SaaStr 844: The Top 5 Issues Managing Multiple AI Agents in Production with SaaStr's CEO and Chief AI Officer
episode
The Official SaaStr Podcast: SaaS | Founders | Investors
55 min
2 speakers
8 chapters
transcribed 18 days ago
Transcript
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What is the overall challenge of managing dozens of AI agents in production?
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. How like how do you scale past this N equals one? And I don't think there's a good answer for this today. There is no like crazy good agent that can manage all the other agents on its own today. There's that doesn't exist, right? I think there will be, but there's not one today. And so I think even with all the help we get, it's this is just a huge issue that I think the market has not realized yet.
Yeah, I mean I mean obviously we're extreme and tiny. I mean, if you left for some reason we would we would have to cease using our agents. There's there's no there's no there's no plan B. We're just all learning that you need some sort of chief agent officer, right? Whatever you want to call them, someone that can manage all of your agents that I think needs to be a bit of a nerd, a tech nerd, ideally a bit of a marketing nerd, because a lot of these products are if you can manage a complex marketing automation tool, you can probably manage most of the products that we use. You can hack the rest. But you know, thinking through it, I mean this is this is Captain Obvious, but I think if you actually find the person that can deploy these agents for real that actually can be success.
Just like a lot of these functions, but immediately they should recruit you need two, recruit somebody else on their team and and divide and conquer and make sure you have two.
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How does the “Context Switching Tax” affect daily operations when you have 20+ agents?
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Hello everybody, excited to be here with all of you and your agents here today. We thought we would do a fun one since we have um twenty actually almost thirty, I think when I counted it this morning. agents and vibe coded tools and apps and productions. We wanted to talk about our top five issues. Once you start to manage these multiple agents in production, what does that really mean? What are maybe the nuances folks haven't thought of if you've only deployed like one or two agents? Kind of like what breaks when you have multiple agents at a high volume and high scale. Okay. As always, I always like to have this as our first slide because folks go back to it and reference it. So for any of the agents and tools we'll reference today, you can go to Sasser.ai slash agents.
That's where we put our agent directory, which have a few more we need to add to it. But this is our depository of all the agents and some community agents that we use across the board. So a lot of the things we'll talk about today are linked there if you're looking for the links. So As always, keep that in mind. Okay, top five issues. I'll summarize them here and then I'll I'll go into them in depth. I think there's a lot we've learned in like the now nine slash ten months of managing multiple AI agents in production between Jason and myself.
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Chapters
8 chapters
1
What is the overall challenge of managing dozens of AI agents in production?
0:01–2:26
2
How does the “Context Switching Tax” affect daily operations when you have 20+ agents?
2:26–7:15
3
Why does adding a new AI agent create a two‑week blackout period?
7:15–14:04
4
What is the AI Agent Succession Planning crisis and how can you mitigate a single point of failure?
14:04–17:04
5
How do agents act as “Truth‑Tellers” and why can their feedback feel demoralizing?
17:04–20:48
6
What compliance and security drift issues arise when agents are updated weekly?
20:48–24:20
7
How does managing instant, 24/7 AI agents erode patience with human teammates?
24:20–27:59
8
What practical takeaways and next steps do the hosts recommend for scaling AI agents?
27:59–55:48
Speakers
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