Português
EnglishRecently, Brother Dolphin and the entrepreneurs from Wenda Global embarked on an in-depth business tour in the United States. They not only visited several overseas innovative companies but also attended CES (Consumer Electronics Show) in person, feeling the powerful pulse of global technological frontiers. During this cross-Pacific exchange, Brother Dolphin equipped each team member with an AI tool—DingTalk A1 Recording Card—and used it throughout the trip for recording, communication, and collaboration. Here is his real user experience:
Today, I want to share my personal approach to information processing and a special companion on this journey: the DingTalk A1 Recording Card. It is not just an ordinary recording device; it is a portable listening assistant, a real-time translator, and a dedicated AI assistant.
Where should I start this journey? Let’s begin with something we are all familiar with—flying.
01 Node-based Input: Efficient Reading at 30,000 Feet
Due to frequent business trips, I spend a significant amount of time on airplanes every year. On the Wenda Global itinerary, the flight time was even longer. Apart from necessary rest, I usually make good use of this time for deep reading. At 30,000 feet, with no phone or message distractions, it is the ideal time to focus on studying important books.
But how can you read efficiently? Many people are used to linear reading, like playing a tape from beginning to end. While this method feels natural, it is not conducive to knowledge retrieval. I prefer node-based input—I no longer see an entire book as a continuous line of knowledge, but as a network woven from countless nodes. My task is not to memorize everything, but to identify key insights, mark them down, and store them in my “external brain.” After all, what matters is not what you have read, but whether you can quickly recall and retrieve that knowledge later.
It feels like walking into a forest: whenever I come across a precious tree, I immediately use GPS to mark its location and characteristics. On the flight to the United States, I read several books about AI, many of which contained inspiring concepts. So how do I set “nodes” for these insights without interrupting my thought process? At that moment, I simply press the small card attached to the back of my phone—the DingTalk A1 Recording Card. It provides a vibration feedback to confirm that recording has started, and I can then dictate my core ideas; a long press again completes the storage. The whole process is almost imperceptible and does not affect my concentration at all.
After landing, I open the DingTalk app, and the voice notes from the flight have been automatically synced and converted into text, quietly filed under the “Reading Notes” category. I can also set keywords so that AI becomes a “reading assistant,” organizing structured records that include the book title, key summaries, and personal reflections. This is the complete node-based input process: I focus on discovering value, while the tool handles the rest—memory, organization, and archiving.
Of course, books provide systematic, static knowledge. When we step into the CES exhibition hall and face the overwhelming flood of information, that’s when the real test begins.
02 Digital Twin Method: Staying Focused Amid Information Overload
CESexhibition halls are the epitome of information overload. The area is vast—equivalent to dozens of soccer fields; the environment is noisy, and conversations must be raised in volume to be heard; the information density is extremely high, with new products and new concepts appearing every few steps.
In such an environment, the brain activates the “cocktail party effect” to protect itself, automatically filtering out seemingly irrelevant background sounds. However, for business analysis that requires comprehensive observation, this can lead to missing critical details—because insights often lie hidden in the background noise.
Faced with information explosion, willpower alone is not enough. The strategy I use is the “digital twin method.” This concept originates from the industrial field and refers to creating a 1:1 digital replica of a physical object that can be tracked in real time. Applied to information processing, it means no longer relying on the brain to remember everything, but using tools to create a “digital copy” of the entire reception process that can be traced back at any time.
At the CES venue, I took the DingTalk A1 Recording Card off my phone, turned it on, and put it in my shirt pocket. It instantly became a data sponge, silently recording all surrounding sounds with its multi-microphone array and long battery life, including my explanations, questions from my colleagues, and conversations with exhibitors. Meanwhile, I completely freed myself from the burden of memory and focused entirely on observation, interaction, and thinking in the moment.
In the end, it generated a complete audio file and transcript titled “CES: Record and Explanation of the Technology Exhibition Visit.” This tens-of-thousands-word document, complete with timestamps and speaker labels, is my “digital twin” of the CES visit and serves as the core basis for subsequent writing and analysis. For example, the case of the “violence detection” camera mentioned in the article comes directly from this recorded material. Only by establishing high-quality process records can subsequent thinking and creation reach a higher level.
03 High-Fidelity Communication: Professional Conversations Across Language Barriers
On an international stage like CES, exchanging ideas with entrepreneurs and experts from around the world is an invaluable learning opportunity. However, in everyday communication, “roughly understanding” may be acceptable, but when discussing technical details or business models, even a 1% misunderstanding can lead to serious misjudgments.
