Genlayer offers a new approach for AI agent transactions: received multiple LLMs to vote on a suitable contract

We have heard a lot about AI agents -tools that are operated by generative AI models that can perform actions without a lot of human surveillance or intervention.

But they still remain a new curiosity for most people, and as far as we can assess, very few people trust AI agents to buy or complete contracts on their name.

GenlayerA startup only from Stealth is of the opinion that it has a technology that gives the AI agent economy the lack of “trust” component.

The idea of Genlayer is a blockchain-driven infrastructure with which AI agents can design contracts, conclude payments and autonomously carry out agreements.

Last autumn the company announced 7.5 million US dollars Remarkable investors, including Arthur Hayes (Melstrom), Arrington Capital and North Island Ventures, to bring this vision to life.

https://www.youtube.com/watch?v=vjehjg1x6h4

How to trust AI agents for people – and to trust each other

AI agents already prove their ability to analyze data, do business and manage assets, but there is a fundamental problem: they do not trust in nature. In contrast to humans, AI agents do not fear complaints or reputation damage – how can they enforce agreements?

Albert Castellana, CEO of Yeagerai (the company building Genlayer), sees this as a critical mistake in today’s AI development.

“Even in a situation in which they have agents who can do the trade between themselves, how do they trust each other?” Castellana recently said in an interview with venturebeat. “Ai does not sleep, AI works worldwide, AI cannot go to prison. The legal system will have a major problem with this kind of situation. “

Conventional smart contracts that operate blockchain-based transactions are too rigid for an AI-controlled trade.

You cannot process structured data, understand complex language or adapt to changes in the real world.

Genlayer wants to upgrade intelligent contracts in “intelligent contracts” upgraded, flexible agreements operated with AI that work similarly to human contracts.

In contrast to conventional blockchains, in which external oracles have to access off-chain data, Genlayer AI integrates directly at the protocol level. Intelligent contracts can access live web data natively, process natural language inputs and reason for complex, real conditions-without relying on the services of third-party providers.

“Blockchains enable self -reinforcement contracts, but have restrictions,” said Castellana. “You cannot connect to the outside world, you cannot understand structured data. But AI needs contracts that are much more like human contracts – fast, cheap and adaptable. “

Genlayer solves this with “optimistic democracy, an AI-controlled consensus model, in which several validator jewels coordinate different major language models (LLMS) -Thar about whether a contract or a decision is valid with AI producers. This ensures that not a single AI model has control and prevents manipulation.

“We have created a blockchain in which validators, even if they receive different answers from AI or Internet, can still achieve consensus,” said Castellana. “It is basically a court system for the future of trade.”

How Genlayer’s approach works

In its core, Genlayer acts as a native of trust-and-independent system, which ensures that AI agents work fairly in financial transactions, contract execution and dispute resolution.

The most important functions include:

• Intelligent contracts: AI-operated agreements, process the natural language and access live web data.
• AI-controlled decision making: A consensus model in which several AI models coordinate the results to ensure reliability.
• Optimistic democracy: A blockchain-based governance model that prevents AI manipulation by using decentralized decision-making.
• Interoperability on chains and chain: The possibility of combining intelligent contracts with real data and internet sources.
• ZKSync integration: Scalability, low costs and security at Ethereum level.

At the center of Genlayer is the “optimistic democracy”, an improved DPOS model (Delegated Proof of Stake), which integrates AI directly into the blockchain validation. Instead of relying on a deterministic logic, Validators establish a connection to LLMS to process natural language, interpret data and carry out complex decisions.

When a transaction is submitted:

1. A leader Validator processes the request and suggests a result.
2. A number of validators record the transaction independently of one another and confirm the leader’s proposal.
3. If the majority agrees, the transaction is complete. If not, a new ladder is selected and the process is repeated.

This mechanism prevents manipulation and ensures that the decisions of AI-generated and more by the judgment of a single company are supported by consensus.

Inspired by Condorcet’s jury theorem -E mathematical and political theory of the 18th century of the Marquis de Condorcet, which says that a jury is more likely to make a correct decision with more participants, the AI issues over several validators, which ensure that legal contracts, even for non-detective tasks, ensure that the fairness and reliability are checked, even for non-detection Transferred legal contracts, or the determination of data or determining data on dynamic prices.

The approach is described in A White paper Published by Genlayers Three co-founders castellana, José María Lago and Edgars Nemše. You can find it embedded below.

Why Genlayer believes that his moment has arrived

The race to create autonomous AI companies accelerates. Companies such as Openaai organize AI agents who can work independently, but they still rely on slow, human-controlled legal and financial systems.

“AI won’t wait for lawyers,” emphasized Castellana. “If we want AI participate in the economy, we need an infrastructure that corresponds to its speed.”

Other startups deal with transactions with AI agent Skyra And Kiefer Ai – But Genlayer follows a different approach. Instead of concentrating on building AI agents themselves, Genlayer creates the layer of trust that enables them to complete.

“There are 100 startups on AI agents,” said Castellana. “But trust requires a third party. We build this third – the infrastructure that enables an AI trade. “

Genlayer introduces a native gas token called gen. Users pay transaction fees in genes, which are then distributed as a reward for their services to the validators.

This approach ensures that AI-controlled transactions remain quickly, inexpensive and self-supporting. In addition, Genlayer’s token-based push-up model is aligned with rewarding honest validators and punishing bad actors through slashing mechanisms.

What’s next?

The Genlayer tests starts early projects that are on:

• AI guided supply chains This negotiates logistics autonomously.
• AI-operated influencer marketing Where payments are performance -based.
• Decentralized financial applications This uses AI for the trade version.
• Autonomous decentralized autonomous organizations (Daos) This adaptation of governance based on real-time community feedback.
• AI-operated insurance and lending This adapts the terms based on external risk factors.

The company will introduce its technology Ethereum Community Conference (ETHCC8) takes place on June 30th to July 3. in Cannes, France.

The AI economy comes – but without trust it will not scale it. Genlayer rely on the fact that AI-controlled contracts that are enforced on the blockchain will be the basis for a mechanical marketplace for trillion dollar.

“We build the legal framework for global AI trade,” said Castellana. “This is about enabling AI, working together, not only faster, but also with trust.”