SaaStr 840: From 1 Agent to 20+: The Reality of Managing Multiple AI Agents Across Your GTM with SaaStr's CEO and CAIO
episode
The Official SaaStr Podcast: SaaS | Founders | Investors
1h 3m
2 speakers
2 chapters
transcribed 14 days ago
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What motivated SaaStr to start deploying AI agents across their GTM?
Welcome to the official Saster Podcast, where you can hear some of the best Saster speakers. This is where the cloud meets. Up today on the Saster Podcast. If you don't know your FTE, if you don't know the answers to these questions. And you're spending any material amount of money on an agent, you're wasting your energy. And so it will be interesting to see where it goes this year. A lot of the agents we use um are pushing down market to be more self-service. So far, that doesn't work. So far, I will say for the most part, agents that require deep training cannot be self-trained. It it will come, agents are getting so much better. That's Frontier One. But wait and see, be skeptical. If you buy a cheap tool that says it's self-trained, make sure it works and you know the time.
If you buy a more complicated tool like we're talking about, Just talk with someone senior enough on deployment, not again of someone trying to sell you something that doesn't know. and be honest about what it's gonna take. Otherwise it's like going to the doctor and getting a prescription for medicine and never taking it. It's not gonna work. It's literally like that for an agent.
Case Asker, imagine having agents for every support tab. One that triages tickets, another that catches duplicates, one that spots churn risk. That'd be pretty amazing, right? Happy Fox just made it real with Autopilot. These pre-built AI agents deploy in about 60 seconds and run for as low as two cents per successful action. All of it sits inside the Happy Fox Omnichannel AI First, support stack, chatbot, copilot, and autopilot. pilot working as one. Check them out at happyfox.com slash faster.
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All right, cool. So, um, yeah, to kick things off for today, we wanted to talk a little bit about where we're at today with all of our agents. And maybe more importantly, now that some of you have deployed at least one agent and are looking at doing multiple agents kind of in the path that we've been, how what does that really take in reality and fruition to do this multi-agent management? What does that all mean? So just for quick context, I think a lot of you have seen this now, but just as a refresher, we have about, you know, 20 plus agents now. We've vibe coded about 12 apps. They've been used, you know. almost a million times, which is kind of crazy. I think we'll probably cross a million marks before the next AI day.
Um and so that's a lot of usage, right? And so a lot of the things you'll see us talking about today, we also have on Saster dot AI slash agents. So you can always go there at any time and see like, you know, some of either the third party tools or the in-house ones that we've built and kind of play around with them there. Okay. Um, so what have we learned now that we're about, you know, almost depending on how you've been on either eight months or a year into this journey? And yeah, I was looking up like when we when you joined D Delphi, Jason. I think it was like December of twenty-four, but I didn't get on it until like February, March time frame. So depending on where you count, like fully deployed though, I say eight months.
was multiple agents in tow. So we started with Delphi. If you guys haven't tried equal to Safter.com, it's the JSON bubble there. You can talk to his clones. So we added that.
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Chapters
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2 identifiedMore from The Official SaaStr Podcast: SaaS | Founders | Investors
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