AI is changing how we work. For some, that means fear. For others, it means reinvention.

In this episode, Kyle James sits down with Riley Gerszewski, a longtime product design leader who used AI tools to go from designing products to actually building and shipping a full iOS app himself.

Not a prototype. Not a concept. A real healthcare app approved by Apple.

Riley shares what it felt like to be part of a reduction in force, how AI accelerated his learning curve, and how he transitioned from specialist to generalist in real time. We talk about identity shifts, go-to-market uncertainty, ethical guardrails, and what it means to build responsibly in the healthcare space.

The app he built, HerDiabetes, is designed specifically for women living with diabetes, a group of over 13 million in the United States alone, and addresses an underserved intersection of glucose data and hormonal cycle tracking.

This conversation is not about hype. It’s about figuring it out as you go.

If you’re a product leader, GTM professional, designer, or anyone trying to understand what AI means for your career, this episode is for you.

🔗 HerDiabetes Website: https://www.herdiabetes.com/

🔗 Connect with Riley on LinkedIn: https://www.linkedin.com/in/rileygerszewski/

If this episode resonated with you, consider subscribing, leaving a review, or sharing it with someone navigating their own AI reinvention.

We’re all working through this shift together.

Account based marketing was never broken. Execution was.

In this episode, Nick Bennett joins PROMPTED to unpack why focused ABM is finally working in 2026 and why AI is the real unlock. After years as an in house B2B marketer and now advising teams directly, Nick has seen firsthand what changed and what stayed the same.

The LinkedIn post that drove this discussion - https://www.linkedin.com/posts/nickbennett1_after-working-with-35-b2b-brands-in-3-years-activity-7408892892209008641-mhbl/

We dig into why most teams failed at ABM, how AI helps validate ICPs instead of guessing, how buying groups and signals are identified earlier, and how personalization finally scales without turning into noise. Nick also shares real examples of AI powered workflows booking meetings today, where humans must stay in the loop, and where automation creates false confidence.

If you have tried ABM before and walked away skeptical, or you are curious how AI actually fits into modern go to market execution, this episode is for you.

👇 Topics covered

1. Why ABM failed before
2. What “focused ABM” really means
3. How AI validates fit and disqualifies faster
4. AI powered personalization at scale
5. What should never be automated
6. Where ABM and AI go next in 2026

Connect with Nick Bennett - https://www.linkedin.com/in/nickbennett1/

Subscribe for more conversations on AI, GTM strategy, and real world execution.

Moltbook. MoltBot. OpenClaw.

A “Reddit for AI agents.” Bots talking to bots. A massive security breach. Headlines hinting at AGI and the singularity.

If you have been seeing this everywhere and wondering what actually happened and whether you need to care, this episode is for you.

In this conversation, Kyle James sits down with returning guest John Marcus III, someone he trusts to cut through hype and explain what is real, what is mostly nonsense, and what actually matters for go-to-market professionals.

We break down:

1. What Moltbook and OpenClaw really are, in plain language
2. Why this moment felt new even though the underlying tech is not
3. The real security and governance risks behind the headlines
4. Why AI orchestration matters more than chasing tools
5. What GTM professionals should do now, later, or safely ignore

This is not a demo and not hype. It is a guided walkthrough designed to help you shut the curiosity door, get back to work, and be better prepared for what is coming next.

Links & Resources

1. OpenClaw (GitHub): https://github.com/openclaw
2. Fractional Ventures: https://fractional.ventures
3. Connect with John Marcus III on LinkedIn: https://www.linkedin.com/in/jwmarcus/