JevMade field notes / Video guide

What is Jev AI Model ? Build a Jev-Powered Agentic Workflow | Jev + LangChain + LangGraph

This Hindi/Hinglish walkthrough builds a Python movie assistant: Jev chooses a route, LangGraph connects the steps, and a Groq-hosted language model supplies prose and extracts movie details.

Original by TechSimPlus LearningsAgent workflowsIntermediate102 min 46 sec Published 1 October 2026

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What you’ll find in the video

Give Jev a fixed set of routes: list movies, book, cancel or help. Use ordinary code to choose the corresponding step.
Keep the language model for writing replies and extracting movie names and seat counts, rather than asking Jev to generate them.
The example sends answers below a 0.7 confidence cutoff to help. Test any cutoff on your own cases before using it to control real actions.

Worth knowing

Dummy movie data only. Booking and cancellation return messages; they do not reserve seats, cancel a stored booking or move money. The confidence cutoff is an unvalidated example. Automatic captions contain errors in model and framework names.

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