports (K-lytics, Publisher Rocket, etc.) - Claude or another AI to help spot patterns The Magic: Combining YOUR data with MARKET data = concepts with built-in audiences Anyone else mining their platform analytics for book ideas? What's your process? 👇

I am going throught the free Codex class and tried to download this but it was blocked.