The things AI agents still can’t do
Blog post from Nylas
AI agents are advancing in reasoning capabilities, sparking increased interest in agentic AI systems capable of complex tasks like drafting emails and planning workflows. However, the primary challenge lies in execution rather than intelligence, as these agents struggle to interact effectively with real-world systems such as inboxes, calendars, and identity frameworks that are essential for completing workflows. While AI can reason and suggest actions, it often falls short in actual task execution due to integration issues with live communication systems. This limitation becomes apparent in production environments where agents need to operate within actual software systems to go beyond merely suggesting actions and to perform them autonomously. The future of agentic AI will be shaped by enabling agents to act within the infrastructure where work occurs, requiring robust integration with real communication environments to transition from reasoning to execution.
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