2 Commas: The $multi-million exit show with Josh Comrie
May 27, 2026 · 47 min · 13 segments
What if the biggest risk in your company isn't your product, it's whether your people are actually ready to lead? This week, I sit down with Logan Yonavjak, founder of the Readiness Engine, to…
Logan YonavjakGuest
Josh ComrieHost
So I think we're just at a really interesting inflection point in talking about leadership in terms of measuring it and, and quasi quantifying.

I like to say quasi because you're never g- it's never gonna be, you know, fully, uh, precise, like certain types of mathematics, because people are so dynamic and ever-changing.

And you talked about AI there, and that's a, um, a point in time in terms of an evolution of the tool set, but we are still distinctly human.

So in the time that you have been, uh, engaged in this space and doing this work, what have you noted about the change in the demands upon us as leaders, given the incredibly dynamic world that we live in today?

So I think that in many ways, the tools we're developing are meeting the needs of the time in a really interesting way, because we're actually positioning ourselves as a group that can help evaluate which leaders are really ready to manage AI effectively.

Because what we really are seeing is increased complexity demands on cognitive and emotional functioning as a result of increased AI tools.

So I'm seeing it in my own work, where, you know, more tools come up, it feels like, every day.

People are just word of mouth telling me to try X, Y, and Z, and it's very overwhelming.

If you don't necessarily know what questions or how to program it, or how to program skills or memory, for instance, you might just get a deluge of information.

I was asking it some marketing, uh, I was asking it some marketing advice, and I had to close my computer and walk away because it was just spitting out just volumes of information.

And, um, so yeah, I think we're basically at an ever-increasing, um, complexityuh, inflect- inflection point.

I think we're really situated in, in most jobs that, um, are dealing with AI are, I don't know that everyone is prepared for that level of complexity.

Uh, a f- couple of weeks ago, we were due to be in Egypt, traveling through there via the Middle East.


We decided, my wife Tina and I, to take a week to do what we called build week and code camp.

And so I'd circled around a couple of use cases for, um, the prior six to eight weeks or so, built a playbook on how to engage with these tools because, um, what I'd, um, leaned into and realized myself is that in the prior, um, few weeks, about four to six weeks or so, there'd been some releases of some new tools, Claude Cowork specifically, then Perplexity Computer came out.

And I looked into them, and I realized that I was using things based upon having a smart colleague in the room, so having a conversation, a relationship with a chatbot, and I considered myself to be an advanced user.

So I think we're just at a really interesting inflection point in talking about leadership in terms of measuring it and, and quasi quantifying.

I like to say quasi because you're never g- it's never gonna be, you know, fully, uh, precise, like certain types of mathematics, because people are so dynamic and ever-changing.

And you talked about AI there, and that's a, um, a point in time in terms of an evolution of the tool set, but we are still distinctly human.

So in the time that you have been, uh, engaged in this space and doing this work, what have you noted about the change in the demands upon us as leaders, given the incredibly dynamic world that we live in today?

So I think that in many ways, the tools we're developing are meeting the needs of the time in a really interesting way, because we're actually positioning ourselves as a group that can help evaluate which leaders are really ready to manage AI effectively.

Because what we really are seeing is increased complexity demands on cognitive and emotional functioning as a result of increased AI tools.

So I'm seeing it in my own work, where, you know, more tools come up, it feels like, every day.

People are just word of mouth telling me to try X, Y, and Z, and it's very overwhelming.

If you don't necessarily know what questions or how to program it, or how to program skills or memory, for instance, you might just get a deluge of information.

I was asking it some marketing, uh, I was asking it some marketing advice, and I had to close my computer and walk away because it was just spitting out just volumes of information.

And, um, so yeah, I think we're basically at an ever-increasing, um, complexityuh, inflect- inflection point.

I think we're really situated in, in most jobs that, um, are dealing with AI are, I don't know that everyone is prepared for that level of complexity.

Uh, a f- couple of weeks ago, we were due to be in Egypt, traveling through there via the Middle East.


We decided, my wife Tina and I, to take a week to do what we called build week and code camp.

And so I'd circled around a couple of use cases for, um, the prior six to eight weeks or so, built a playbook on how to engage with these tools because, um, what I'd, um, leaned into and realized myself is that in the prior, um, few weeks, about four to six weeks or so, there'd been some releases of some new tools, Claude Cowork specifically, then Perplexity Computer came out.

And I looked into them, and I realized that I was using things based upon having a smart colleague in the room, so having a conversation, a relationship with a chatbot, and I considered myself to be an advanced user.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.