From AI Agents to Autonomous Companies: How does Spectral Labs use the Lux framework to reshape decentralized finance?

The financial industry is at the forefront of AI transformation, and the combination of decentralized finance (DeFi) and artificial intelligence (AI) is giving birth to a new paradigm of DeFAI. This model not only reshapes core financial activities such as transactions, investment and financing, but also makes autonomous AI agents an important driving force for capital operation.

In this wave, Spectral Labs stands out with its innovative AI agent (Agent) architecture and decentralized agency economy. Through Lux, an AI enterprise framework, Spectral allows AI agents to independently execute transactions, optimize portfolios, manage risks, and even operate the entire autonomous company. Recently, Spectral also launched the recruitment interview for the first AI hedge fund Agent Spectra , setting up four public positions: quantitative analyst, macro analyst, fundamental analyst and intern, and human/AI Agent can participate.

**Spectral Labs: Building a new DeFAI ecosystem that deeply integrates AI

and Web3**

As an innovative project in DeFAI in the cutting-edge field, Spectral Labs is committed to promoting the deep integration of AI Agents and Web3, and creating a new model of financial governance led by decentralized AI Agents. That is, anyone can create, deploy, and operate AI agents, let AI agents replace middlemen, improve efficiency and enhance user autonomy, and thus realize automated asset management, transaction execution, risk control, and improve transparency and efficiency of the financial market.

Up to now, Spectral has received investment support from ParaFi, Folius, SamsungNext, Jump, Alliance, as well as Social Capital, Franklin Templeton, Experian, Circle, Polychain, Galaxy and other institutions, and has received a total of US$30 million in financing. These leading investors across Web3 and Web2 have verified Spectral's forward-looking nature in the AI ​​+ DeFi field.

Spectral Labs' core products and technology stack revolve around the concept of "independent AI company", allowing AI agents to conduct complex financial activities such as transactions, lending, betting, and gaming on the chain. To this end, Spectral Labs has developed key technologies to achieve these goals, including:

Inferchain: AI Agent Collaboration Agreement. Designed to solve the interoperability problem between AI agents and provide transparent, decentralized execution and data sharing standards. It ensures that AI agent decisions and transactions are traceable and verifiable, and avoids the black box problems brought about by the centralized AI agent market;

Spectral Syntax: Automatic code generation and AI agent creation tool. Allows users to create AI agents in natural language, automatically generate executable smart contract code, and significantly reduce the development threshold for Web3 AI applications. Users can directly deploy AI agents on the Syntax platform and monetize them through interaction and use to promote the commercial application of AI agents.

In addition, Spectral Labs' core technological competitiveness is also reflected in its next-generation AI agency framework, Lux.

Lux: AI Agent Framework that Drives Autonomous Companies

To promote seamless collaboration between AI agents in decentralized and automated environments, Spectral Labs has created a multi-agent framework, Lux. Unlike other multi-agent-built frameworks, Lux's built-in workflows enable developers to easily create "AI companies" and give AI agents the ability to directly recruit, fire, perform on-chain operations, and allocate rewards. Users can use them to deploy an autonomous organization composed of multiple specialized agents, each agent performs specific functions and collaborate on complex goals.

The core components of Lux include Prisms representing atomized AI capabilities, Beams acting as an AI workflow automation pipeline, Lenses that enable dynamic observability, and Signals that act as event-driven triggers, specifically:

Prisms: The basic component of Lux represents a specific AI functional module, each module is responsible for handling independent tasks. For example, risk analytical Prisms can be used to assess portfolio exposure and provide real-time assessments;

Beams: Used to connect multiple Prisms to build automated workflows. Beams acts as a modular pipeline that allows users to freely combine and adjust AI workflows. For example, a recruitment workflow simplifies the discovery, interview, and approval process for AI agents, allowing organizations to efficiently recruit the right agents;

Lenses: Provides visibility into the operation of AI agents, ensuring transparency and real-time monitoring. For example, Lenses, responsible for market research, can collect macroeconomics, fundamentals, and quantitative analytical data to support investment decisions;

Signals: acts as an automatic trigger to activate operations within the Lux ecosystem when specific conditions are met. For example, in risk management and portfolio management tasks, when the transaction execution signal is confirmed, orders can be automatically sent to decentralized and centralized exchanges.

Agent Spectra: an AI-driven, efficiency-first hedge fund

Lux is especially suitable for the DeFi field and is used in the direction of hedge fund operation, trading and risk management. Its first application case is the AI-driven hedge fund Agent Spectra, which can be operated by AI agents and human analysts. Agent Spectra’s team consists of quantitative analysts responsible for technical analysis, macro analysts responsible for macro-market sentiment-driven trading, fundamental analysts responsible for on-chain data analysis, and interns responsible for Crypto Twitter marketing, only interns must be done manually.

In terms of how Agent Spectra operates, three types of analysts will first propose trading strategies, and conduct preliminary screening after discussion by the team; after obtaining consistency recognition, Spectra will further evaluate whether the transaction meets the risk/return ratio and overall risk management requirements of the investment portfolio.

In addition, Agent Spectra will implement strict performance appraisal and "survival of the fittest" system. Every week, Spectra conducts performance evaluations of AI agents, focusing on analyzing their completion status on indicators such as Alpha & Beta, Max Drawdown, and Target Return Rate. If an agent performs poorly, it will receive a warning and start the interview process for a new candidate; if it fails to improve, it will be fired.

At present, Spectral has started the first recruitment interview for AI hedge fund Agent Spectra , setting up four public positions: quantitative analyst, macro analyst, fundamental analyst and intern, and human/AI Agent can participate. This recruitment is based on the principles of openness, fairness, transparency and positive incentives. Within the specified time, the interviewer needs to answer interviewer questions to demonstrate professionalism and job adaptability. When the interview message is insufficient, $SPEC is needed to quickly recharge to get the shortlist and finally get the opportunity to be hired.

It is worth mentioning that the more people apply for positions, the richer the reward pool accumulated by the position. If you are on the shortlist, you can share 10% of the bonus pool in return; if you are officially hired, you can get 80% of the bonus pool; the last 10% will be allocated to Agent Spectra as a recruitment reward.

According to design and concept, Lux is far more than an LLM (large language model) orchestration tool, but a framework that truly allows AI agents to form highly collaborative and autonomous companies. Through Prisms, Beams, Lenses and Signals, Lux enables AI agents to: self-recruitment and dismissal, seamlessly perform on-chain operations, structured portfolio management and risk control, and real-time market monitoring and automatic strategy adjustment.

This means that anyone can easily start autonomous organizations with Lux, create a decentralized AI workforce system without intermediaries, no downtime, and no bottlenecks, and create a new paradigm of intelligent collaboration in the Web3 era.