no-code AI arrives on Web3 thanks to Eliza Labs

Eliza Labs launches auto.fun, a new no-code platform to create intelligent agents capable of operating on Web3. Designed for users without technical skills, it opens up innovative scenarios in the automation of finance and social networks.

Tokenomics, accessibility, and transparency: the auto.fun ecosystem of Eliza Labs aims to revolutionize interaction with AI

The future of decentralized artificial intelligence is called auto.fun.

This is the name of the new platform launched by Eliza Labs, a project that promises to democratize access to artificial intelligence making it usable even by those who do not have programming knowledge. 

Auto.fun indeed allows the creation, activation, and monetization of AI agents through a simple and intuitive no-code interface, designed to integrate with the Web3 ecosystem.

The official announcement arrived on April 17 and has already attracted the attention of users and developers interested in automation in the world of decentralized finance (DeFi), social media, and blockchain services.

The objective of auto.fun is clear: to simplify the interaction with complex technologies such as artificial intelligence and Web3, allowing anyone to build and use digital agents capable of performing autonomous actions. 

The project originates within Eliza Labs, already known for the development of the ai16z framework for AI agents, and is based on an open source architecture guaranteed by the elizaOS system.

According to Shaw Walters, founder of Eliza Labs,

“the vision of auto.fun is to put the power of AI in the hands of users, allowing agents to operate independently on various Web3 protocols on behalf of their creator.”

The intelligent agents of auto.fun can be configured to perform a wide range of operations. Among the most interesting, we find:

• Management of yield farming strategies
• Automation of crypto portfolios
• Management of social profiles on decentralized platforms
• Trading activity and market monitoring

The platform initially aims to integrate with X (formerly Twitter) for social features, but support for blockchain games, advanced DeFi applications, and other on-chain services is also expected soon.

A practical example? The user can simply write:

“Find me staking opportunities with over 12% APY and automatically allocate the funds”

The AI agent will execute the command in complete autonomy, according to the predefined instructions.

Education and usability at the center

Eliza Labs has placed particular emphasis on accessibility, integrating educational paths and guided instructions into the process of creating AI agents, including “bull” and “bear”. 

The objective is to help users make informed decisions and understand the risks associated with the use of these tools.

As stated by a company spokesperson, “auto.fun is designed to be simple, but also responsible. Every stage of creating an agent is accompanied by suggestions, warnings, and tutorials to ensure user safety.”

Another distinctive element of auto.fun is the token launch system defined as “more fair than fair.” 

This is a hybrid model based on bonding curves, developed in collaboration with Raydium, which allows teams to reserve up to 50% of the supply before listing, while ensuring a transparent distribution on the market.

The bonding curves, common in DeFi protocols, allow for dynamically determining the price of a token based on its availability. In this way, automatic liquidity is achieved without the need for traditional order books.

According to Eliza Labs, this solution “makes launches more sustainable” compared to classic models, which often leave founders with scarce resources and favor speculative dynamics driven by bots. 

The new system aims instead to balance incentives and control, maintaining a solid foundation for post-launch development.

Among the first agents available on auto.fun we find:

• FightFi, a suite of social agents that compete with each other using exclusive tokens to access premium features.
• Secret, an agent specialized in the launch of tokens on the Solana blockchain.
• Sigma Music Agent, designed to connect artists and fans in an automated way through AI.
• Astra, which manages cross-chain payments between Ethereum, Solana, and Bitcoin’s Lightning Network.

These examples show how the auto.fun ecosystem is not just a technical platform, but a true collaborative environment where intelligent agents can interact with each other and with the blockchain world.

Transparency guaranteed by open source

Finally, auto.fun stands out for its open source philosophy: every agent is verifiable, and users can inspect the code and the ways in which the data is used. 

A choice aimed at consolidating trust and responsibility, two fundamental elements in a sector where automation and decentralization must necessarily go hand in hand.

With auto.fun, Eliza Labs opens a new path for the interaction between artificial intelligence and Web3, placing the user, transparency, and accessibility at the center. A bold vision that could change the way we think about automation in the coming years.