The more I use AI, the more I realise that the quality of the answer often comes down to the quality of the question. When I’m vague, I usually get something generic back. When I’m clear about what I want, the outcome is usually much better. What's interesting is that it's made me think about business in the same way. Whether it's speaking with clients, setting expectations, or solving problems, clarity seems to make a huge difference. It's a simple observation, but one that's stuck with me. Has anyone else found that using AI has changed the way they think about communication or business in general?

If you missed the live session today delivered by @Peter Thomson and @Darryl James , or you’d like to watch it again, the REPLAY is now available, but only for the next 48 hours. Here are just some of the comments from the live session: “mind blowing”, “very useful”, “brilliant information”, “full of golden nuggets”, and “magic every time” Watch the replay here: https://www.peterthomson.com/replay-wake-up In this one-hour session, Peter & Darryl show you how to: - Attract better-fit enquiries rather than simply more leads - Sharpen your message so the right people respond faster - Stand out in a noisy marketplace - Use AI in a way that creates value rather than bland, generic slop The combination of Darryl's practical AI and Peter's persuasive business development is exactly what makes this session so valuable. Watch the replay now: https://www.peterthomson.com/replay-wake-up The replay will only be available for 48 hours. Go on then. P.S. At the end, you’ll also hear about our 3-week live deep-dive programme, starting on 30th April.

2 days ago Meta dropped Muse Spark . Their most powerful AI model ever. Rolling out across WhatsApp, Instagram, Facebook, Messenger, and their AI glasses. If you’re using Meta for leads or sales, pay attention. It’s going to change how content gets surfaced, how customers interact, and how ads perform. Which means… most current marketing strategies on Meta will quietly become less effective. And a small number of people will adjust early and gain an advantage.

If you you’re re-prompting AI repeatedly… this is for you. Most people write prompts like Google searches: “Write me a LinkedIn post about my coaching offer.” Unless you’re working inside a well-built custom GPT or Project, the model still has to fill in the blanks: - Who exactly it’s for - What outcome matters most - What angle you want - What tone you prefer - How long it should be That’s where the friction comes from. Instead, use the COF method: Context – what’s happening Outcome – what it needs to achieve Format – how you want it delivered Example: Context: I’m launching a new membership next month for consultants who want to hit £10k/month. Outcome: Generate inbound DMs from serious operators, not beginners. Format: Short LinkedIn post, punchy hook, 8–10 short paragraphs, direct tone, UK English, clear, compelling CTA. Now it doesn’t have to fill in gaps. Memory helps. Structure compounds. See if that improves your outputs.

Here’s one I just created. Useful info for you too. Do you use Infographics in your business?