Introduction

The era of AI employees has arrived. Although intelligent agents like Openclaw are popular, most people are still in the excited but inactive observation phase.
How beneficial is it really? Can a complete novice get started right away? Will there be any major pitfalls? Can OpenCaw really help with work instead of causing chaos?
To answer these questions, the well-known data aggregation and market information platform MyToken held an online sharing session (AMA) full of practical insights. Host AU invited four guests who have deeply integrated intelligent agents into their workflows. They shared real stories, pitfall avoidance guides, and sharp predictions for the future from the perspectives of traders, tech experts, operations specialists, and brand marketing officers.

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Guest Lineup (in no particular order)

• Big Brother: A seasoned trader and a firm holder of Dogecoin. He pursues using AI to enhance trading efficiency and represents "pragmatism."
• Song Shen: A tech expert who deeply researches AI agent architecture while focusing on predictive markets at Gougoubi Labs. He collaborates with AI tools for over 18 hours daily, concentrating on the "soul architecture" of agents and full-process automation implementation.
• Peng Bo (Ben): An expert in blockchain project operation incubation. He leads a non-coding operations team to successfully develop BD tools using AI, representing the "practical faction."
• Christine: CMO of KTX Exchange. From a brand marketing perspective, she explores the "human-machine collaboration" model of AI in information filtering and content creation.

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1. Awakening Moment: What Made Them Decide to "Seriously" Use AI to Build Automated Workflows?

Everyone's journey with AI has a decisive moment.
Although the opportunities for the guests to enter the AI workflow vary, they all realized at some point that AI is no longer just a chat tool but a core productivity force that can reshape work methods.
For Song Shen, the awakening occurred three years ago when ChatGPT was first released. However, the real leap came with the emergence of coding assistants like Cursor. "In the past, I would chat with Chat and copy code. Now, you just need to design the workflow and tell the AI 'what you want to do,' and it can complete most of the coding tasks." Now, he has even "completely stopped looking at code," fully handing over programming tasks to intelligent agents like Claude Code.
Big Brother's motivation is very straightforward—"I don't want to be eliminated by the times," and he also wants to free up time spent monitoring the market. When people around him started using it, he realized it was too late if he didn't keep up. After "jumping on the bandwagon," he was pleasantly surprised to find that AI could indeed help him eliminate a lot of repetitive and inefficient operations, allowing him to focus more on core trading decisions.
As an operations incubation expert, Peng Bo's team's awakening was "forced." In the past, developing tools required assistance from specialized technical personnel. Now, with their understanding of the business, they have used AI's capabilities to develop a complete set of tools from data scraping to customer communication. "Going from someone who knew nothing about coding to being able to buy servers, set up nodes, and develop applications was itself a shocking education."
Christine takes a more rational approach. Her daily work involves a lot of brand and marketing content, requiring human creativity. She believes AI's role is as an "efficiency accelerator," such as using Claude's Chrome extension to quickly browse and filter massive amounts of information, freeing human resources from tedious information collection tasks to focus on higher-value creativity and brainstorming.

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2. Real Case Breakdown: What Have They Done with AI?

Talk is cheap; the guests shared their most authentic and specific application cases.

• Big Brother: Let AI Monitor Trading 24/7. This is his most satisfying application. By connecting to the exchange's API, he gives the agent a few commands, and it can automatically monitor market conditions around the clock and trade automatically when triggered. "This greatly reduces the time spent monitoring the market, allowing me to capture information more keenly."

• Peng Bo: Use AI to Simulate Real BD and Automatically Acquire Customers. This was the most impressive case of the session. Their team deployed 40 AI-driven "BD accounts" on Telegram, simulating real business personnel. These accounts automatically assess the identity of the other party, send customized messages, and guide interactions. The results were surprising: "This morning, I found that two or three accounts had already scheduled phone meetings, and the other party chatted for an hour before asking, 'Are you AI?'" Next, they plan to expand the number of accounts to 200.

• Song Shen: Build His Own "AI Body" Architecture. What he is doing is more foundational and grand—designing a complete set of intelligent agent architecture, giving AI "brain, body, hands, feet, and internal organs," even including characteristics of living beings such as "memory, rest, and recovery." His goal is to make this architecture transplantable to any enterprise or application (such as decentralized predictive markets), replacing workflows for all internet jobs in the future.

• Christine: Human-Machine Collaboration to Filter and Write Press Releases. She uses Claude's Chrome extension to have AI browse major cryptocurrency news platforms like a human, filter out the five most relevant news items for her platform, and draft a press release. "Although I still need to edit the final content, this process has greatly improved efficiency."

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3. Pitfall Avoidance Guide: How Can Beginners Make AI "Work Reliably" Instead of Causing Chaos?

Ideals are beautiful, but there are many pitfalls in reality. For computer novices and entry-level users, the guests provided the most practical paths to get started and avoid pitfalls.

