Applied AI

privacy • zk proofs • deAI • crypto research Decentralized AI Chatbots: Privacy-Focused Tools for Crypto Research Crypto research has a new tension: you want fast answers, but you do not want to leak intent. Your queries reveal what you are about to buy, sell, bridge, claim, or deploy. In a market full of surveillance, […]

AI agents • Automation • On-chain safety Best AI Crypto Agents: Secure Pipelines for On-Chain Automation and Scam Detection AI crypto agents are quickly becoming the default interface for trading, research, and on-chain operations. The promise is real: autonomous execution, faster risk checks, smarter routing, and continuous monitoring. The danger is also real: an “agent”

Hybrid Meme-ICO Launchpads: AI-Driven Safety Scanners for Viral Token Drops Meme tokens made fundraising feel like entertainment. ICO-era mechanics made fundraising feel like finance. Hybrid meme-ICO launchpads are trying to fuse both: viral community energy on the front-end, and “compliance-shaped” processes on the back-end. The pitch is tempting: community-led launches that move fast, raise funds

AI Agents on Solana: Drag-and-Drop Tools for Token Research and Automated Trading Solana is becoming a natural home for agent-driven crypto workflows: low fees, fast settlement, and a culture of shipping consumer-grade UX. The biggest shift is not “another bot.” It is a new workflow layer: drag-and-drop pipelines that collect signals, run checklists, track narratives,

AI Agents in Crypto: Building Drag-and-Drop Pipelines for Token Research AI agents are changing how token research is done. Instead of reading scattered dashboards, scrolling endless feeds, and manually cross-checking wallets, you can build a repeatable pipeline that pulls signals, validates risks, tracks narratives, and produces a clear decision memo you can act on. This

AI for On-Chain Data Analysis: Tools and Tutorials (From Raw Blocks to Actionable Signals) On-chain data is the closest thing crypto has to a public truth layer: transactions, transfers, liquidity events, governance votes, contract calls. But raw data is noisy. It is also massive. And most teams still analyze it like it is 2019: manual

AI-Powered Portfolio Management for Crypto Investors: A Practical Guide to Smarter Allocation, Risk Control, and Automation Crypto portfolios break most “traditional investing” assumptions. Volatility is higher. Correlations shift faster. Liquidity can disappear during stress. Tokens can rug, depeg, or get bridged into a fake asset without you noticing until it is too late. This guide

AI in Airdrop Hunting: Automated Qualification Checkers Airdrops are not “free money.” They are incentive programs with rules, scoring systems, and eligibility filters. The problem is not the concept. The problem is execution: information is scattered, requirements change, scams imitate real campaigns, and most people track progress with screenshots and guesswork. This guide shows how

Advanced MEV Strategies for Retail Traders Using AI Tools MEV, Maximal Extractable Value, is not only a “bot problem.” It is a market structure problem. It shows up as unexpected slippage, failed transactions, price spikes that appear out of nowhere, and trades that execute a few ticks worse than they should. If you trade onchain,