💥 10 advanced AI techniques I often use, I suggest you save a copy for reference.
Continuing the previous discussion on AI usage;
If we can better utilize some AI prompts in WEB3, it can save time and help us accomplish many cognitive enhancement tasks;
Many people use AI just to "ask for answers," but experts use AI to "refine cognitive differences + act as insight amplifiers + build intelligence assistants."
These 10 prompts are what I use regularly for writing Alpha threads, market analysis, token disassembly, and cognitive sharpening, directly widening the cognitive gap.
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1️⃣ Narrative Radar / New Narrative Monitoring Agent
Prompt example:
"You are a Web3 narrative radar expert, please regularly scan emerging narratives in communities like X, Reddit, Telegram, and help me summarize【3-5 new narratives with diffusion potential】each week, including example tweets/discussion heat/relevant projects."
➡️ Scenario usage: Scan before writing an Alpha thread each week to avoid missing hot topics.
2️⃣ Token Model Value Map Analysis:
Prompt example:
"This is a [project white paper or token economic model document], please help me generate【value logic map】+【potential risk commentary】+【hidden assumptions breakdown】+【whether it has a sustainable positive feedback loop flywheel】."
➡️ Scenario usage: Quickly analyze tokens, generate structured cognition, and determine if it's worth deep diving.
3️⃣ Tweet Draft Reverse Sparring
Prompt example:
"Here is the tweet/Thread I am preparing to post, please point out【logical flaws】,【unclear expressions】,【insufficient persuasiveness】, and【potential backlash points】from the perspective of a【critical reader】. Please be blunt and help me identify potential issues in advance."
➡️ Scenario usage: Review before posting high-leverage opinions or controversial topics.
4️⃣ Insight Excavator
Prompt example:
"This is the theme of a deep Web3 article I want to write【xxx】. Please try to propose【5 insights that are not easily thought of and have penetrating power】, and explain why these insights can resonate with readers."
➡️ Scenario usage: Supplement high-energy paragraphs in articles / refine titles / enhance scarcity.
5️⃣ Reverse Challenge Cognitive Model
Prompt example:
"Here are the investment cognitive models/principles I currently believe in【xxx】, please challenge it from philosophical, historical, and psychological perspectives, pointing out possible limitations, temporal biases, and potential future errors."
➡️ Scenario usage: Sharpen investment cognition and avoid obsolescence.
6️⃣ Future Self Advisory Letter
Prompt example:
"Based on my posting style/views/actions on X over the past two years, please act as【me five years in the future】and write a letter of advice to my current self (2025), reminding me of risks, mindsets to maintain, and opportunities worth noting."
➡️ Scenario usage: Align mindset, very enlightening after writing.
7️⃣ Investment Sentiment Emotion Scan
Prompt example:
"Help me scan tweets/discussions about【a certain project or major asset】on X platform in the last 72 hours, and determine the current market sentiment as【extremely optimistic, neutral, or pessimistic】? What are the main holding groups doing? What is the mainstream narrative? Are there any contrarian signals?"
➡️ Scenario usage: Assist in position decision-making / contrarian opportunity assessment.
8️⃣ Specialized Intelligence Agent Configuration
Prompt example:
"You are my dedicated intelligence agent in the InfoFi track, please help me regularly track the latest developments of projects like【Kaito, Cookie, Layer3, Sahara, MetaScan, etc.】, and organize【core progress summaries】+【potential value changes】+【market attention trends】. Update weekly."
➡️ Scenario usage: Create your own private research assistant in InfoFi.
9️⃣ Article Style Learning
Prompt example:
"Here are three recent deep tweets/articles I wrote about Web3, please learn my style (language style, logical structure, emotional rhythm, common metaphors/quotations), and prioritize using this style when generating content in the future."
➡️ Scenario usage: Train an AI style that carries your imprint, making generated content more like yourself.
🔟 Prompt Management Reminder Agent
Prompt example:
"As my AI usage habits coach, please remind me weekly to【check for low-value prompts that are wasting time】,【identify new prompts that need review and improvement】, and【test new efficient prompts】to help me continuously optimize AI usage efficiency."
➡️ Scenario usage: Continuously refine prompts over the long term to maintain a high ROI usage curve.
In summary: Using AI as a "cognitive enhancer + insight amplifier + intelligence assistant" is the most cost-effective approach.
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