1. Safety First, Permission Isolation: Big Brother emphasized that when giving AI wallet or API permissions, always use a separate new wallet and do not put too much money in it. "If one day your lobster is called by someone else and the command transfers your money away, it would be a loss."

He recommended a specific shortcut: directly use the built-in low-cost Agent from Binance (with a low monthly fee), which requires no self-deployment, comes with exchange skills, supports integration with other platform APIs, and automatically isolates sub-accounts to reduce asset risk. It's safe and convenient.
He also suggested that if you don't understand coding, don't force it; follow tutorials step by step, and directly ask AI to fix errors; additionally, avoid blindly testing that consumes a lot of tokens, and run through the complete process before using it formally; if you haven't entered the market yet, you can patiently wait for more foolproof products to become popular, as the threshold will be infinitely lowered in the future.

2. Beware of Token Consumption, Plan Well: This is Peng Bo's hard-earned lesson. As a team that doesn't understand coding, they burned a lot of unnecessary money during their exploration. "One day, we consumed $300." He advises beginners to think clearly about what they want to do before getting hands-on to avoid blind attempts that lead to uncontrolled costs. Testing costs are extremely high for non-technical backgrounds, with daily consumption reaching hundreds of dollars, so it's essential to control costs; he also suggests abandoning inefficient functions and prioritizing workflows that can directly improve efficiency and monetize; for the specific process of building BD automation, he recommends using old TG accounts that have been active for over three years with memberships, sending no more than 20 proactive messages per day to ensure safety and effectiveness.

3. Change Your Mindset; It Is No Longer Just a "Tool": Song Shen proposed a higher-dimensional way of thinking. He believes that many current applications are merely "Internet + AI," rather than truly "AI-native." Beginners should abandon the "tool mindset" and treat AI as a "new species" that can collaborate and even surpass you in some aspects. In the future, the competition will not be about who is more professional, but who has more and smarter "AI employees."

4. Accept Imperfection, Clarify "Human-Machine Boundaries": Several guests unanimously agreed that in terms of creativity, complex interpersonal relationships, and judgments on sudden geopolitical events, AI currently cannot replace humans. Christine and Peng Bo both pointed out that AI is more suitable for preliminary screening and standardization work, while final decision-making, deep communication, and creative oversight still require human involvement.

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4. What Can AI Not Replace? These Human Abilities Remain Irreplaceable

Although AI has strong automation capabilities, the guests unanimously believe that there are still many scenarios that cannot do without humans:
1. Decision-Making in Sudden and Extreme Events
Geopolitics, black swans, one-time breaking news—AI lacks sufficient rules and experience to make decisive judgments.
2. Genuine Interpersonal Communication and Emotional Understanding
The emotions, cultural contexts, and social nuances behind the dialogue are difficult for AI to read accurately; to close deals, high-value business connections still require human intervention.
3. High-Level Creativity and Aesthetic Design
Non-standard creative work such as posters, copywriting, and event planning can be assisted by AI, but the final quality and ability to resonate with users still depend on humans.
4. Decisive Trading Decision-Making
AI can calmly process information but lacks the decisiveness and risk intuition that humans have at critical junctures.

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5. Future Outlook: How Will AI Change Professions and Industries?

The guests' judgments about the future are sharp and consistent: AI is fundamentally reconstructing professional logic.
Song Shen's viewpoint is the most disruptive: in the next five years, the number of agents may exceed humans, the more specialized the profession, the easier it is to be eliminated, and those with holistic thinking, language creation, and imaginative abilities will be more valuable; the future will not be about winning through numbers but through the number of intelligent agents individuals possess, allowing humans to focus on health and life while leaving work to AI.
Christine believes that operational and practical work will be largely replaced by AI, with human core value shifting towards creativity, brainstorming, emotional resonance, and cross-domain collaboration.
Big Brother assesses from a trading perspective: institutions will use AI for trading on a large scale, requiring higher professionalism and tool usage capabilities from retail investors, leading to a more specialized market.
Peng Bo concludes: In the short term, professionals will become more specialized, and tools will widen the gap; in the long term, societal forms may undergo tremendous changes, so for now, we should use AI to excel at what we are good at.

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AI Summary: Core Points Extraction

1. Agents Are Fully Implemented: They can be used for automated trading, no-code development, TG customer acquisition, content filtering, and community operations—all practical workflows that can be directly reused.
2. Beginner-Friendly Path: Prioritize using integrated products (such as built-in agents from exchanges) or wait for foolproof products, isolate assets, control token consumption, and gradually get started even without coding knowledge.
3. Core Pitfall Avoidance: Independent assets, compliant accounts, set goals before development, abandon inefficient functions, and avoid ineffective testing that wastes costs.
4. AI Boundaries: Replace repetitive execution work but cannot replace sudden decision-making, emotional communication, high-level creativity, and critical decisiveness.
5. Future Trends: Professional barriers will be broken by AI, with comprehensive thinking, creativity, and collaboration abilities becoming more important; the number of intelligent agents individuals possess will become a core competitive advantage.