Revolutionizing Web3 with AI Agents

AI agents are not a narrative — they are already replacing human roles in production Web3 stacks. ChainAware co-founder Martin and UniLend Finance discuss how AI agents automate compliance, growth, and user experience in DeFi — and why protocols that wait for the trend to mature will be too late.

Web3 AdTech and Fraud Detection — X Space with Magic Square

ChainAware co-founder Martin joins Magic Square to discuss Web3 AdTech and fraud detection for the real economy. Covers ChainAware’s origin from SmartCredit credit scoring through to fraud detection, rug pull prediction, wallet auditing, and Web3 AdTech — and why custom AI models, not LLM wrappers, are the only defensible IP moat in Web3.

AI Agents in Web3: From Hype to Production Infrastructure — X Space with ChainGPT and Datai

ChainAware co-founders Martin and Tarmo join Datai and ChainGPT Labs to map what Web3 AI agents actually are and what they already do in production. Covers ChainAware’s two live production agents — Web3 marketing agent and behavioral fraud detection agent — alongside Datai’s data infrastructure and ChainGPT’s incubation model.

Intention-Based Web3 AdTech: The Invisible Hand That Will Take Web3 Mainstream

99% of Web3 marketing is still mass marketing — same message to every wallet, high CAC, low conversion. Intention-based AdTech reads each wallet’s on-chain behavioral history to predict whether it will trade, stake, lend, or farm — then delivers the right message automatically. This guide explains why intention-based marketing is the invisible hand that will take Web3 mainstream.

Crossing the Chasm in Web3: How AdTech Will Take Web3 Mainstream

KOL marketing brings untrackable reach. Web3 AdTech brings wallet-behavioral targeting and measurable conversion. Based on an X Space with ChainAware and guests, this guide compares both approaches head-to-head — covering ROI, user quality, CAC, and why the sustainable path to Web3 mainstream adoption runs through intention-based targeting, not influencer spend.

AI-Based Web3 AdTech: How to Cross the Chasm and Slash Customer Acquisition Costs

Web3 AdTech built on blockchain behavioral data is structurally superior to Web2 AdTech built on cookies and search history. X Space #15 with ChainAware co-founders Martin and Tarmo covers why this superiority exists, how it slashes customer acquisition costs, and why it is the specific mechanism that takes Web3 from 50 million users to mainstream.

Unit Costs: The Formula That Wins Markets — Why Web3 Must Solve Acquisition Cost to Survive

Every Web3 project has two unit costs that determine survival: the unit cost of business process and the unit cost of user acquisition. DeFi solved the first brilliantly. It has almost entirely ignored the second. X Space #14 with ChainAware co-founders Martin and Tarmo explains why solving acquisition cost is the formula that wins Web3 markets.

AGI vs LLM: Why Bigger Models Won’t Get Us to Artificial General Intelligence

AGI does not exist and scaling LLMs will not produce it. X Space with ChainAware co-founders Martin and Tarmo explains why this distinction matters for Web3 founders and investors evaluating AI projects — and how to separate real utility AI from AGI hype that inflates valuations without delivering measurable results.

High Conversion Without Paying KOLs: How Intention-Based Marketing Transforms Web3 Growth

KOL campaigns bring airdrop farmers, not buyers. The only path to 20–30% conversion rates without KOL spend is replacing mass marketing with wallet-behavioral intention targeting. X Space #12 with ChainAware co-founders Martin and Tarmo covers the mechanics, the data, and how to implement intention-based marketing from day one.

Vitalik’s AI and Crypto Paper: A Use-Case Reality Check — What Actually Works on Blockchain

Vitalik Buterin correctly identifies fraud detection and on-chain security as the highest-value AI and blockchain convergence — but underestimates what is already live and deployable today. X Space #11 with ChainAware co-founders Martin and Tarmo analyses Vitalik’s essay use case by use case and maps what is real versus what remains theoretical.