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The Well-Equipped Carpenters

Two carpenters walk into a workshop...

Carpenter 1
Hey, have you tried the new DeWalt cordless hammer? The battery life is incredible!"

Carpenter 2
I prefer the Milwaukee one - the grip feels more premium and it has better Bluetooth connectivity.

Carpenter 1
I switched from Ryobi to Makita for their automated nail detection system. Game changer!

Carpenter 2
That's nothing - I just got this smart level that syncs with my phone and uploads measurements to the cloud.

Carpenter 1
I'm thinking of investing in that new AI-powered saw. It supposedly has machine learning to predict wood grain patterns.

Carpenter 2
Cool, but you should really check out this subscription-based screwdriver service. They send you new bits every month and the app tracks your screwing metrics!

Conclusion

Sound absurd? Yet this is exactly how many of us discuss AI tools today. We debate frameworks, compare platforms, and analyze features - often without mentioning what we're actually building.

Our AI discussions should start with problems, not platforms.

Next time we find ourselves in a debate about AI frameworks and platforms, let's ask ourselves: 'Am I being the carpenter with the cloud-connected screwdriver?'

Start with what you're building. The tools will follow.

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