Short transcript from a YouTube video explaining what an AI agent is: a system centered on an LLM connected to tools (e.g., RAG, APIs) that, given a goal/outcome and access to tools/data, can autonomously determine steps to accomplish tasks such as writing software, creating images, checking email, or customer service.
An agent, in the end is we see it as a combination of a set of things, a set of one or more frontier models or models underneath the hood. You have to have an LLM. That's the heart of an agent. An agent is connected to tools, set of tools that can use. And that's actually been one of the biggest advances in Agentix systems is the ability for these LLMs to use tools to data, often like a RAG system or through mcp, to other things. So an agent is a system with an LLM at its heart that then you interact with to do anything from write software, to create images, to check your email, to do customer service. The key part is an agent is given an outcome. It has access to tools, and given a goal and the tools and data it has access to, it's able to autonomously figure out what it needs to do to accomplish its task.
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