Hydrorelax Participates in AI Agent Training Program
From July 8 to 9, 2026, Hydrorelax CEO Jonny led team members to attend the "AI Agent Practical Training and Deployment Workshop" — a structured two-day program organized by Xiaomifeng Company, covering real-world deployment of AI agent systems in business operations.
The training focused on the practical deployment of AI agent technology across key business scenarios — including independent website operations, content automation, and data analysis — equipping the team to integrate AI capabilities into daily workflows and move from concept to real-world implementation.
The instructor explained that not all AI systems are agents — and the differences between them are operationally significant.
Question-answering AI systems — such as ChatGPT and Dola — are designed to respond to prompts but cannot proactively initiate or complete tasks.
AI agents, by contrast — such as OpenClaw and Hermes Agent — operate on a fundamentally different architecture: they understand objectives, autonomously plan execution steps, call external tools, and deliver completed results without step-by-step human instruction.
The instructor emphasized that in the AI era, the critical mindset shift is to stop treating AI as a "conversation partner" and start deploying it as a "digital employee" — a system capable of receiving assignments, executing tasks, and returning results autonomously.
During the two-day program, the instructor guided the team through hands-on deployment of AI agents across real business workflows, demonstrating how AI agents generate measurable value at each stage of operations.
In the area of data-driven decision-making, the training covered the integration of AI agents with Google Search Console (GSC) and Google Analytics 4 (GA4). This integration enables AI agents to directly analyze live website traffic and user behavior data — allowing the team to rapidly identify performance issues, evaluate traffic source quality, and make operational decisions grounded in reliable, real-time data.
In the area of content quality improvement, the instructor demonstrated how AI agents can systematically analyze large volumes of industry forum discussions to surface target customers' actual needs and emerging market trends — enabling content teams to produce material that genuinely reflects real customer expectations rather than assumed ones.
As a company serving global markets, Hydrorelax has recognized — across more than two decades of operations — that user preferences vary significantly across regions. Traditional methods of understanding market demand, relying primarily on trade shows and fragmented customer feedback, are inherently limited in both speed and coverage.
Going forward, Hydrorelax will leverage AI agents to continuously monitor global market dynamics, surface emerging trends, and drive product optimization based on customers' verified, real-world needs.
At the same time, Hydrorelax remains committed to the core principle of "customer feedback driving product evolution." The team will combine firsthand requirements and usage feedback collected from existing customers with AI-generated market insights — creating a dual-source intelligence loop. Through this integration, Hydrorelax aims to continuously upgrade its products and build a more competitive portfolio of products and services.
While actively adopting AI, the training also emphasized a critical parallel priority: recognizing security risks and implementing data protection practices when deploying AI agents.
The instructor provided detailed guidance on core operational security practices, including: secure storage of API keys, hierarchical management of data access permissions, and anonymization of sensitive information. Together, these measures enable the company to scale AI agent adoption while effectively mitigating the risks of data breaches and regulatory non-compliance.
As AI technology reshapes the landscape of global trade, the speed and depth of AI adoption are emerging as defining factors in long-term corporate competitiveness.
"The future competition will be determined by whose data assets are deeper, not whose AI is more advanced."
The instructor recommended that participants establish an internal "prompt library" — a structured repository of standardized, high-quality AI instructions used across daily workflows. This approach reduces employee onboarding costs and builds the organizational foundation for scalable AI adoption across the team.
This training marked a pivotal step in Hydrorelax's AI adoption journey — equipping the team with practical, immediately deployable skills while reinforcing a culture of continuous learning and exploration. As the team put it:
"Let AI handle execution, and leave the thinking to ourselves."
Hydrorelax will continue to track the evolution of AI technology, maintain a customer-first orientation, and leverage technological innovation to strengthen independent website operations and global service capabilities — delivering more professional, reliable products and services to customers worldwide.