Improve AI content generation for natural, brand-aligned tone

How a writer uses AI Being a B2B SaaS writer, I’ve written tons of long-form, product-led BOFU pieces. Why am I being so specific about the type of content I’ve written? Well, you’d assume that the more technical, feature-heavy, button of the funnel a piece is in B2B SaaS, the easier it should be for an LLM to predict the next word? Not true. During my experimentation phase last year, I tried to come up with as detailed a prompt as I could while writing the piece, but every single time, I’d run into these two major issues: 1. The sentence would feel way too mechanical for my taste and for the brands’. 2. No consistency or control over how two paragraphs under the same header sounded. Both of these issues were fixable if I went back and forth refining the prompts + editing the writing myself. But this sucked my brain glucose and it was frustratingly time-consuming. Not to mention it disrupted my overall writing flow — I’d almost forget where I was on the outline because I’ve spent way too much energy fixing a jumbled passage. Now this is part one of using AI to write, which I’m not a fan of and have mostly ignored even since. But there’s another part which most people don't talk about, and are simply unaware of: Making sense of information overload. When you onboard a B2B SaaS brand, you expect yourself (in a good way) to get drowned in a sea of documents related to brand guidelines, product documentation, editor guidelines, detailed briefs, product demo, case studies, GTM sheet, positioning documents and so on. And I love this. However, it will take a toll on your sanity if you try to: Use all that information at once to come up with a features comparison table. Or write a very detailed section about a feature while try to juggle between all the documents you need to collect the information from. Imagine more use cases like these. Simply put: just dump everything you know about the brand into the AI, then ask questions, have it write a block of text, let it create a table, double-check details, and so on. I’ve a few more practical cases like these which I might share some other time. But I’m mostly trying to draw a line between directly writing with AI or outsourcing your primary thinking vs AI-powered knowledge management… This is where AI is incredible. Wanted to share a more nuanced two cents other than a simple — don’t use AI vs AI will kill your job and steal your girlfriend. What do you think? Please share your experimentations and opinions as well.