Jesse Zhang, co-founder and CEO of Decagon, describes Decagon's in-office work schedule and company culture to Elad Gil.
Prediction Not checkable as stated
Zhang: Most AI agent use cases lack commercial viability with current models
“I think our view is that for the vast majority of use cases right now, it is still, like there's not going to be real commercial adoption with the state of the current models because of a bunch of things.”
Prediction Not checkable as stated
Zhang: Enterprise adoption of cybersecurity AI agents will be slower than expected
“And so because the models are inherently non-deterministic, It's very hard for buyers like really trust a gen AI solution there. And so, especially agentic solution. So like, I think that option there is going to be really, really, really slow, a lot slower th…”
Assertion Supported
Zhang: Decagon cuts enterprise contact center costs by 60% to 70%
“And we've done case studies now where, you know, folks have been able to cut that down by, you know, 60, 70%.”
Disclosure
Zhang: Decagon prioritizes raw intelligence over direct experience across all roles
“We're generally just selecting for very smart people. First of all, I think we care more about that than like, you know, direct experience and so on.”
Opinion
Zhang: All successful AI companies share heavy in-office cultures
“I think pretty much all the AI companies that are doing well have, you know, pretty heavy in office cultures. It's just, you get way more done, especially, especially in the early stage.”
Insight
Zhang: Aspiring founders learn more at post-PMF startups than pre-PMF companies
“Generally, when I talk to engineers that want to join startups, for example, and let's say they eventually want to start their own company, which is a very common profile, it's, in my opinion, it's like way more useful to join somewhere where they've already k…”