Python Advanced AI Agent Tutorial - LangGraph, LangChain, Firecrawl & More!

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Thank you for showing us real AI agent, bro. I m bored to watch an N8n videos, which I like, but I see many security problems there, and I m trying to avoid it.

i have a recommendation for how to improve your lessons (i've watched many). This is particularly the case in the agent era: First: explain the project (you already do this) and any key technologies (you do this frquently). two: make a plan (as code comments) for the things that you think need to happen to accomplish this project three: build out those steps (including adding the imports) This way things are contextualized as to what/why we are doing what we are doing.

this was such an impressive build love how you combined langchain langgraph firecrawl and python to create a truly advanced multi step agent I’ve been working on similar setups and using genum ai has been super helpful for validating prompts tracking token usage and versioning updates to keep everything running smoothly

Amazing video! I followed along using VS Code. I had never heard of Firecrawl before, but I’m really impressed by its capabilities. Thanks a lot for your great work!

Very complete video for building a complex agentic flow with langgraph. Thanks a lot for your efforts

LFG!! Finally some Firecrawl content!

Glad you made a video. I was planning to do it on Saturday, sunday😊

Great video as always, sir! Your explanation skills are on another level I was wondering if you could please consider covering the OpenAI Agents SDK in one of your upcoming videos. Since it’s a Python-first and production-ready SDK, it might be easier to adopt—especially compared to LangChain and LangGraph. With your clear way of teaching, it would be incredibly helpful!

another very helpful video, thanks Tim!