Welcome to another Market Dominance Guys episode, and today we're trying something completely different. What happens when you spend four hours in a studio recording sales training content, and then someone creates an AI version of you? Well, you're about to find out.

Our Chris Beall recently worked with Alex Kutsishin from myfuel.io to create AI-powered training experiences. The result? An AI Chris that sounds remarkably like the real thing – maybe a younger version – and knows everything Chris teaches about cold calling, market dominance, and the psychology of trust.

In this experimental episode, the real Chris interviews his AI counterpart, diving into First to Converse principles, list-building strategies, and how to master the emotional journey of cold calling. It's enlightening, it's creative, and yes, it's a little weird hearing Chris talk to himself. But it showcases an efficient new way for sales teams and enterprises to access expert training 24/7.

Let's listen in as human meets algorithm in the pursuit of sales excellence.

Alex Kutsishin, Chief Executive Officer

Alex Kutsishin is co-founder and CEO of FUEL !nc, the world's first Performance-as-a-Service platform for sales teams and leadership designed to redefine business education and performance standards. With an entrepreneurial spirit evident since his youth, he has co-founded ten companies — from pioneering medical offices in Washington, D.C. to introducing the first American-based low-code, no-code platform for custom mobile websites. Kutsishin has won numerous awards, including EY Entrepreneur of the Year.

We'd signed off. Thanked everyone. Sam Daish was probably ready to start his day in Auckland, and we were wrapping up what had already been a dense conversation about AI in sales. But then Chris started talking about something he calls "micro pivoting" - those split-second adjustments that separate elite salespeople from everyone else - and none of us wanted to hang up.

What followed was Chris dissecting the athletic nature of top sales performance, using Cherryl Turner's cold calling mastery as a case study. The insight about how elite reps make tiny voice and timing adjustments that most of us would never notice, and how those microscopic moments determine whether a conversation continues or dies. This wasn't planned content - it was pure discovery happening in real time, the kind of conversation that makes you realize the real secrets are hiding in plain sight.

Sometimes the best episodes happen when you think you're done recording.

Chris and Corey are joined by Blackpearl Group’s CTO, Sam Daish. In this episode, he's dousing us with the reality of why most sales AI tools are basically expensive cat toys. Blackpearl has built Bebop.AI, a tool that makes sense as an addition to a sales pro’s tech stack. It could probably replace several nonsensical shiny AI tools they are currently batting around instead of making calls.

Corey's firing questions about AI fatigue (because let's face it, we all have it), while Chris goes full mathematician on us with this brutal insight: sales reps are like cats chasing laser pointers with AI. Lots of movement, lots of fascination, but nobody's actually catching anything.

You may wonder how this fits in with BeBop.ai. It will make more sense after you hear the origin story - they almost called it "Hot Pipe" until someone pointed out the, uh, alternative interpretations. Instead, they went with a full bebop jazz vibe in the function and tone because they wanted sales to feel like improvisation, not a pile of dated rigid playbooks.

As the real kicker, Chris breaks down why most AI implementations fail: false negatives. You're not just calling the wrong people - you're missing the right ones entirely. And Sam's nodding along because BebopAI tackles this by making the entire Internet your database instead of some limited proprietary dataset.

The feature that gets reps most excited? Not the fancy prospect data. It's the objection handling. Turns out confidence beats information every time.

Join us for this episode, “The Laser Pointer Problem: Why your reps are chasing AI like distracted cats .”

Action Items Suggested in This Episode:

• Audit your AI strategy focus - Are you trying to bring bottom performers up, or amplify your top performers? Chris argues the latter delivers exponentially better ROI
• Identify your "Jonti McLarens" - Find your top performers and give them 10% more time/better tools (equivalent to adding 10 middle-tier reps)
• Evaluate your current AI tools - Are they creating "laser pointer cat" behavior or getting reps to more conversations?

• Test BeBop.ai's's dossier approach, with a special focus on the objection handling feature that receives the most positive feedback.
• Use AI for discovery prep, not avoidance - Read dossiers in the minutes before scheduled meetings when memory retention is highest.
• Ask "why" to AI responses - Sam emphasizes this helps uncover hallucinations and improves reasoning.

• Shift from proprietary databases to "Internet as database" tools - Evaluate platforms that can digest broader data sources
• Implement AI that works as "companion, not a replacement" - Focus on tools that enhance human expertise rather than substitute for it
• Measure false negatives, not just false positives - Track opportunities missed, not just wrong prospects contacted

• Load your website into BebopAI - Sam says this simple step works really well for basic company understanding
• Document your go-to-market messaging - Feed it into AI tools for consistent, company-specific responses.
• Create objection handling libraries - The most requested feature, according to Sam's feedback.

• Recognize top salespeople as an innovation economy constraint - Chris's thesis: Elite sales performance limits how fast innovation spreads
• Budget for commission accelerators - Top performers using AI tools may exceed traditional quota expectations
• Rethink headcount-based scaling - Focus on amplifying existing top talent vs. adding middle-tier reps

• Try the "Internet as database" approach - Ask AI tools open-ended questions like "find me customers for [your company]"