Awesome piece. Thanks team, so many takeaways, but for me this hit hard "you can’t generalize what you don’t deeply understand" - it's why a slow and steady approach is the way to critical thinking. 🙏
Most firms claiming to be “AI-first” are really just “LLM-assistant-first”, and that’s a dangerous illusion.
This article nails it, but the uncomfortable truth is that practitioners like me spend more time re-educating senior executives than actually building. I took courses with Sara and Tyler (the BEST in the market) and I use their frameworks daily. However, in global organizations, progress is limited to using rigid LLMs and shallow agentic capabilities. Leaders mistake pilots and demos for transformation, while the real moat, EVALS and workflow intelligence, barely makes it past PowerPoint.
If we want to break the cycle, leadership must stop treating AI like a compliance checkbox and start treating it as a cultural reset, otherwise competitors will be encoding expertise at scale while they’re still running “safe” sandbox experiments.
The hopeful part? People like Sara and Tyler are playing the role that great thought leaders throughout history have always played, sparking cultural shifts by equipping a new generation of practitioners with knowledge and frameworks that ripple outward. That’s how we move from AI hype to lasting transformation.
This means the world! honored to have you be part of our community and so excited to see the impact you will bring to global orgs .. happy to be the intial catalyst that sparks this for you Saida
I can say firsthand, having taken a few of your courses and implemented these concepts, that this resonates deeply with what I see working with tech founders every day.
The "build for one person first" approach is critical. The founders getting real results start with their biggest pain point and make that exceptional before scaling. When we dig into how teams actually work (not how the handbook says they work), we find those pockets of invisible expertise that make all the difference.
And, your point about evaluation frameworks being the real moat is spot-on. What separates teams getting lasting value from those chasing demos is capturing and scaling the things that make their top performers exceptional.
Awesome piece. Thanks team, so many takeaways, but for me this hit hard "you can’t generalize what you don’t deeply understand" - it's why a slow and steady approach is the way to critical thinking. 🙏
happy this resonated for you, Sam!
Most firms claiming to be “AI-first” are really just “LLM-assistant-first”, and that’s a dangerous illusion.
This article nails it, but the uncomfortable truth is that practitioners like me spend more time re-educating senior executives than actually building. I took courses with Sara and Tyler (the BEST in the market) and I use their frameworks daily. However, in global organizations, progress is limited to using rigid LLMs and shallow agentic capabilities. Leaders mistake pilots and demos for transformation, while the real moat, EVALS and workflow intelligence, barely makes it past PowerPoint.
If we want to break the cycle, leadership must stop treating AI like a compliance checkbox and start treating it as a cultural reset, otherwise competitors will be encoding expertise at scale while they’re still running “safe” sandbox experiments.
The hopeful part? People like Sara and Tyler are playing the role that great thought leaders throughout history have always played, sparking cultural shifts by equipping a new generation of practitioners with knowledge and frameworks that ripple outward. That’s how we move from AI hype to lasting transformation.
This means the world! honored to have you be part of our community and so excited to see the impact you will bring to global orgs .. happy to be the intial catalyst that sparks this for you Saida
I can say firsthand, having taken a few of your courses and implemented these concepts, that this resonates deeply with what I see working with tech founders every day.
The "build for one person first" approach is critical. The founders getting real results start with their biggest pain point and make that exceptional before scaling. When we dig into how teams actually work (not how the handbook says they work), we find those pockets of invisible expertise that make all the difference.
And, your point about evaluation frameworks being the real moat is spot-on. What separates teams getting lasting value from those chasing demos is capturing and scaling the things that make their top performers exceptional.
Really appreciate the practical breakdown here.
Thank you so much Dawn! Love seeing you crushing it!
This is fascinating!
Happy you found it to be Michael!
Such a great beginner playbook, super complete and practical
Thank you Daria, that was the intention! i really enjoyed writing it so i'm glad it resonated