I’ve been thinking about building an AI system that can analyze and match recent graduates with the most suitable industries. Inputs: CVs, LinkedIn profiles, bios, or cover letters — basically anything that gives context about a person’s background and skills and career goals. Goal: The AI reviews all this and suggests the industries or roles where that person would thrive the most. Now imagine connecting it to an AI Career Coach chatbot that talks to the user, helps them explore options, refine their positioning, and prepare for opportunities, helping them filter their industry for them. If you were to design this, how would you structure it? Would you use one AI agent or a few (like an analyzer, a matcher, and a coach)? Curious to see how you’d build it.

How do you know that you are ready to start building proof (free or paid work) ? Specifically how do you know that you have enough knowledge solving problems for a niche or two so you can start selling that solutions?

Building an AI agency has me juggling more AI tools than I ever imagined 😅 Most days I’m switching between Gemini and ChatGPT for analysis and writing. Recently, I’ve been using NotebookLM to turn 70+ page pdfs into podcasts I can listen to on the go. And with Google’s Nano Banana, I can edit photos exactly how I want with a single prompt, something that used to take me hours in Photoshop or Canva. The AI world moves fast, but the possibilities? That’s where it gets exciting.

This is what I learned from working with clients in the AI space. Solve one real problem for someone even for free or a fraction of the cost. When they see results, they start trusting you. That trust is your bridge to offering the next solution that solves multiple problems at once. After that, break your offer into clear, individual solutions. Show them exactly what they get and why it matters. It increases its perceived value. For example, if you’re offering an AI assistant, don’t just sell it as a tool. Show what it actually does: it can generate leads, repurpose content, and give insights that save time and make better decisions. When clients see the problems it solves, the value becomes obvious paying a premium feels easy. High-ticket is about solving what matters most to people who can pay you for your solution. Identify a problem for someone and create something that solves it. What do you think?

If you have been thinking about sharing your AI journey, so did I I’ve always wanted to get into recording talking-head videos. But honestly? The anxiety had the best of me. Just the thought of hitting record and talking to myself felt… uncomfortable. When I started my skool community, I realised I didn’t have a choice anymore. If I wanted to teach and connect with people, I had to show up on video. So I made a deal with myself: I’d record short videos every day with my phone propped up on my desk. No pressure. No publishing. Just practice. I did that for two weeks straight. And somehow, that small habit made it easier to show up, in my course recordings, coaching calls, and now, even here. When you’re ready to hit record, try this same approach. Just practice privately until it feels natural. How did you get comfortable on camera (or are you still figuring it out)?