There’s been a lot of buzz around “agentic AI”, a term that refers to artificial intelligence capable of:
- Setting and pursuing goals
- Using tools and APIs
- Making decisions across various steps
- Learning and reflecting over time
However, the reality behind many flashy demos is quite different. As noted, “Without structured context management, agentic AI is just improvisation.” A system that becomes confused or forgets its objective in the middle of a task is not truly agentic; it resembles a goldfish with ambition more than a competent agent.
“A smart-sounding agent that forgets its objective mid-task isn’t an agent.”
Understanding the limitations of agentic AI is crucial for developers and users alike. Dive deeper to explore what it takes to make AI truly autonomous and capable of meaningful action.
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