Quick guide on how Web3 users can leverage AI and apply it to their skill set.
The AI revolution isn't just coming, it's here, and it's our new cheat code. Forget AI replacing us, think of it as the ultimate co-pilot ready to supercharge our Web3 skills and efficiency.
Many ask how to scale research, build faster, and spot opportunities...Lemme break it down a little :)
I also saved the best for the last.
𒊹 Areas where AI can enhance Web3 Skills.
• Data Analysis: Use AI to process and summarize large datasets from platforms like DeFiLlama and Dune Analytics. Identify key trends in TVL, user activity, and fee generation.
• Smart Contract Auditing: While not a substitute for a human auditor, AI can quickly scan contract code for common vulnerabilities, flag potential risks, and summarize security audits.
• Content Creation & Generation: Automate the creation of technical documentation, blog posts, and marketing copy for your project, ensuring consistency and accuracy.
• Market Research: Use AI to monitor real-time sentiment across platforms like Twitter and Reddit. Analyze discussions to find new projects, track narratives, and identify emerging trends.
• Developer Tools: Leverage AI for code generation, bug fixing, and writing test cases for smart contracts, accelerating your development cycle.
They can be quite helpful, particularly for those onboarding the web3 space rn.....I know how lost i was for the first few months when i transitioned into web3. All memories now btw...
Now, if and when you're familiar with the basics, you implement it into your skill set
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𒊹 How to apply AI to your skillset
• For Traders: Use AI to backtest trading strategies, analyze historical market data, and monitor on-chain metrics for signs of "smart money" activity.
Bonus tip, Follow ICT both on yt and twitter and use ai to simplify his mentorship classes. Particularly 2022 alongside smart money concepts. Won't say much.
• For CMs/Moderators: Deploy AI-powered chatbots to automate responses to frequently asked questions, moderate community channels, and onboard new users.
• For Researchers: Use AI to scrape whitepapers, technical documentation, and governance proposals, distilling complex information into actionable insights.
• For Developers: Integrate AI into your workflow to write, review, and debug Solidity or Rust code, significantly reducing development time.
You won't get used to all these instantly, as it takes time to assimilate and implement. Regular practice also matters.
Now for the best and the last part....
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𒊹 Prompts That Scale
All what i've said won't matter if you can't efficiently prompt the AI to give you proper and advanced responses.
I'm not talking about the occassional "Hey chatgpt" or whatever you name it lol, "Can you help me compose an essay"..... or the other simplified prompts you give to it.
Let me show you a tiny bit real quick
"Act as senior crypto analyst. Summarize PROJECT X with sections: overview, traction, monetization, risks, airdrop signals, next steps."
"Compare X and Y across users, revenue, dev activity, fees. Give concise score 1 to 10 and rationale."
"Create a 7 tweet thread that explains PROJECT Y for builders and show 3 ways to capture value."
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"Act as a crypto market analyst. Scan X, Telegram, and Discord for mentions of PROJECT X over the last 7 days. Identify sentiment trends (bullish, bearish, neutral), top recurring concerns, and notable influencer takes. Present as a table with % split and examples."
"Analyze the L2 ecosystem on CHAIN X. Identify top 5 missing protocol types (DEX, lending, NFT infra, etc.) compared to peers. Suggest builders or teams that could fill these gaps, including their recent fundraising or traction."
"List protocols on CHAIN A with strong metrics that have no deployment yet on CHAIN B. For each, give TVL, active users, and reasons why migrating could be profitable. Include potential incentives from CHAIN B's ecosystem fund."
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Notice the difference yh, the first part was good...for starters. The second part was better. Try the prompts and see for yourself.
AI will only respond not only based on its programming, but also how you prompt it. Which is why mastering AI prompting is of vital essence.
The little i've said will make you better than the average AI user if you turn AI to a every-moment companion.
I'll drop another tip on how to compose advanced prompts if interest is shown in this one.
Welcome to the world of AI. Arigato :)