Revolutionizing AI Agents New Flexible, Natural Language

What this short covers

Jesse Zhang, a repeat founder, shares insights on securing Series A funding for his latest venture, Decagon, from top-tier investors like Andreessen Horowitz. He discusses shifting from intuition-driven building to prioritizing customer feedback and validating market problems before scaling.

Transcript

Well, one is of course you have generative models which make the experience better. But um I think what we saw in the industry is that generally the the way that people build these agents has always been, you know, using old neuro techniques which is it's a very engineering heavy build. It's kind of like the the classic Salesforce playbook where um they're they're really just trying to lock you into their their language and so on. And so um yeah we came at it with a different angle and we have we have a system that we call AOPs that are uh you know agent operating procedures that are a lot more flexible and a lot more sort of natural language based and make it easier for the large teams we work with to to build and you know wrangle very complex use cases because there's so much for them to do and it really empowers their business users to go and do that and so they're able to move much

faster and uh Yeah.

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