AI :: Agent :: About :: How I Wish Someone Explained AI Agents to me
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This explanation is part of a broader educational series, and viewers are invited to continue learning through a free 8-hour course offered on the creator's channel.
This video is a tutorial aimed to educate viewers on the core concept of AI agents—what they are, what powers them, and how they differ from traditional AI tools like ChatGPT. It provides a simplified breakdown of large language models (LLMs), their limitations, and how pairing them with tools leads to powerful use cases through AI workflows and agents.
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LLMs like ChatGPT are limited on their own: They can generate text but can't take direct action (e.g., sending emails).
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The real power of LLMs emerges when connected to tools: Tools are platforms like Gmail, CRMs, databases, or any system that allows action.
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Two outcomes when combining LLMs with tools:
- AI Workflow: A linear series of tool interactions (e.g., new CRM row → research via Perplexity → use LLM).
- AI Agent: A more autonomous system that can make decisions and take actions across various tools.
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Key takeaway: AI agents are essentially LLMs augmented with tool access, making them capable of completing tasks autonomously rather than just assisting with text generation.