5 articles found
Most people use AI poorly not because models are weak, but because they lack Harness Engineering thinking. This article breaks down why LLM outputs are inconsistent, introduces the three-layer prompt architecture (Role, Context, Output Spec), and shares 5 techniques to double your prompt quality — plus how to build a personal Prompt Library for reproducible AI workflows.
China's LLM race has shifted from parameter wars to real-world deployment. Zhipu AI leads with open-source strategy, agentic AI, multimodal integration, cost efficiency, and Chinese-native training. A deep dive into GLM models for developers and enterprises making tech stack decisions.
TRAE stands out because it does more than generate smart answers. It reduces friction, keeps long context, coordinates agentic workflows, and pushes work all the way to a usable result.
An in-depth look at Marvis AI's five core advantages: full-pipeline automation, seamless API integration, native multilingual support, built-in SEO engine, and extensible Agent architecture. From idea to publish, Marvis is a complete content operating system.
In the competitive 2026 AI market, Doubao by ByteDance emerges as the most Chinese-centric AI assistant with four core advantages: native Chinese understanding, multimodal integration, Agent architecture, and localized services. This article analyzes its key competitive strengths.