Chapter 1: The End of the Trust Paradigm and the Rise of AI Sovereignty

1.1 Trust migration in the global trading system: from human governance to code

Over the past two centuries of financial history, the essence of trust has been “intermediary credit.” Whether in traditional banks and brokerages or centralized exchanges in the Web2.0 era, the baseline security of user assets has always depended on specific institutions’ brand credibility, compliance commitments, and the ongoing game against managerial moral hazard.

Yet—from recurring banking crises to the collapse of major platforms in crypto—a series of black-swan events has revealed a foundational truth: under human-governed systems, the security of user assets is inherently fragile.

• Black-box risk: Account balances are merely numeric mirrors in a database. Whether assets have been misappropriated or whether risk exposure is overloaded cannot be verified in real time by external parties.
• Asymmetric permissions: In centralized liquidity games, platforms hold complete order flow, settlement rights, and system interpretability. Ordinary participants are at an absolute disadvantage in trading fairness.

As blockchain technology evolves from a “ledger experiment” into a “global settlement layer,” the financial system is undergoing a profound trust migration: the basis of trust is no longer institutional promises, but on-chain verifiable code logic.

The birth of OG Agent signals that this migration has entered the Web4.0 agent era: assets are not only held on-chain—their value-added logic, execution paths, and value distribution are also fully delegated to AI.

1.2 The physiological limits of traditional investing: proof of the failure of intuition games

For a long time, retail investors have occupied the bottom of the “death spiral” in financial markets. This failure is not accidental—it is an inevitability determined by human physiological constraints.

• Emotional load: Greed and fear distort decision-making under extreme market conditions. Studies suggest that 90% of manual, screen-watching decisions miss optimal take-profit or stop-loss points due to emotional interference.
• Cognitive bandwidth: Global markets run 24/7. Tens of thousands of assets shift moment by moment. The human brain cannot process fragmented arbitrage signals across chains and markets at millisecond speed.
• Competitive downshift: When top institutions are fully equipped with HFT and AI pricing models, traditional investors who still rely on intuition and manual clicks are effectively using biology to fight an industrial-grade AI cluster.

OG Agent proposes to “end intuition” to help users break free of biological constraints and delegate trading intent to an AI agent with cold rationality.

1.3 The Web4.0 paradigm: intent-based trading (Intent-Based Trading)

The core feature of Web4.0 is a shift from “interaction-driven” to “intent-driven.” In traditional wealth management or trading, users must manually handle: finding liquidity → computing slippage → choosing a cross-chain bridge → executing orders → monitoring risk control. This process is full of technical barriers and transaction costs.

Intent-based trading completely rewrites this logic:

• Minimal interaction: Users only need to express an investment intent—profit targets and risk preferences.
• Intelligent decomposition: OG Agent’s AI expert cluster automatically parses intent and converts it into an optimized path of executable instructions.