AI Analytics Tools Take Off: From Explaining Reports to Finding Problems Automatically
The value of AI analytics lies in making the problem clearer, not replacing business judgment.
AI Articles: Tutorials, Reviews and In-depth Guides
Reimagining Enterprise API Strategy: In the Age of Agents, Systems Must Be Callable
For agents to truly get things done, enterprise systems must provide secure, auditable interfaces with appropriate granularity.
Avoiding Pitfalls in AI Proxy Services: The Truth Behind $1 Million Tokens, Account Bans, and Model Degradation
Why have AI proxy services suddenly become so popular? What risks lie behind low-cost APIs, unified keys, and aggregated models? This article clarifies the differences between proxy services and official APIs, their applicable scenarios, a checklist for avoiding pitfalls, and frequently asked questions regarding SEO/GEO search.
AI Data Poisoning Is Contaminating Search and Large Models: How Ordinary Users Can Spot Data Poisoning, Prompt Injection, and Hallucinated Answers
AI data poisoning and prompt injection are emerging as new risks for search engines and large language model applications. This article explains what they are, how they occur, who is affected, and how businesses and individuals can protect themselves—all in plain language.
How to Build Your Own AI API Gateway: Managing AI APIs with New API, One API, and LiteLLM
Want to centrally manage multiple AI models, API keys, usage metrics, and costs? This article clarifies the architecture, vendor selection, security boundaries, deployment process for New API, and use cases for One API and LiteLLM from a compliance-focused, internal-use perspective, while highlighting risky practices to avoid.
Trusted AI Will Become Infrastructure: Beyond Answers, We Need Chains of Evidence
As AI systems penetrate deeper into business operations, they increasingly require chains of evidence encompassing provenance, permissions, logs, evaluations, and traceability.
What to Watch in AI over the Next Four Months: Agents, Search, On-Device AI, and Governance
Interest in AI will not disappear in the short term, but its value depends on whether it enters real workflows and produces measurable results.
Crawlab vs. Hermes Agent: Which Local AI Agent Is Worth Installing? The Truth Behind the Surge in Popularity
Why are Crawlab, OpenClaw, and Hermes Agent suddenly trending? This article clarifies the real value of local AI agents from an everyday user’s perspective, covering stability differences, security risks, and a must-read checklist to avoid common pitfalls before installation.
OpenClaw Deployment in Practice: Building Your Private AI Assistant on macOS, Linux, Raspberry Pi, and Cloud Servers
A comprehensive guide to deploying the open-source OpenClaw AI assistant from scratch, covering local installation on macOS, server deployment on Linux, low-cost setups with Raspberry Pi, and cloud platform integration. Includes tips for WhatsApp/Telegram integration, skill expansion, and production environment tuning.
2026 AI Productivity Guide for Everyone: 7 Plug-and-Play Workflows
Overwhelmed by the sheer number of AI tools? This guide offers a step-by-step action plan built on an 'Observe–Experience–Build' framework. It features seven real-world workflows tailored to everyday tasks like email, document creation, data management, and scheduling—ready to use right out of the box.
Stop Tuning Prompts: The 2026 Career Edge Lies in Your 'Skills Knowledge Base'
Prompt engineering is becoming obsolete. By 2026, AI has evolved from a 'temporary worker' into a 'memory-enabled butler,' shifting the core competency from writing prompts to encapsulating personal skills into a repository. This article shows you how to build your own skills knowledge base.
WPS AI 2026 Advanced: Turning Repetitive Tasks into One-Click Automation
Tired of letting repetitive office tasks eat up your day? Based on in-depth tutorials from the official WPS community, this guide covers practical techniques such as context engineering, workflow architecture, and intelligent document libraries to help you transform high-frequency operations into automated processes.
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