Whitepapers & Reports
Turn frontier technology and field practiceinto reusable intelligence
Explore industry whitepapers, technical whitepapers, playbooks, and reports on enterprise agentic AI, transformation, and business practice.
《Toolkit for Evaluating AI Implementation Scenarios in Enterprises (2026 Edition)》
The real challenge of implementing AI in enterprises is not 'whether to do it' but 'what to start with'. There are plenty of tools and numerous attempts, but the results often show many pilot projects with little accumulation. Therefore, what is truly lacking in building the first roadmap is not a list of technologies, but a method for prioritizing judgments.
《2026 China AI Agent Industry Development Research Report》
36Kr Research Institute released the '2026 China AI Agent Industry Development Research Report'. The report points out that the current AI Agent industry in China is in the early stage of transitioning from proof of concept to proof of productivity, and from single-point applications to commercial scaling.
《Context Moats 2026》
In providing AI content generation and decision support for over 180 enterprises, we have repeatedly validated a judgment: pure data does not equal competitiveness; only context that can appreciate over time, sediment through cross-departmental collaboration, and is difficult to replicate can truly constitute a moat.
《AI Business Evolution Blueprint: Enterprise-Level Agentic AI Implementation White Paper》
From concept to execution - How Tezign GEA helps enterprises build new infrastructure for the era of intelligent agents
《The Brand Marketing 3K Content Growth Guide》
From 2022 to 2025, China's KOL/KOC marketing market has undergone profound changes from rapid growth to structural adjustment. The contradiction between the surge in content demand and the scarcity of high-quality creativity is a common 'capacity bottleneck' faced by brands. The emergence of AIGC technology provides a revolutionary idea to solve this problem. AIGC technology improves content creation efficiency by 3-5 times through a 'human-machine collaboration' model.