#智能体
42 related articles
Industry Insights·3 min
Real Numbers from a Startup Founder: How AI Tools Saved Nearly ¥1 Million in Labor Costs in One Year
A startup founder with a 50-person sales team shares real AI cost-cutting results: AI sales system cut 10+ staff while boosting performance, AI customer service saves 85% monthly. Plus opportunities for developers building vertical AI tools.
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Tutorials·3 min
Building an Automated Money-Making System with AI Agents: A Multi-Agent Hands-On Tutorial
Learn how to build a full-pipeline automated money-making system using Multi-Agent architecture, covering Customer Service Agent, Cashier Agent, Delivery Agent setup, workflow orchestration, RAG knowledge bases, and MCP tool calling.
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Tutorials·3 min
Build an AI Agent with One Sentence Using Coze Programming: Complete WeChat Monetization Workflow Breakdown
Learn how to use Coze Programming to generate AI agents with one sentence, deploy them to WeChat via the Xiaowei Mini Program, and set up paid monetization in a complete four-step workflow.
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Tutorials·3 min
Cursor 2.0 in Practice: Building a Complete App with Parallel Agent Development
Deep dive into Cursor 2.0's new features including Agent view, built-in browser debugging, parallel Agent development, and Composer 1 model through building a complete habit tracker app.
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Tutorials·3 min
Complete Guide to Installing Hermes Agent on Windows: WSL Setup and Troubleshooting Common Issues
Complete guide to installing Hermes Agent on Windows, covering WSL setup, Ubuntu initialization, API configuration, Web UI installation, and solutions for DNS, virtualization, and other common issues.
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Product Reviews·3 min
Deep Dive into Tencent Marvis: How a System-Level AI Assistant Redefines Human-Computer Interaction
Deep dive into Tencent Marvis system-level AI assistant, analyzing its local knowledge base, semantic search, privacy mode, and how Agents evolve from tools to OS integration.
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Product Reviews
Deep Dive into Qwen3.7 Max: One-Tenth …
·3 min
Deep Dive into Qwen3.7 Max: One-Tenth the Cost of GPT, Purpose-Built for AI Agents
Alibaba's Qwen3.7 Max targets AI agents with coding tasks at just $1.30 (one-tenth of GPT-5), supporting 35 hours of continuous execution. Deep analysis of its cost advantages, front-end capabilities, and three key limitations.
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Product Reviews
Major Claude Code Update: A Complete G…
·2 min
Major Claude Code Update: A Complete Guide to Agent View and the Goal System
Deep dive into Claude Code's new Agent View and Goal system, covering multi-agent parallel management, background sessions, and result-oriented autonomous execution.
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Tutorials
Build AI Agents from Scratch: A Practi…
·1 min
Build AI Agents from Scratch: A Practical Guide to the Coze Platform
Learn how to build AI agents with zero coding on ByteDance's Coze platform. Covers 10 hands-on projects including DeepSeek-WeChat integration, auto-emails, and poster/PPT creation.
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Tutorials
MCP Protocol Practical Guide: The Stan…
·2 min
MCP Protocol Practical Guide: The Standard Interface for Connecting LLMs to Everything
Deep dive into MCP (Model Context Protocol) principles and practical applications. Learn how LLMs connect to external tools via MCP to become agents, covering Java tech stacks, MCP Server ecosystem, Cherry Studio demos, and A2A protocol comparison.
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Product Reviews·3 min
Cursor 3.0 Deep Dive: Rust Rewrite, In-House Model & Agent Orchestration Platform Fully Explained
Deep analysis of Cursor 3.0's three core upgrades: Rust rewrite leaving VS Code behind, in-house Composer 2 model with 86% cost reduction, and Agent Windows for multi-agent parallel development.
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Deep Dives·2 min
Hermes Agent Deep Dive: An Open-Source AI Digital Worker That Learns
Deep dive into NousResearch's open-source Hermes Agent framework: memory systems, skill reuse, tool calling, security, deployment guide, and multi-agent collaboration.
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Tutorials·2 min
Getting Started with Coze: A Complete Guide to Building AI Agents from Scratch
A detailed guide to Coze platform's core features, including the differences between AI agents and AI applications, plus a beginner's learning path for building AI agents with no-code tools.
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Tutorials·2 min
Coze Beginner's Guide: A Complete Tutorial for Building AI Agents with Zero Code
A detailed guide to Coze AI development platform's core features including agent building, workflow orchestration, knowledge base setup, and plugins — build custom AI apps with zero code.
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Industry Insights·2 min
Enterprise Agent Implementation Guide: From Digital Foundations to Intelligent Transformation
How can enterprises truly implement AI Agents? This guide covers digital foundations, AI strategy, building logic shifts, and implementation paths for successful Agent deployment.
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Tutorials·3 min
Getting Started with LLM Application Development from Scratch: A Complete Guide to Learning Paths and Career Directions
A complete beginner's guide to LLM application development: learn the three key directions (API calling, RAG, Agent), master frameworks like LangChain, and follow a step-by-step learning path to become an AI application developer.
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Tutorials
Enterprise AI Agent Four-Layer Archite…
·3 min
Enterprise AI Agent Four-Layer Architecture Design and PDCA Continuous Optimization Practical Guide
Deep dive into enterprise AI Agent four-layer architecture design (User, Gateway, Agent Service, Capability layers) with PDCA optimization methodology and dual manual+automated evaluation for production-grade Agent systems.
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Tutorials
Manus AI Agent Side Hustle Monetizatio…
·4 min
Manus AI Agent Side Hustle Monetization Guide: From Knowledge Base to Personalized Path Planning
Learn how to use the Manus AI agent to build a personal knowledge base and generate personalized side hustle monetization reports with three working modes, prompt templates, and practical examples.
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Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
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Deep Dives·4 min
The Complete Guide to Agentic RAG: Principles and Code Implementation
Deep dive into Agentic RAG vs traditional RAG, covering tool calling, multi-step iteration, query rewriting, with LangChain and LangGraph code examples for building intelligent retrieval systems.
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