The Crypto Atlas

AI agents in crypto are evolving from copilots to autonomous economic actors with on-chain identities, crypto payment rails, and legal standing — here's how the technology, risks, and infrastructure stack up.

Cap combines reserve-backed cUSD with yield-bearing stcUSD. Approved borrowers access reserve assets against slashable underwriter collateral; this guide covers minting, redemption, liquidation, CAP governance, controls, and risk.

Retail crypto is evolving from direct token speculation into a broader market for regulated funds, tokenized assets, automated trading tools and payment rails. Wider access matters, but leverage, custody and information gaps still determine who benefits.

Prediction markets let traders buy contracts tied to future outcomes, functioning as real-money probability aggregators. From Polymarket's election boom to Schwab's S&P 500 wagers, the sector is exploding—amid regulatory battles over sports betting, CFTC jurisdiction, and oracle infrastructure gaps.

In-depth explainer on a16z’s role in crypto, covering its funds, theses on money flows and tokenization, policy pushes on stablecoins and CLARITY, research on prediction markets and consensus, and how it bridges onchain finance with AI agents.

Deep explainer on how research works in crypto and AI: from on-chain data, DeFi and lending gaps to agentic trading, institutional reports and DYOR in an AI age, with Bitcoin, Ethereum and next-gen chains as case studies.

Deep dive explainer on real-world assets (RWAs) in crypto: how tokenization works, key market segments, RWA stablecoins and yield, institutional adoption, DeFi use cases, and the legal, market, and technical risks shaping onchain capital markets.

Explainer on SWIFT’s role in global banking and its growing links to crypto, covering gpi, ISO 20022, Chainlink pilots, stablecoins and sanctions, and how hybrid SWIFT–blockchain systems will shape cross‑border payments and tokenized assets.

Crosschain infrastructure connects isolated blockchain networks so assets and data can move freely. This explainer covers bridge models, USDC/CCTP, Chainlink, intent protocols, security risks, and the developer tooling shaping multichain DeFi in 2026.

Tesla is an AI, autonomy, and energy company that manufactures EVs — now accessible on-chain via tokenized equity platforms — with its bull case riding on FSD robotaxi economics and custom AI chip development.

Crypto dominance tracks market-cap share, chain activity, and issuer concentration across Bitcoin, stablecoins, and smart-contract networks — a key metric for reading cycles, regulatory risk, and where structural power is shifting.

In-depth explainer on how North Korea’s DPRK apparatus targets crypto via Lazarus hacks, TraderTraitor bridge exploits, IT worker infiltration and laundering, and how sanctions, law enforcement and DeFi governance are responding.

Deep explainer on large language models in crypto: how LLMs work, their role in research and trading agents, key infra and cost trends, and the security and governance risks shaping AI-native DeFi.

Deep dive on CoW (COW): the MEV-aware DeFi stack behind CoW Swap, CoW Protocol, CoW AMM and CoW DAO, covering architecture, token governance, liquidity design, integrations, risk, and long-term outlook for traders, LPs and builders.