The Exhaustion Nobody Talks About When You're Good at AI

If you've been using AI seriously for a while and still feel like you're falling behind — this episode is specifically for that.Andrew and Jonathan both came into this recording tired. Not struggling-with-the-tools tired. Keeping-up-with-the-pace tired. And the conversation they had is one of the more honest things either of them has put on record about what it actually feels like to be an active AI practitioner right now.Andrew traces what he calls the satisfaction plateau: once your workflow genuinely works — once you can get AI to do what you need it to do and recover when it doesn't — the bar for switching tools rises, but the anxiety of not switching stays the same. He explains why that gap is the real source of exhaustion, and why the answer isn't to chase every new release but to ask a harder question: is this better enough to be worth what it would cost me to move?They also get into what "portability" actually means when you've built a real stack (it's an architecture problem, not a settings toggle), why agents should be thought of as the disposable layer while MCPs, skills, and durable tooling are what you keep, and what the human-in-the-loop is actually for inside enterprise AI — which turns out to be less about safety than most people assume.The episode ends with both hosts exhausted — and both saying the last few days have been some of the best AI days they've had. Those two things turn out to coexist pretty naturally.New episodes every week — full video on YouTube. Hosted by Jonathan Spanos and Andrew Signore.