Development Prospects and Opportunities of the AI Agent Track

Artificial intelligence is developing at an astonishing speed, and the future world will undoubtedly be dominated by AI. If we add one more key element, it is undoubtedly the combination of AI and cryptocurrency.

Currently, AI has entered a new phase: AI Agent. Whether in the realm of imagination or practical application scenarios, AI Agents are worth looking forward to. We need to board this train of the times as soon as possible.

This article documents my learning path in the AI Agent track, hoping to help everyone better enter this field. This is the first part of the AI Agent track introduction guide, aimed at helping readers establish an overall understanding and framework. In the future, we will continue to explore this track in depth, continuously improve, and seize the opportunities brought by the AI wave.

The Essence of AI Agent

Putting aside complex concepts, we can directly compare AI Agents with existing large language models like ChatGPT.

The current large models are more like powerful "natural language search engines", capable of answering questions and providing suggestions, but unable to truly make decisions and execute actions on their own.

The capabilities of the AI Agent go beyond the scope of existing large models, no longer limited to "data processing", but able to complete the entire closed loop from "perception" to "action".

For an intuitive example: if you ask ChatGPT how to invest in cryptocurrencies, it will provide a series of suggestions. However, an AI Agent can track global market information in real-time and dynamically adjust the investment portfolio to maximize returns.

Thus, we can define AI Agent(. An artificial intelligence agent) is a software entity based on artificial intelligence technology that can autonomously or semi-autonomously perform tasks, make decisions, and interact with humans or other systems.

The core difference is: autonomous action.

The AI Agent seamlessly integrates into business scenarios by converting complex logic into precise conditions, returning True or False based on context (.

First is intent analysis: AI will analyze the user's prompts and context to understand the needs, taking into account the user's previous usage records and specific situations, and converting the needs into specific program instructions.

Secondly, it assists in judgment: AI can simplify complex problems into yes or no options, improve decision-making efficiency, and work well with existing business systems.

According to the level of autonomy, AI Agents can be divided into two categories: one acts as a personal assistant to help users handle tasks; the other functions as an independent entity, possessing its own identity or brand, providing services to multiple users.

In summary, AI Agent represents the next development stage of large models and a new product form, containing enormous imaginative space.

The Relationship Between AI Agents and Cryptocurrency

AI and cryptocurrency are not mutually exclusive; the two can be deeply integrated.

Web3's AI Agent is more advanced and complete than Web2's, and can be referred to as "Crypto AI Agent." With the help of cryptocurrency technology, the AI Agent has gained more features:

1. Decentralization: The operation, data storage, and decision-making processes of AI Agents are more transparent and not controlled by a single entity. This addresses trust issues, enabling barrier-free usage, data openness and transparency, and interoperability.

2. Incentive Mechanism: Directly incentivizes developers and users to contribute through a token economic model. This enables the project to obtain cash flow support for development, fostering more innovation.

3. Permanence: Smart contracts enable AI Agents to achieve "immortality". As long as the contract is deployed on the blockchain, the AI Agent can operate automatically according to the rules and can theoretically exist indefinitely.

In contrast, AI Agents require more empowerment from cryptocurrency technology.

Development Stages of AI + Cryptocurrency

The combination of AI and cryptocurrency can be divided into two stages:

) Large Model Stage: Infrastructure

This stage mainly explores the intersection from three dimensions: computing power, algorithms, and data.

1. Computing Power: Utilize a distributed network to acquire more computing resources and attract computing power contributions through a token incentive mechanism.

2. Algorithm: Smart contracts automatically execute AI algorithms, achieving decentralized algorithm execution and enhancing security.

3. Data: Utilize blockchain to manage data permissions and privacy, verify data authenticity, and promote the development of data markets.

Multiple related projects have emerged, such as Render Network ( computing power ), Cortex ### algorithm (, Vana ) data (, etc.

) AI Agent Phase: Application Landing

This stage can be further divided into three development stages:

1. Meme coin phase: Attracting funds and users through wealth effects, injecting momentum into the industry. Such as $GOAT, $Fartcoin, etc.

2. Monolithic AI Application Stage: AI Agents integrate with various niche tracks, such as ai16z( Genesis Project ), ARC### Games (, $NEUR) DeFi (, etc.

3. AI Agent Framework Standard Phase: Provide unified specifications and tools to simplify the development and deployment process. The main frameworks include Eliza, GAME, swarms, ZerePy, etc.

The narrative of AI agents is exploding and may become the "AI Summer" of 2025. We need to seize this rare opportunity and participate in this AI revolution.