#AI Agent
1119 related articles
What Is an AI Agent? A Complete Breakdown of Its Core Differences from Traditional AI
What is an AI Agent? This article breaks down its six core components, minimal execution loop, key differences from traditional AI, Chatbots, and Workflows, plus Human in the loop and engineering risks.
AI Agent Beginner's Guide: The Essential Differences Between Agents, Chatbots, and LLM Products
A beginner's guide to AI Agents: learn the key differences between Agents, chatbots, and LLM products, and explore the three core components and four core capabilities of intelligent agents.
AI Agent Builder: A Beginner's Guide to the Hottest New Role in LLM Deployment
AI Agent is the core of LLM deployment. Learn about the emerging AI Agent Builder role, the SME demand gap, low-code entry paths, and how to go from beginner to delivery.
AI Agent in Practice: Building a Memory-Enabled Intelligent Chat Assistant from Scratch
Step-by-step tutorial: build an AI chat agent with long-term memory using Python, DeepSeek API, and vanilla frontend — master Agent Memory from scratch.
Andrew Ng's Agentic AI Course Deep Dive: How to Build Truly Useful Agentic AI Applications
A deep dive into Andrew Ng's Agentic AI course: from cutting through the hype to mastering eval-driven development workflows for building truly useful agent applications.
DeepSeek Harness One-Month Retrospective: Highlights, Risks, and the Road Ahead
DeepSeek Harness one-month retrospective: Plugin ecosystem, Codex Kernel, supply chain risks, talent strategy, and the cloud Agent path ahead.
Authorizing MCP Tool Calls Without Surrendering Credentials: How Keydris Works
An open-source credential-free MCP server template lets AI agents call tools via single-use, action-scoped KIT tokens — no API keys or PATs stored. Compatible with Claude, Cursor, and more.
Tencent's Open-Source BSK in Action: Letting AI Take Over Your Already-Logged-In Browser
Tencent's open-source BSK (Browser Skill Kit) lets AI take over your real, logged-in Chrome via WebSocket. We break down the architecture, setup, and three key pitfalls from real-world testing.
Jev Hands-On Review: What Makes This Ultra-Fast Judgment AI Agent Stand Out?
Jev is a System 1-style AI Agent for fast structured judgment. This hands-on review tests customer service routing, negation detection, prompt injection resistance, and document extraction.
3-Month LLM Learning Roadmap: From Zero to Agent Development, Fully Broken Down
A 3-stage LLM learning roadmap for beginners: master prompts and APIs, build RAG-powered knowledge bases, then develop Agents with ReAct and multi-agent collaboration.
Career Switch to AI Agent Development from Scratch: A Three-Month Learning Roadmap
What does it take to break into AI Agent development from scratch? This article breaks down a 3-month roadmap covering Python, Prompt Engineering, RAG, vector retrieval, and Agent development.
Tool Hallucination: The Structural Blind Spot in LLM Agents and Closed-World Defense
New arXiv paper exposes tool hallucination in LLM agents: agents invoke nonexistent tools, bypassing all selection and gating defenses. Covers H1-H5 taxonomy, closed-world resolver architecture, MCP namespace collisions, and the HTB benchmark.
Do AI Agents Actually Understand Computer Architecture? AutoTuring Reveals the Gap Between 'Understanding' and 'Search'
The AutoTuring framework tests whether AI agents truly understand computer architecture by presenting the same design space as named knobs vs. anonymous variables — revealing a 12.3% performance gap and showing critic loops can substitute for domain knowledge.
After Breaking My Hand: How I Code Productively Without Typing
A 160 WPM developer broke his hand and rebuilt his workflow with voice input, AI Agents, and Computer Use — and became more productive than ever. Real-world tips inside.
Prompt → MCP → Agent → Skill: The AI Terminology Evolution Chain Explained in 5 Minutes
A clear guide to five core AI concepts — Prompt, MCP, Agent, Skill, and Cowork — and how they connect in a layered evolution chain from simple instructions to multi-agent teamwork.
Build a Local AI Agent with Python in 10 Minutes: Ollama + PydanticAI in Action
A hands-on guide to building a fully local AI agent with Python, Ollama, and PydanticAI in 10 minutes — covering model selection, tool functions, and conversation loops.
Chatting ≠ Getting Things Done: The Core Difference Between ChatGPT and AI Agents
ChatGPT answers questions; AI Agents get tasks done. Explore the core difference, the 5 components of an Agent, how it compares to traditional automation, and why high-risk actions need human approval.
WorkBuddy Beginner's Guide: A Complete Walkthrough for AI Office Automation
A beginner's guide to WorkBuddy: clarify how it differs from Codex, learn the four-element instruction method, configure workspaces and security, and complete your first Excel automation task.
Industrial-Grade AI Agent Development Guide: From Demo to a Four-Layer Architecture That Can Handle Real Business
A complete guide to building industrial-grade AI Agents: covers the four-layer architecture, Planner, Tools, Memory, the ReAct loop, vector databases, RAG, and enterprise stability.
Build an AI Agent with Memory from Scratch: Full-Stack with Python, Flask, and DeepSeek
Learn how to build an AI Agent with persistent memory using Python, Flask, and DeepSeek API. Covers selective storage, on-demand recall, and cross-session memory.