By skyforbes 
The problem is lack of consistency.
When teams work in silos, you get wildly different results. Some people excel. Others get frustrated and quit. Knowledge gets trapped in individual heads. Your organization ends up with fragmented capabilities that don't scale.
As John explained to Dr. J.D. Mosley-Matchett: "When everybody figures it out by themselves, some will do it well and some won't. Some will get frustrated and throw their hands up and essentially say this is stupid and others are going to excel."
His analogy really landed: "If everybody just teaches themselves, it's like you got a whole lot of kids loose on the playground and nobody really knows how to play baseball. They're just swinging balls and bats everywhere."
The alternative approach is to use unified frameworks that create a common foundation.
When organizations implement standardized methodologies, team members can look at each other's prompts, understand what they do, and adapt them for different departments. This is what Bizzuka calls Scalable Prompt Engineering.
The full conversation covers how frameworks like the AI Strategy Canvas create the shared language that turns individual experiments into organizational capability.
Watch the full episode here: https://youtu.be/vfq54JTcioE?feature=shared