[Vibe Coding Practical Demonstration] Simply put, let me explain why I really enjoy OKX's interview series and how I use these interviews with AI to create helpful tools. The reason why such interviews are precious is not because of how much profit this person has made, but because these traders clearly deconstructed their valuable "decision-making logic" during the interviews. If they just read through it, they will soon forget, but if combined with Vibe Coding, they can completely turn these experiences into "tools" to help themselves. The 'Black Swan Risk Monitoring+Downtime Detector' tool was one of the tools created by AI during this interview with Wesley. Explain the entire thought process: one ⃣ I have copied and pasted this interview and added the prompt below. Please ask AI to help me find out if there are any tools that can be developed (I am using GPT-5.1, which has relatively strong organization and integration capabilities) This is an experience interview with a skilled A9 trader. Can you help me see if there are any programming tools that can convert this trader's experience into auxiliary trading? " two ⃣ GPT-5.1 directly provides 10 tools that can be developed, and even lists pain points, tools, and functions that can be done in detail. 1) Black Swan risk monitoring+downtime detector (strongest, directly name pain points from interviews) 2) EV/GTO Probability Trading Plan Generator (based on the core concept of Tadep → Trading) 3) Market structure switching detector (according to his emphasis on path dependence being extremely dangerous) 4) Large capital leverage monitoring/clearing momentum analyzer (he mentioned the momentum logic of black swan liquidation) 5) Meme coin narrative heat radar (he trades Meme mainly based on narrative+retail sentiment) 6) Meme Coin "Chip Concentration Risk Radar" (he mentioned using BubbleMaps to check) 7) Intelligent trading assistant for oscillation range (he quickly recovers health through oscillation strategy) 8) Position and risk control assistant (fully corresponding to his fund management philosophy) 9) Novice long-term configuration assistant (emphasizing that Bitcoin is the most stable in the long run) 10) K-line structure simplifier (he mentioned: the higher the level, the simpler, and the higher the winning rate) three ⃣ Taking the creation of the first tool as an example, GPT provided the following text, which I copied directly onto cursor+Claude Opus4.5. With a single prompt, this monitoring tool was generated. Black Swan risk monitoring+downtime detector (strongest, directly name pain points from interviews) Pain points The biggest reason for Wesley's $5 million liquidation: A certain exchange experienced a system crash that caused market makers to not place orders, resulting in an instant lack of liquidity. Almost no one monitors this in the blockchain world. Can be used as a tool Exchange Health Monitor Function: Real time monitoring of Binance/OKX/Bybit order book depth changes Detecting instant disappearance of liquidity (significant gap, no pending orders) Detecting API 503/WebSocket interrupts Once there is a "potential downtime risk" → Telegram/Discord/x402 send notification Commercialization VIP user monthly subscription Sell API keys to large trading groups/KOLs/communities Advanced version adds "automatic reduction/protection mode" This is the most lacking thing in the cryptocurrency industry, but no one has done it well. If you create it, it will be used by many people. " ===Conclusion=== When AI reduces the cost of "execution" to almost zero, what is truly infinitely amplified is the individual's thinking density and creativity. A high-quality interview, AI can help you refine it into a set of trading tools A set of expert logic, AI can help you transform it into an automated system A fleeting thought in your mind can turn into a product tonight. This is the true essence of the 'super individual': Not letting you do the work of ten people alone (that's overwork) But instead, it allows you to have the ability of ten people alone (this is leverage) The only thing we need to do is to use human judgment to control the execution power of AI. AI gives everyone the opportunity to do something, but whether they can do it or not depends on whether you want it or not!