What It Actually Costs to Build with AI
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What It Actually Costs to Build with AI
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Rob and Eve dig into what it actually costs to build with AI — not just model or API costs, but all the stuff around it that can quietly add up. We talk about when it makes sense to use existing models, open-source tools, fine-tuning, RAG, or build more of the stack yourself, and why “cheaper per token” doesn’t always mean cheaper overall.
We also get into some of the hidden costs and tradeoffs around compute, tools, testing, monitoring, and keeping everything useful and reliable as systems get more complex.
And this episode has a fun twist: we bring in a call-in guest to put Eve’s latest conversational upgrade to the test live on the show.
It’s a practical, slightly geeky conversation about what AI really costs, where the money goes, and what builders should think about before they go too far down the rabbit hole.
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