I’m not a 'Moon-boy' influencer. I’m an On-Chain Forensic Researcher who is obsessed over one question: How do we spot the lie before we send the transaction?
I didn't want to just 'guess' anymore. So, I built these 5 'Forensic Prompts' to do the heavy lifting. They will allow you to scan a project’s soul in 60 seconds—checking for 'backdoor' code, hidden whale dumps, and fake tech claims.
My Mission is Simple: To level the playing field. I want to give every retail investor the same 'Digital Microscope' that the hedge funds use. This toolkit isn't just about making money, it’s about protecting it. Because in crypto, the best trade you ever make is the one you didn't take because you saw the red flags early.
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FAQs
A: You can, but you’ll likely get a generic "I cannot provide financial advice" response or a surface-level summary of the website. These Forensic Prompts use "Chain-of-Thought" engineering. They force the AI to act as a Cybersecurity Auditor and a Whale Analyst, bypassing the standard filters to dig into the contract code, wallet concentrations, and developer history that a normal search misses.
A: These prompts work on the Free version of ChatGPT, Gemini, and Claude. However, for the most "Deep-Dive" results, using an AI with Web Browsing enabled (like ChatGPT Plus or the free version of Google Gemini) allows the prompt to scan real-time 2026 blockchain data and news.
: No. This is Data Extraction. These prompts don't tell you what to do with your money; they pull the hidden data (Liquidity locks, dev wallets, code backdoors) out of the shadows so you can make an informed decision. Think of it as a "Digital Microscope" for your research.
A: Once you paste the prompt and the project name, the AI typically generates your full 4-section Forensic Report in 60 to 90 seconds. It saves you roughly 3 to 5 hours of manual manual digging.
Due to the digital nature of this Forensics & Crypto course and the immediate access to proprietary prompts, all sales are final. No refunds will be issued once the download link is generated.
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