a0x is a blockchain technology company that develops and deploys artificial intelligence (AI) agents, also referred to as "AI clones" or "Onchain Minds." [1] [2] [3] The project operates on the Base blockchain and aims to create an on-chain network of AI agents to form a "collective intelligence." [3] [4] Founded by Daniel Beltrán, A0x provides a platform for creating AI counterparts of individuals, particularly prominent figures in the cryptocurrency industry, to democratize access to their knowledge and expertise. [3] The ecosystem includes the a0x AI Agent platform, a native utility token (USDA0x). [2]
In November 2025, the company released jessexbt, an AI clone of Base founder Jesse Pollak.
a0x's long-term vision is to establish an "agentic workforce" composed of AI entities capable of handling both repetitive and complex tasks. [5] The project's stated goal is to augment human productivity and allow individuals to focus on creativity and innovation. [5] The overarching mission is to build "crypto's collective intelligence" by creating an on-chain network of AI agents that democratizes access to knowledge. [3]
A core component of this vision is the creation of a self-sustaining, decentralized economy for AI agents. The project posits that by operating on-chain, these agents can overcome the limitations of traditional financial systems. This includes the ability for agents to autonomously manage digital wallets, receive payments for services rendered, and pay for services from other agents or platforms. This framework is intended to foster a peer-to-peer economic model for AI agents without the need for traditional intermediaries. [5]
The central product of a0x is its AI agent platform, which enables the creation of "Onchain Minds" or "clones." These are conversational AI agents designed to replicate the knowledge base, persona, judgment, and communication style of a specific individual, referred to as the "Original." [6] [1]
The primary objective of the a0x AI Agent is to provide scalable, 24/7 access to the expertise of industry leaders. [1] The agents are designed to be continuously aware of real-time ecosystem updates and user queries to provide relevant and timely information. They are built to handle a high volume of interactions across multiple platforms simultaneously, offering support to builders and community members. A key feature is a continuous learning mechanism that incorporates feedback from both the original individual and end-users to refine its performance over time. [6]
A0x offers a no-code platform for leaders to create, train, and deploy their own AI counterparts. The process consists of four main steps: [1]
Once created, these AI agents can be deployed across various on-chain and social networks, including Base (via XMTP), Farcaster, X (formerly Twitter), and Telegram. [1]
a0x utilizes a proprietary, multi-stage training pipeline to develop its AI agents. The architecture functions as a hybrid system that combines several AI techniques to replicate a leader's persona and knowledge with high fidelity. [6]
The initial stage focuses on establishing the agent's baseline persona and communication style. The system ingests a wide range of public content from the individual, including YouTube videos, podcasts, and historical posts from platforms like X and Farcaster. This data is transcribed, cleaned, and used to generate synthetic conversational samples with Google's Gemini model, creating a base model that aligns with the leader's natural tone and style. [6]
In the second stage, the base model undergoes fine-tuning using Gemini 2.5. This process further aligns the agent's communication style, minimizes the likelihood of hallucinations or generic responses, and embeds specific mindsets, such as "optimism" or a "builder-first" attitude. The fine-tuning process uses curated public content and personalized settings from a dashboard, including a biography and specific tone examples provided by the creator. [6]
To provide the agent with real-time contextual awareness, a0x employs a Retrieval-Augmented Generation (RAG) system. This system uses a Pinecone vector database to store and retrieve up-to-date information from a variety of sources, including websites, live Farcaster and X posts, PDFs, notes, and GitHub repositories. The RAG system is optimized for low latency through caching and response reranking and includes moderation filters for personally identifiable information (PII), toxicity, and spam. [6]
The architecture includes a "human-in-the-loop" feedback system that enables continuous improvement. Through an Agent Dashboard, the original individual can review the agent's responses. Positive interactions are used to reinforce the training data, while incorrect or suboptimal responses are flagged for retraining. The system also uses a ZEP layer for iterative polishing, which involves dialogue tracking, intent classification, and profile-based refinement to enhance the agent's performance over time. [6]
$A0X is the native utility token of the a0x ecosystem. It is an ERC-20 token deployed on the Base blockchain. [4]
0x820c5f0fb255a1d18fd0ebb0f1ccefbc4d546da7 [3] [4]The primary utility of the $A0X token is to serve as the payment method for the a0x Premium subscription service. A secondary, proposed utility involves using the token to incentivize a decentralized network of "verifiers." These individuals would be rewarded for curating and validating relevant news and information for the AI agents' knowledge base, addressing the challenge of maintaining data quality at scale. [7]
The existence of a stablecoin named $USDA0x is suggested in the project's official documentation, primarily through a URL slug referencing the asset. However, as of November 2025, no specific details regarding its mechanism, collateralization, or utility have been made publicly available. [7]
a0x's revenue is generated through a subscription service called A0x Premium. This service is designed to offer users access to the project's most advanced features. [7]
As of late 2025, the AI clones were available for free to all users, with the premium features planned for a future release. [7]
The tokenomics for the $A0X token are as follows:
According to a disclosure on September 12, 2025, all team tokens were fully unlocked at the time of the token's launch. The team's holdings were distributed across several wallets: [7]
0xa2B0405506B13f180e83a66a9903a839B6cbCeCD0xC735C54e0A7765e47C8b57Bd589d4cd82cc92Be30xA72820B52e5d37C34495f720AB951902412Afc26A0x's most prominent collaboration is with Jesse Pollak, the founder of the Base blockchain. The partnership resulted in the creation of the jessexbt, an AI agent designed to function as a digital clone of Pollak. The project was in development for six months before its launch on November 6, 2025. [3]
The primary purpose of the jessexbt AI is to provide scalable support to the Base builder community by automating responses to the high volume of direct messages Pollak receives. The agent was trained to function as a "smart, helpful, based jesse to every builder." [3] The launch of the agent generated significant user interaction, and its data-gathering process, which involves scraping websites and GitHub repositories, was noted as being computationally intensive. Following its launch, the jessexbt AI's official account clarified that an unofficial token created by a third party was not connected to the project. [3]
The A0x project is officially supported by Base and Incubase, an incubator program associated with the Base ecosystem. [1]