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TOKENBuying software just got harder: AI changes what you can build, headless architecture changes what you should buy, and personal tools change how individuals work. Eric and Jon navigate all three.
John is live at Snowflake Summit, surrounded by hundreds of software vendors, and the scene sets the episode's central question: how do you evaluate software purchases when AI has changed so many of the underlying assumptions?
Eric and John work through this modern challenge with a timeless three-part framework: fit, cost, and risk. Each one looks different now. Fit is harder to assess when you could theoretically build custom software that matches exactly what you need. Cost requires honest accounting for maintenance and AI token spend that didn't exist before. And risk cuts in two directions: the risk of building something only one person can maintain, and the risk of buying from a startup that can't match enterprise-grade security. Eric shares two real examples from Vercel where building paid off: a custom AI customer support agent handling over 80% of tickets, and a lead agent that reduced a nine-person outbound SDR team to one or two people.
The episode then turns to architecture. Salesforce's move to headless is the signal that every serious enterprise provider is heading the same direction: separating the data layer from the UI so agents can interact with systems directly. Eric and John treat headless capability, or at least a credible roadmap toward it, as a new non-negotiable when evaluating vendors. They close on startup vs. enterprise: startups are more likely to have agentic interfaces already, but enterprise providers carry decades of security and domain knowledge that is genuinely hard to replace.
[upbeat music] Welcome back to the Token Intelligence Show. AI is changing the way we work, and Token Intelligence is here to help you understand the state-of-the-art, cut through all of the noise, and apply wisdom to become an effective leader in the age of AI. John, I hear a little bit of background noise, and that's because you're on-site at Snowflake Summit.
It's loud.
Uh, how has Snowflake Summit been this year?
Man, we were just talking about this before we hit record, and, um, it's a weird time. It's a weird time. I, I think
it's been probably as you would expect, a lot of announcements that, um, of AI further in the product, right? Um, and it's just a... It's really interesting to be here and see all of the vendors building these AI features into their product, and then see Snowflake from the stage building the same I- AI feature into their product. And it's just a wild time.
Yeah.
It's hard to, hard to describe.
Well, I-- that actually is a great segue into what we wanted to discuss today, which is how you buy software in this new world of AI. And for those listeners who have never been to Snowflake Summit, Snowflake's one of the, like, premier providers of data warehousing solutions, so think about things like analytics and, um, you know, data storage. Snowflake is, uh, one of the big providers there. They had the biggest tech IPO in history at the time they went public, uh, so a very important company. And when you walk around Snowflake Summit, it's a gigantic conference, and there's all sorts of different software vendors there, an entire... multiple ballrooms actually, um,
AI has transformed how we find information, and Trey Grainger literally wrote the book on how that happened. John asks him 7 questions about his career and AI.
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