Most engineers have read a lot about AI and built almost nothing with it. That is not a character flaw. It is the default.
Stanford's AI Index puts numbers on the gap: a tiny fraction of households actually pay for AI tools, while nearly every company claims to be using it. Somebody is lying, and it is not the people quietly getting on with their jobs.
This episode is about closing that gap. Two levels of leverage, both available to you without permission from anyone.
Level one is team strategy. Skills, plugins, and shared config so your team stops solving the same problem fifteen different ways.
Level two is connecting these tools to things that actually matter at your company. Your data, your documentation, your internal systems, with a human still in the loop where it counts.
Plus why running a hackathon is the fastest way to find the problem worth solving, and what happened when I did it.
Want to build this stuff instead of reading about it? Parsity's AI engineering program: https://parsity.io/ai-dev
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