Introducing CareerGPT – A Multi-Agent AI Career Assistant
Today, I’m sharing my recent project: CareerGPT. CareerGPT is built using LangGraph and LangChain. The core idea behind this project is to design a mu…
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Productionizing LLMs in Go: Distributed Budgeting, LangChain, and ROI Tracking
From "Hello World" to Production: Stop the LLM Bill Shock for Good A few weeks ago, we introduced Otellix —the Go-native observability SDK designed to…
Building a Voice-Controlled AI Agent with Groq, LangGraph, and Streamlit
A detailed walkthrough of architecture, safety constraints, and lessons learned. Most assistants stop at answering in a chat box. I wanted something c…
Small Steps Towards Effective Prompt Engineering
This article will introduce the concept of prompt engineering, and more specifically, programmatic prompt engineering, and how it relates to building …
# LangChain vs LangGraph: Which Agent Framework Actually # Delivers in Production?
Table of Contents What Each Framework Actually Is The Core Architectural Difference How LangChain Automates Real Workflows How LangGraph Automates Rea…
Stop Writing JSON Schemas by Hand: A Better Way to Build Claude Agent Tools
Stop Writing JSON Schemas by Hand: A Better Way to Build Claude Agent Tools If you’ve been building AI Agents or working with Anthropic's Claude to im…