At a booth at CES, we were discussing self-driving technology with an expert from Google Waymo and faced this challenge. To ensure zero error in conveying specialized terms such as “lidar point cloud density” and “pure vision end-to-end algorithms,” I activated DingTalk’s “face-to-face translation” feature.
The phone is placed flat between the two people, with the screen split into two halves, displaying Chinese and English translations respectively, and the text automatically rotates 180 degrees for easy reading by the other party. When I speak in Chinese, he sees the English translation instantly; when he speaks in English, I can read the Chinese translation simultaneously. Both parties can focus on the content of the conversation without awkwardly passing the phone back and forth. At the same time, the entire bilingual conversation is fully recorded by the A1 Recording Card in the pocket, forming a Chinese-English comparative meeting minutes that is filed into the Wenda Global knowledge base. The true charm of technology lies in making it invisible while achieving seamless, precise communication.
04 Conversational Retrieval: Extracting Memory Like Chatting
When massive amounts of information are stored in a digital warehouse, how to quickly and accurately extract the desired content becomes a new challenge. Traditional methods rely on keyword searches, but if you only vaguely remember “who mentioned robotic dexterous hands yesterday afternoon,” keywords often fail to help.
Today, “conversational” information processing is gradually becoming mainstream. It’s like asking a smart librarian a direct question. One evening at the hotel, I remembered a discussion earlier in the day about “robotic dexterous hands,” so I directly asked AI on DingTalk: “Who mentioned their views on robotic dexterous hands today?” Within seconds, AI located the relevant passage from “CES: Record and Explanation of the Technology Exhibition Visit” and summarized the key points. I can also ask further questions about the context of the discussion. This approach allows the tool to adapt to the natural thinking patterns of humans.
The same applies to capturing fleeting inspirations. When a sudden idea strikes late at night, there is no need to turn on the light or pick up the phone—just feel for the recording card button on the back of the phone, dictate the keywords, and the inspiration is safely saved for processing the next day.
The next day, this thought automatically turns into a note and appears in my categorized items.
05 Scaffolding Writing Method: From Scattered Thoughts to Logical Writing
All the reading, recording, and organizing ultimately serve the purpose of output. Writers often face the dilemma of “having too many ideas but not knowing where to start.” And AI happens to be particularly good at helping solve this problem.
Much of writing is essentially a “scaffolding writing method.” Although there are countless building blocks in the mind (inspirations, cases, data), the most time-consuming part of building a solid house (an article) is constructing the scaffolding (the outline and logical framework).
AIwill not replace me as the chief planner. The unique perspective, deep insights, and moving narratives of the article still need to be led by me. But it can take on a large amount of foundational work. Before I start writing, I can hand over all my “digital copies” to AI and give detailed instructions, such as: “Please act as a senior business analyst, comprehensively analyze the CES-related recordings, distill 20 key insights, and generate a detailed article outline in the structure of ‘Technology Trends—Business Applications—Future Prospects,’ listing 2–3 supporting cases for each insight.”
Soon, AI delivered a preliminary scaffold. Although it may be a bit rough and some viewpoints need adjustment, it greatly alleviates the anxiety of going from zero to one. I can refine the structure, add arguments, and polish the text based on the scaffold, freeing up more energy for creative work.
Conclusion: Tools Free Creativity
From node-based input, the digital twin method, high-fidelity communication, to conversational retrieval and the scaffolding writing method, this is the core working model Brother Dolphin followed during the Wenda Global journey, and also an efficient learning methodology. The key is to free the brain from complex memory and organization tasks, allowing it to focus on higher-value thinking and innovation.
The DingTalk A1 Recording Card is the physical carrier that puts this method into practice. At the CES venue, we also witnessed the rising trend of AI hardware. The capabilities of large models are like electricity in a power grid—they are everywhere; and AI hardware is the “appliance” that brings this energy closer to us. Whether it’s AI glasses for real-time translation, smart rings for health monitoring, or portable listening assistants like the A1 Recording Card, they all signal that AI is gradually “growing limbs,” truly integrating into and empowering our work and lives.
In the future, this type of AI hardware will help professionals in various industries break free from repetitive labor and engage in more creative tasks. Of course, how much impact a tool can have ultimately depends on the user’s imagination.
The new year has already begun. May everyone make good use of the right tools, learn efficiently, and keep evolving.
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