Building AI Agents with LangGraph: From Fundamentals to Production
Building AI Agents with LangGraph: From Fundamentals to Production A comprehensive guide to building reliable, stateful AI agents using LangGraph —…
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How We Stopped AI Agents from Hallucinating Tool Schemas & Wasting API Credits
If you’re building autonomous AI agents using frameworks like LangChain, CrewAI, AutoGen, or raw function calling, you’ve likely encountered this sc…
I Rebuilt My RAG Pipeline Without LangChain — What Got Better and What Got Worse
The first time I seriously doubted the framework was not because the model hallucinated. It was because the answer looked plausible, contained a cit…
Building Resilient AI Agents: Zero-CSS Web Scraping and Real-Time Threat Auditing
Here is the one full block including frontmatter (title and tags) so you can copy everything in a single click and paste it directly into the De Whe…
How to Evaluate Voice Agents with LangSmith | Focused
A voice agent finishing a call doesn't mean it worked. A scheduling agent can call the right tools in the right order and still book the wrong time,…
LCEL vs. Legacy Chains: From Recipe Confusion to Clear Pipelines 🚀
TL;DR: Legacy Chains are the old way—rigid, class-heavy, and frustrating. LCEL is the new standard—visual, modular, and future-proof. Always choose…
AI Agents in Finance Live or Die by Runtime Receipts | Focused Labs
The board wants to see the bottom line of the RFP. Show the receipt. Financial services boards want to know what they get from the spend on AI in La…
Why Prompt Engineering Isn't Enough for Production AI Agents
TL;DR: Autonomous Agents frequently get trapped in execution loops, burning through API tokens and compute. Prompt engineering can't guarantee execu…
Design Trade-offs: Why Hermes (and Many Popular Agents) Don't Use LangChain / LangGraph
Note: The Hermes repo contains no explicit statement saying "we don't use LangChain because…". This article works on two levels: the industry-wide c…
How to Build an AI Resume Builder with LangChain and Node.js
A few months back, my friend Marcus was applying for a senior backend role at a fintech company. He had five years of solid experience — distributed…
LangChain Interrupt: Agents Moved Into the Runtime | Focused
Interrupt felt different this year. Less model worship. More runtime. Instead of another round of model worship, the more useful conversations at th…
RAG Series (17): Agentic RAG — Giving the Agent Control Over Retrieval
The Silent Failure of Pipeline RAG Every article in this series has been trying to answer the same question: how do we make retrieval better? Better…
cerone-openclaw-plugin : check OpenClaw tool calls before they run
I’ve been working on cerone-openclaw-plugin, a native OpenClaw plugin that checks tool calls with Cerone before execution. (Cerone is an AI agent ru…
AI Agent Frameworks Compared: LangChain vs Custom vs Agentic Systems
AI agents are rapidly moving from experimental prototypes to production infrastructure. Developers are no longer just building chatbots. They’re bui…
Deep Dive: LangChain 0.3 LCEL and How It Optimizes Claude 3.7 Calls
If you’ve ever watched a Claude 3.7 API call sit in a pending state for 2.1 seconds while your LangChain pipeline serializes prompts, parses outputs…
Madrigal's "Failures as Eval Suites" Pattern and How Flow Already Provides the Infrastructure
A blog post on LangChain's site about how Madrigal Pharmaceuticals built their multi-agent AI platform caught my attention this week. Not because of…