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title: Introduction to Agentic Systems | daily.dev
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction to Agentic Systems

**[Gaurav Sen](https://daily.dev/sources/gkcs)** · 59 min read · 0 upvotes · 0 comments

## Summary

An introductory session on agentic AI systems covering what agents are, why they're needed beyond simple LLM calls, and how they work. Key topics include the agentic loop, tool calling (with code examples in Python), the ReAct design pattern, MCP servers as a standardized way to expose tools, agent memory, guardrails via system prompts, and handling tool call failures. Live coding demos show a weather/currency/hotel booking agent built with OpenAI. The session ends with a pitch for a paid AI engineering cohort.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=cAhmvlDWj18>

---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#mcp](https://daily.dev/tags/mcp)

[View this post on daily.dev](https://daily.dev/posts/introduction-to-agentic-systems-jjtheygmu)

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