#AI Agent
1061 related articles
Claude Duet Takes the Initiative: AI Agents Start Watching Things for You
Baiya AI Daily: Claude Duet's Opus 5.5 brings proactive reminders but background polling eats subscription quota; Tipo caching extended to 12 hours, OpenAI discloses GPT 5.6 finding PHP flaws and new model routing rules, Walmart uses an agent gateway to put brakes on AI orders.
Claude Duet In-Depth Review: The Most Proactive AI Personal Assistant Has Arrived
Claude Duet is Anthropic's personal AI assistant with scheduled proactive checks, Artifacts dashboards, and email drafting. A hands-on review of its core features, Uber booking failures, and how it compares with Grokbot, Muse, and ChatGPT Dots.
Claude Duet Research Preview Launches, Fable 5.5 Release Imminent | AI Daily
AI Daily: Anthropic opens Claude Duet research preview with cloud task execution and human approval for payments and deletions; Fable 5.5 release imminent; three OpenAI models enter Google Cloud Model Garden; Ant Digital's LingDT saves over 90% tokens; China Telecom open-sources Xingchen intent model; ElevenLabs opens real-time speech translation in 90 languages.
Claude Duet Hands-On Review: The Most Proactive Personal Agent — Full Analysis of Its Strengths and Weaknesses
Hands-on review of Claude Duet: Anthropic's most proactive personal agent, with built-in check-ins, writing style learning, and a skill system — but no cloud browser control or local skill management. Compared with Grokbot, Muse, and ChatGPT-Dots.
Coze Studio Open-Source Private Deployment in Practice: Building AI Workflows with CentOS 7 + Docker
A complete walkthrough of Coze Studio open-source private deployment: CentOS 7 VM + Docker setup, Ollama model configuration, Agent and knowledge base building, custom plugin development, and Chat API/SDK integration, plus an analysis of feature trims versus the online version and selection boundaries.
WorkBuddy Step-by-Step Guide: Build Your Own AI Agent Work Assistant
WorkBuddy step-by-step guide: starting from the limits of chat models like Doubao, learn to build your own AI Agent work assistant for batch local file processing and automation—no programming required.
MCP Protocol Explained in One Minute: Let Your AI Agent Actually Call Tools
Understand MCP (Model Context Protocol) in one minute: how Host, Client, and Server collaborate so AI apps can call real tools through a standardized interface, with servers written once and reused by any MCP client.
AI Agents Aren't Chat Boxes: Breaking Down the Plan-Tool-Read-Decide Loop
An AI Agent isn't a smarter chatbot but a four-step loop: plan, call tools, read results, decide. This breakdown uses an 18KB file task to explain the mechanism, compares Claude Code, Codex, and ChatGPT tool calling, and summarizes traps like infinite tool loops and blind trust in tool output, plus five convergence practices.
ChatGPT Is Not an AI Agent: Understanding the Core Difference in One Diagram
ChatGPT answers; AI Agents act. Using a flight-booking example, this article breaks down the Agent's think-execute-observe loop and how LLM, tools, and memory form an autonomous AI system.
How to Truly Test AI Agents Before Production? A Practical Testing and Monitoring Framework
BotGage founder Pramin Pradeep shares a three-step framework for testing AI Agents before production: Agent registration visibility, red teaming, and production observability — plus a real case cutting QA costs from $180K to $80K and an analysis of IT roles shifting to Agent supervisors.
How to Choose an AI Agent Development Course: Five Pitfall-Avoidance Guidelines
A mechanical-engineering career changer's two-year pitfall-tested checklist for screening AI Agent development courses: complete delivery pipeline, resume-worthy projects, real development perspective, update frequency, and coaching feedback—with concrete judgment methods and pitfall-avoidance tips.
How Does an AI Agent Control Your Computer? A Full Breakdown of Hermes' Three-Layer Toolchain
Bilibili creator Xiaoyou breaks down Hermes' three-layer toolchain for operating a computer: the built-in Terminal, file modification, and code execution foundation; optional web search, vision analysis, speech synthesis, and browser/desktop control; and an external ecosystem freely extended via CLI and MCP—plus why SSH connects but still can't operate.
How Vercel Agent Safely Accesses Production: A Plan-Driven Permission Model
How does Vercel Agent safely access production? A breakdown of its plan-driven permission model: scopes, OAuth tokens, and runtime checks.
Chatbots, Workflows, and AI Agents: The Three Layers of AI Capability Explained
Everyday examples explain the three layers of AI capability: chatbots, AI workflows, and AI Agents—from passive answering to preset automation to goal-driven autonomous decision-making, with RAG vs. Agent clarified.
AI Agents vs. ChatGPT: The Paradigm Shift from Passive Responses to Autonomous Action
Explaining the essential differences between AI Agents and ChatGPT: from passive chatbots and preset AI workflows to LLM-driven autonomous agents, covering the ReAct framework, self-correction loops, and human-in-the-loop safeguards.
MCP Protocol Explained: How AI Agents Connect to External Tools
What is MCP (Model Context Protocol)? From APIs and Function Calling to MCP's three-layer architecture, this article explains how AI Agents connect to external tools like calendars and email, and reveals two major security risks—prompt injection and tool poisoning—along with four protection principles.
Hive Intelligence: Filling the Real-Time On-Chain Data Gap for AI Agents
Hive Intelligence connects AI Agents to real-time crypto prices and token security checks via MCP servers with one-command deployment. This article reviews its multi-agent architecture, free quota, pricing, and the real value and limits of the Quaza Rewards token incentive model.
MOVO AI: The First Long-Form Video AI Agent on Mobile
MOVO AI is the first mobile long-form video AI Agent: start from shooting, upload, or an idea, auto-plan and generate with character/scene consistency, keep working after lock screen, and review edits via chat. This article analyzes its positioning, Agent value, and key open questions.
What Exactly Is an AI Agent? A Clear Explanation of How It Works
What's the difference between an AI Agent and a chatbot? This article breaks down how AI Agents work: the look-think-act-check loop, tool use, failure rates, and prompt injection risks.
How Do AI Agents Autonomously Complete Complex Tasks? The ReAct Framework Explained
What's the core difference between an AI Agent and a chatbot? Using competitive research as an example, this article breaks down the ReAct framework's three-step loop of reasoning, acting, and observing, explaining how Agents autonomously decompose tasks, call tools, spot data gaps, and dynamically adjust plans to ultimately deliver complete results.