37 AI Agents and a New Kind of Job: How One Manager Transformed His Work

Ever wondered if AI could take over your mundane tasks? That's exactly what Andy Cabasso has done with his 37 AI agents. From scheduling to analytics, these agents handle it all. But what does this mean for the future of work, especially in sectors like crypto?

The Raw Data

Andy Cabasso, growth operations manager at productivity platform ClickUp, oversees 37 AI agents. These agents execute tasks ranging from scheduling and analytics to meeting follow-ups. Out of these, Cabasso actively uses 15 to 20 agents daily. The rest are employed on an as-needed basis, indicating a blend of routine automation and dynamic task management.

Initially, Cabasso's focus was on reducing personal inefficiencies. His first agent automated scheduling by analyzing his calendar and tasks. Now, he has agents pulling analytics from outbound platforms, providing insights and executing changes to improve campaign performance. These agents have transformed his daily operations at ClickUp.

Context and Historical Perspective

Let's look at the bigger picture. Automation and AI are reshaping job roles across industries. What started as a small-scale experiment has turned into a complete management strategy. Cabasso’s orchestration of AI agents highlights a shift towards more strategic and less administrative roles. For the crypto industry, known for its fast-paced and tech-savvy environment, this could mean a similar transition isn't far off.

Remember the days when managing a full load of administrative tasks consumed half your day? That's slowly becoming obsolete. Companies are moving towards delegating routine tasks to AI, freeing human resources for strategic decisions. The crypto world, with its complex and data-driven nature, stands to gain immensely from such automation.

Insider Insights

According to Cabasso, each AI agent is personalized with fictional personas to enhance task execution and reduce monotony. Some agents channel TV or movie characters to add personality, while others remain strictly business-focused. The goal is efficiency without losing engagement. For instance, his "Atomic Habits” agent encourages daily routines with a motivational twist.

However, not all personality experiments have succeeded. Mimicking Yoda from Star Wars resulted in awkward phrasing that over time, became more of a hindrance than a help. This trial-and-error approach highlights the evolving nature of AI integration in workplaces. As Cabasso iterates on agent personalities, he's careful to ensure they don't disrupt key functionalities, especially in analytics.

What's Next?

So what does the future hold? Expect more layers of agent orchestration and increased AI autonomy in niche sectors. For instance, as crypto markets become more data-centric, automated agents could revolutionize how traders interact with data. Imagine an AI that not only pulls market trends but also advises based on real-time analysis.

But here's the catch: will humans adapt to these changes or resist? The transition may not be smooth. As Cabasso's role transforms, so too must the roles in industries like crypto. The key is to balance automation with strategic human oversight. This shift isn't just about efficiency but about redefining job roles to align with new technological capabilities.

The transformation in Cabasso's work is a microcosm of a larger trend across industries. As more sectors, including crypto, adopt AI-driven workflows, the winners will be those who embrace the change and adapt their roles to tap into the potential of AI.