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Yunqi AI+
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Yunqi AI+

Focuses on AI-powered enterprise digitalization, sharing product and technology practices. Covers AI use cases, technical architecture, product design examples, and industry trends. Aimed at developers, product managers, and digital transformation professionals, providing practical solutions and insights. Uses technology to drive digitization and AI to enable business innovation.

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Recent Articles

Latest from Yunqi AI+

24 recent articles
Yunqi AI+
Yunqi AI+
Feb 23, 2026 · Artificial Intelligence

Effective Prompt Writing Techniques for Human‑AI Collaboration

Prompt engineering serves as the bridge between humans and AI, requiring cognitive decomposition, instruction engineering, and model alignment; the article outlines essential skills, precise language, scenario adaptation, iterative optimization, ethical safeguards, symbol conventions, template examples, tuning tools, FAQs, and learning resources.

AI CollaborationPrompt DesignPrompt templates
0 likes · 12 min read
Effective Prompt Writing Techniques for Human‑AI Collaboration
Yunqi AI+
Yunqi AI+
Feb 22, 2026 · R&D Management

Rethinking Product Development: How AI Reshapes the Value Stream, Not Just Code Speed

The article analyzes how AI has evolved from a code‑completion aid to a foundational operating system that forces product‑research teams to redesign the entire requirement‑to‑delivery value stream, outlining practical boundaries, pilot implementation, organizational role changes, metric shifts, and risk governance.

AIMetricsR&D management
0 likes · 17 min read
Rethinking Product Development: How AI Reshapes the Value Stream, Not Just Code Speed
Yunqi AI+
Yunqi AI+
Feb 13, 2026 · Artificial Intelligence

Key Challenges When Enterprises Deploy AI-in-the-Loop

The article outlines a four‑layer framework—process, technology, risk, and culture—to help enterprises implement AI‑in‑the‑loop safely, ensuring AI assists decisions while humans retain final authority, with concrete governance, data, and organizational practices.

AI-in-the-loopHuman-AI CollaborationMLOps
0 likes · 7 min read
Key Challenges When Enterprises Deploy AI-in-the-Loop
Yunqi AI+
Yunqi AI+
Feb 13, 2026 · Artificial Intelligence

AI Engineering: Methodology and Practice for Turning Generative AI into Production Systems

The article outlines a comprehensive AI engineering methodology—including the TPMR framework, an AI‑driven development lifecycle, talent transformation from co‑pilot to AI pilot, and a practical enterprise adoption roadmap—to move generative AI and large models from experimental prototypes to production‑grade systems.

AI engineeringAI lifecycleLLMOps
0 likes · 5 min read
AI Engineering: Methodology and Practice for Turning Generative AI into Production Systems