From Zero to AI Agent: LLMs, Tools, Context, and MCP Explained Simply

What is an AI agent, really?

In this plain-English field guide, Jeff from OpenNash explains how large language models work, what context means, why tools matter, and how a simple loop turns an LLM into an agent.

You will learn:
- what an LLM actually does
- what tokens and context are
- why the model is a stateless function
- the difference between a workflow and an agent
- how tools, MCP, CLI, and the agent loop fit together
- how to think about building your first useful agent

Need help building AI agents or want an AI workshop for your team? OpenNash helps teams learn AI agents and build practical agent workflows.

Reach out to us at hello@opennash.com

Видео From Zero to AI Agent: LLMs, Tools, Context, and MCP Explained Simply канала OpenNash