aitools

Most people research crypto the hard way — spending hours reading whitepapers, chasing Twitter threads, and still ending up confused.
I do it in 10 minutes. Here's how.
AI won't predict prices. But it will process information 10,000x faster than you can. The real edge in 2026 isn't which coins you hold — it's how fast and how deep you can research before everyone else catches on.
Here are the 5 prompts I use every time I look at a new project.
Prompt 1 — Tokenomics Red Flag Scan
Go to CoinMarketCap or the project's official website and find their tokenomics section. Then open Claude or Perplexity and type this:
"Act as a crypto hedge fund analyst. I'm researching XYZ Token. Their tokenomics: Total Supply 1 Billion, Team allocation 20%, VC allocation 35%, unlock starts Month 6, vesting period 12 months. Flag any predatory vesting schedules, high inflation in year 1 or 2, and VC allocation above 30%. Rate the overall risk from 1 to 10."
Replace XYZ Token with whatever project you are researching and swap in their actual numbers. Bad vesting schedules mean one thing — retail becomes exit liquidity. This prompt catches it before you invest.
Prompt 2 — Developer Activity Check
Open the project's GitHub page and go to the Commits tab. Look at the last 30 to 90 days. Then type this:
"I'm evaluating XYZ Token. Their recent GitHub activity: 3 commits this month — updated README file, changed button color in UI, fixed spelling in docs. Tell me — is this real protocol development or just cosmetic changes? Rate their development health compared to Ethereum or Solana."
Replace the commit examples with what you actually see on their GitHub. One time I avoided a rug pull because the so-called active development was just the team fixing typos. AI caught it in 30 seconds.
Prompt 3 — Smart Contract Quick Audit
Go to Etherscan or BscScan, search the contract address, and click the Contract tab. Then type:
"Act as a senior smart contract auditor. Here is a function from XYZ Token's contract: function mint(address to, uint256 amount) public onlyOwner. Flag any reentrancy vulnerabilities, infinite mint risks, or owner privilege abuse. Explain in simple English."
Swap in the actual function names or code lines you see on Etherscan. You do not need to be a developer. AI explains every red flag in plain language.
Prompt 4 — Sentiment vs Reality Check
Open X/Twitter or LunarCrush and search the project name. Look at recent posts. Then type:
"Here is recent social activity for XYZ Token: 500% increase in mentions this week, mostly posts saying 'next 100x gem' and 'insane utility incoming', very few technical discussions. Tell me — is this genuine community growth or bot-driven hype? What signals suggest real interest vs manufactured buzz?"
Replace the example numbers and post descriptions with what you actually see. This is where most retail traders get destroyed — buying hype, not fundamentals.
Prompt 5 — Final DYOR Report
After running all 4 prompts above, take all the AI responses and type this final prompt:
"Based on my research on XYZ Token — tokenomics risk rated 7 out of 10 due to high VC allocation, GitHub shows mostly cosmetic updates with no core development, contract has an owner mint function which is a red flag, social sentiment looks bot-driven. Give me a final DYOR summary covering team credibility, product-market fit, token utility, and the 3 biggest risks. Be direct."
One clean summary. No noise. Your gut-check before any decision.
The Full Workflow:
Step 1 — Open CoinMarketCap, GitHub, Etherscan, and LunarCrush in separate tabs.
Step 2 — Run Prompts 1 to 4, filling in what you see on each platform.
Step 3 — Feed all outputs into Prompt 5 for your final summary.
Step 4 — Make your decision based on research, not hype.
Total time — under 10 minutes. Claude and Perplexity work best for this. Both free to start.
This is how you research smarter, not harder.
#CryptoResearch #AItools #Write2Earn #AltcoinResearch #perplexity