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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# Tool Calling in LangChain, LangGraph, and MCP: # Three Layers, One Intelligent System
Now I have the freshest 2025–2026 data. Let me write the fully verified, trend-accurate, non-repetitive final version: Tool Calling in AI Agents: Lang…
How to Add Claim Verification to Your LangChain Agent in 5 Minutes
Your LangChain agent is wrong about 10% of the time. Not occasionally — consistently, confidently, and silently. The problem isn't the model. It's tha…
How to Add Tamper-Evident Audit Trails to Your LangChain Agent
Your LangChain agent calls tools. It searches the web, reads files, queries databases, calls APIs. But can you prove what it did? Logs capture what ha…
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…
RAG: Как собрать свой ретривер для особых случаев
С опытом у RAG-инженера накапливается солидный багаж эвристик и инструментов, которые в определенных задачах превосходят по качеству или скорости стан…
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…
Demystifying LCEL & LangChain
I love the holiday season. There's family around, sales and deal making is in high gear, and things generally slow down enough for me really dive into…
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…
SubAgents: Langchain Agents as Tools with Langfuse using AWS Bedrock Nova 🤖
AI agents are powerful, but they become truly effective when they’re broken down into smaller, specialized parts . This post introduces the idea of su…
Build an Autonomous Pokemon Card Trading Agent with AI Grading & Monte Carlo Pricing
Give your AI agent real-time market intelligence across 187K+ trading card products. Search, price, and grade cards -- all from Python. If you're buil…
Debugging LangChain Agents in Production: A Real-Time Monitoring Strategy That Actually Works
You know that feeling when your LangChain agent mysteriously stops responding to certain prompts, and you're left staring at logs wondering what went …
How to Add Browser Capabilities to a LangChain Agent
How to Add Browser Capabilities to a LangChain Agent LangChain agents can reason, plan, and call tools. What they can't do out of the box is see a web…