If your AI content sounds generic, it's because you're feeding it generic input.
Katie gets on her soapbox this week about the "1000 viral hooks" and "500 content prompts" downloads flooding everyone's feeds, and why they'll never work: they were written by AI in the first place, thousands of other people have the same file, and the moment you feed them into your LLM it starts writing like someone else instead of you.
Instead, she walks through where your content ideas should actually come from. The questions clients ask, the comments, the DMs, the things people are stuck on. Noel shares a real client result live on the episode and Katie turns it into multiple pieces of content in real time, showing how one story becomes a how-to, a result post and a storytelling post. Plus practical advice on writing storytelling content when it doesn't come naturally.
They also tackle the AI poster problem (that identical format now on every Facebook group and LinkedIn feed), and Noel shares his top tip for generating on-brand graphics using HTML instead of AI images, which is faster, cheaper and far easier to edit.
Plus the week's model news: Gemini 3.8 Flash, Fable 5.1 as the first model carrying Anthropic's text watermark, and OpenAI's GPT-6 Astra.
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