The hardest part of leadership is not the big decision, it’s making it when you have nowhere safe to think out loud. We sit down with Andy Scott, a Vistage chair in the San Francisco Bay Area, to unpack why peer advisory groups have become a quiet advantage for CEOs and senior executives who want better judgment, stronger teams, and real accountability without hidden agendas. If you’ve ever felt the weight of “lonely at the top,” this conversation gives you a clear picture of how trust and confidentiality actually function inside a high-performing CEO peer group.

We also get tactical on LinkedIn strategy and prospecting. Andy shares how he uses LinkedIn Sales Navigator to define an ideal leader profile, search with purpose, and then use member connections to spark warm introductions instead of relying on cold outreach. Richard connects the dots to broader business development and hiring: filters are only useful when you know what to do after the lookup, and relationship-based engagement is what turns lists into conversations.

Then we go where every leader is being pushed right now: AI. Andy walks through his learning curve from ChatGPT to Claude, and why leaders who ignore AI are choosing to fall behind competitors who are already speeding up operations and decision-making. Richard shares a practical framework for building a “virtual board of directors” to stress test choices from multiple perspectives before you commit.

If you’re curious about experiencing this approach in real life, we also preview a June 2 workshop in downtown San Francisco that blends AI and LinkedIn insights with Vistage-style issue processing. Subscribe for more leadership and technology conversations, share this episode with a fellow leader, and leave a review with the biggest decision you’re trying to make right now.

You can’t stand out online with the same polished lines everyone else uses. Claude turns the tables and interviews me about what actually happens when you try to “sound more human” with AI and why most people fail on the first try: they serve the boardroom version of themselves. We unpack the cliché laundering problem, where AI doesn’t fix generic messaging it can amplify it unless you explicitly train it to challenge your answers, call out platitudes, and push for what the customer would care about.

From there, we move into the hard part of storytelling for LinkedIn and personal branding. The issue usually isn’t that people have no stories, it’s that they don’t know which moments are interesting to someone else. We talk through practical ways to surface better material: paying attention to moments with tension, keeping quick notes, using AI to interview you until the specifics show up, and shaping the story around the audience’s perspective rather than your timeline.

We also pressure-test my frameworks like the 3x5 method for commenting and AAE (acknowledge, add value, extend). Structure helps people start, but if you follow it like a script, you’ll sound robotic, and sameness kills attention. That’s where the Von Restorff effect comes in: the different thing gets remembered, and often the “different thing” is emotion. We close with the simplest takeaway that almost nobody does: have the same real conversation in comments that you’d have face to face.

If you want your content to carry your voice, not just your tips, listen now, then subscribe, share this with a colleague who posts safe, and leave a review telling me what you’re going to change first.

When everything looks the same, your brain tunes it out. When something is different, it gets noticed and remembered. That's the von Restorff effect, and it explains a lot about why most LinkedIn content gets ignored.

This matters right now because AI is making everything look the same.

I told Nancy that every client I work with insists they need an image on their LinkedIn post.

And I ask them why. Because it needs to stand out. But a stock photo of four diverse people smiling around a laptop doesn't stand out. Neither does an AI-generated image anymore.

I compare it to the movie Fantasia. When it came out, people had never seen anything like it before. It won an Oscar. Would you sit through it today? No.

That's what's happening with AI graphics. The first time was wow. Now it's wallpaper.

Nancy explained why this goes deeper than just visuals. When something surprises us, it amplifies our emotions by about 400%. That's when it gets encoded into long-term memory.

And here's what I found fascinating. If you're the person who created that surprise, you get encoded right along with it. I've had people track me down years after a presentation because what I taught them stuck. Nancy's research explains why.

She told a story about a bartender on vacation who brought her two glasses of wine when she only ordered one. The expensive one she'd already said no to. She bought it anyway.

Got back to the hotel room that night and realized exactly what happened. Reciprocity. And that's a story no AI could have written for her.

We also got into a practical technique for people who struggle with storytelling.

Have your AI interview you.

One question at a time.

Let it pull out the personal stories that only you can tell, then blend those with the structure it's good at. The result is content that sounds like you because it came from you.