Ready to build your first self-improving AI agent? In this hands-on LangGraph tutorial, we'll implement everything we learned about Reflexion Architecture to create an intelligent comic book writer!
*Learn how to:*
- Build a complete AI agent system with LangGraph and LangChain
- Create specialized agents for planning, research, writing, and self-reflection
- Implement TypedDict for structured agent state management
- Design effective prompts for creative content generation
- Connect agents using LangGraph's workflow system
- Add self-improvement capabilities through reflection
Perfect for developers interested in AI agents, LLMs, LangChain, LangGraph, or creative AI applications. We'll walk through practical code examples to build an agent that can generate comic book scripts and improve them through self-reflection.
*Watch Part 1 for the theoretical foundation:*
???? https://www.youtube.com/watch?v=EWrpnIxPBb8
???? Code available on GitHub
⚡ Step-by-step implementation
???? Advanced LangGraph techniques
???? Real-world AI agent development
*Top resource to learn AI - Check out Datacamp:*
- *AI Fundamentals:*
???? https://datacamp.pxf.io/YRg3jr
- *Associate AI Engineer for Developers:*
???? https://datacamp.pxf.io/K0e32e
- *Developing AI Applications:*
???? https://datacamp.pxf.io/xLknAR
- *Developing Large Language Models:*
???? https://datacamp.pxf.io/QjyKVx
*Join this channel to get access to the perks:*
https://www.youtube.com/channel/UCs0yNnMKVLCN27tWmGvKYAw/join
-------------------------------------------------------------------------------------------------------------
*TIMESTAMPS:*
00:06 Intro
00:56 Introduction
02:42 Step 1: Define the Agent State
04:45 Step 2: Craft the Prompts
07:19 Step 3: Implement the Agents
09:51 Step 4: Construct the LangGraph
13:15 Step 5: Run the Agentic App
15:12 How to start a career in AI?
16:21 Final Thoughts
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⚙️ *Github Project for you to follow along in this tutorial:*
1. *Github Repository:*
???? https://tinyurl.com/3ur45mkx
⚙️ *Related YouTube Tutorials:*
1. *Revolutionary App Analyzes Sentiments Instantly - See How!*
???? https://tinyurl.com/ypskbdh4
-------------------------------------------------------------------------------------------------------------
⚡️ *Social Media:*
???? *Twitter:* https://x.com/atef_ataya
???? *Github:* https://github.com/atef-ataya
???? *Medium:* https://medium.com/@atef.ataya
⚙️ *Links:*
???? *OpenAI:* https://openai.com/
???? *LangChain:* https://www.langchain.com/
???? *LangGraph:* https://www.langchain.com/langgraph
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#chatgpt #langchain #aitutorial #aiprogramming #machinelearning #nlp #naturallanguageprocessing #deeplearning #langgraph #aiagents #aiagent #llm #generativeai #LangGraph #LangChain #AIAgent #OpenAI #Python #MachineLearning #AITutorial #LLM #AIDevelopment #ComicBooks
*Learn how to:*
- Build a complete AI agent system with LangGraph and LangChain
- Create specialized agents for planning, research, writing, and self-reflection
- Implement TypedDict for structured agent state management
- Design effective prompts for creative content generation
- Connect agents using LangGraph's workflow system
- Add self-improvement capabilities through reflection
Perfect for developers interested in AI agents, LLMs, LangChain, LangGraph, or creative AI applications. We'll walk through practical code examples to build an agent that can generate comic book scripts and improve them through self-reflection.
*Watch Part 1 for the theoretical foundation:*
???? https://www.youtube.com/watch?v=EWrpnIxPBb8
???? Code available on GitHub
⚡ Step-by-step implementation
???? Advanced LangGraph techniques
???? Real-world AI agent development
*Top resource to learn AI - Check out Datacamp:*
- *AI Fundamentals:*
???? https://datacamp.pxf.io/YRg3jr
- *Associate AI Engineer for Developers:*
???? https://datacamp.pxf.io/K0e32e
- *Developing AI Applications:*
???? https://datacamp.pxf.io/xLknAR
- *Developing Large Language Models:*
???? https://datacamp.pxf.io/QjyKVx
*Join this channel to get access to the perks:*
https://www.youtube.com/channel/UCs0yNnMKVLCN27tWmGvKYAw/join
-------------------------------------------------------------------------------------------------------------
*TIMESTAMPS:*
00:06 Intro
00:56 Introduction
02:42 Step 1: Define the Agent State
04:45 Step 2: Craft the Prompts
07:19 Step 3: Implement the Agents
09:51 Step 4: Construct the LangGraph
13:15 Step 5: Run the Agentic App
15:12 How to start a career in AI?
16:21 Final Thoughts
-------------------------------------------------------------------------------------------------------------
⚙️ *Github Project for you to follow along in this tutorial:*
1. *Github Repository:*
???? https://tinyurl.com/3ur45mkx
⚙️ *Related YouTube Tutorials:*
1. *Revolutionary App Analyzes Sentiments Instantly - See How!*
???? https://tinyurl.com/ypskbdh4
-------------------------------------------------------------------------------------------------------------
⚡️ *Social Media:*
???? *Twitter:* https://x.com/atef_ataya
???? *Github:* https://github.com/atef-ataya
???? *Medium:* https://medium.com/@atef.ataya
⚙️ *Links:*
???? *OpenAI:* https://openai.com/
???? *LangChain:* https://www.langchain.com/
???? *LangGraph:* https://www.langchain.com/langgraph
-------------------------------------------------------------------------------------------------------------
#chatgpt #langchain #aitutorial #aiprogramming #machinelearning #nlp #naturallanguageprocessing #deeplearning #langgraph #aiagents #aiagent #llm #generativeai #LangGraph #LangChain #AIAgent #OpenAI #Python #MachineLearning #AITutorial #LLM #AIDevelopment #ComicBooks
- Category
- AI prompts
- Tags
- llms, geneai, openai
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