In-depth exploration of AI agents: What will happen next after the hype?

Author: Outlier Ventures

Compiled by: Felix, PANews

The accelerated integration of AI and decentralized technology infrastructure is completely changing the entire Internet landscape.

This powerful synergy is giving birth to a new era in which autonomous AI agents are no longer just a futuristic concept but are about to become a reality that will redefine how they interact with the Internet and how they conduct economic activities.

But now the hype around agency is everywhere, the real question is: How to develop in the future?

Agent is a new interface designed for commissioning

These intelligent systems are able to interpret user intentions and perform complex tasks with minimal human intervention, marking a major change that unlocks infinite possibilities for innovation in all walks of life. The Post Web paper framework and expectations of the evolution of the current network paradigm provide a key context for understanding and leveraging the evolving field of AI agents.

The paper believes that the core concept of agency lies in commissioning. Instead of manually clicking and browsing the Internet, users delegate their intentions to AI agents to operate in services, infrastructure and markets.

This shift opens up huge opportunities, first of all, the tools and infrastructure needed to drive agent systems. A huge demand for the following aspects is expected:

• Agent software development kit and training framework

• Multi-agent coordination orchestration layer

• A secure deployment environment

• Tools for defining, verifying, and monitoring agent behavior

• As the number and variety of agents surge, so does the need for systems that can manage complexity and ensure trust.

Establish trust in autonomous agents

The key to the successful adoption of autonomous agents is to build unwavering trust. This requires the development of strong security protocols and transparent verification mechanisms, which may leverage the immutable nature of distributed ledger technology (DLT) to ensure that the agent acts according to user intentions and effectively reduce the risk of malicious behavior. On-chain verification of proxy behavior will implement:

• Transparent audit trail

• Encryption guarantees compliance

• Reduce malicious behavior

• Agent reputation and accountability

The economy of intention relies on these mechanisms because trust is the key to achieving scale.

The rise of professional AI agents

In the envisioned intention economy, the Internet will optimize the organization around addressing user intentions, which will greatly drive the need for professional AI agents targeting specific needs and uses.

• Personal agency: handles everything from schedule to finance

• Financial Agent: Execute decentralized financial transactions and manage digital assets

• Data and Research Agent: Collecting and Organizing High-Quality Data

• DAO Governance Agent: Participate in voting and decentralized governance

Every field of expertise creates new opportunities for entrepreneurs.

Agent Stack

The agent will not appear out of thin air. They need a complete ecosystem to operate, develop and unleash true economic value. For entrepreneurs, this is the real frontier: building tools and equipment for the agency economy. Here are some of the biggest opportunities:

Agent Marketing and Reputation Systems

The rise of AI agents will spawn a Wild West of online services, and not every agent is trustworthy.

Founders of market platforms that can build marketplaces that users find, verify and deploy reliable agents will have a huge first-mover advantage. Imagine an "app store" specially built for independent agents:

• Compare the actual performance of the agents (speed, success rate, security) and not just what they claim to be

• On-chain reputation can demonstrate the long-term performance of an agent, allowing easy identification of reliable and high-risk services

• Intelligent matching engines can connect users to the right agents for their work in real time

Trust is crucial, and market platforms that can verify trust will win.

The role of personalized interface and " [Thin

Web](https://outlierventures.io/article/the-thin-web-what-remains-when-ai-eats-the-internet/) "

Even in a proxy-driven world, humans still desire interaction. This has created a huge demand for dynamic personalized interfaces that can be adjusted in real time according to user intentions, preferences and needs.

Enter " Thin Web ": a unique interface generated instantly by AI agents, tailored for users.

Imagine that the shopping experience is like a private consultation, where the game can be adjusted in real time based on the player's game style, and social applications can display connections or communities based on deeper intent signals.

Building these people-oriented levels of entrepreneurs on top of agency infrastructure will shape the emotional and social structure of the new era.

The infrastructure behind the agent

The operation of the agent requires resources: computing, storage, bandwidth, and identity. The bottleneck of centralization is that it cannot be expanded and cannot gain trust. This is where DePIN comes into play:

• Distributed computing for proxy training and inference.

• Decentralized storage for proxy memory and data persistence.

• An ubiquitous and resilient connection layer for coordination between agents.

Building APIs, smart contracts and dApps to enable agents to access decentralized infrastructure autonomously and securely, is a huge open design space. Smart entrepreneurs have begun to build.

Together these levels form a new digital backbone, the invisible engine room in the agency economy. Building this stack is not only a technical challenge, but also an opportunity once in a decade, which can lay the foundation for the future network and define a new era of life.

What is the next step in agency innovation?

The full play to the potential of AI agents depends on the continuous improvement of their core capabilities.

Advances in learning paradigms such as reinforcement learning (RL) and retrieval augmented generation (RAG) will drive this evolution, which can improve decision-making, contextual awareness, and reasoning capabilities. As agents begin collaborating to solve complex problems, safe and efficient inter-agent communication and coordination protocols are also needed to promote the rise of complex multi-agent systems.

But innovation cannot happen in isolation. Solving fundamental challenges will open up new opportunities in full swing.

First, the agent’s digital identity and reputation system must be built from scratch to ensure responsibility is fulfilled and trust is built. As agents gradually integrate into all areas from personal finance to business operations, a clear governance framework is crucial to prevent abuse and protecting users.

Meanwhile, breakthroughs in privacy enhancement technologies (PETs) and secure communication protocols are crucial to implementing sensitive task delegation without leaking user data.

The future of agency innovation requires not only wisdom, but also a lot of infrastructure and trust. Those who build this emerging hierarchy of tools, systems and standards will shape not only the future of AI, but also every aspect of future life.

Related reading: Taking stock of AI Agent's recent product optimization and technological innovation, can the six popular projects break the deadlock after the market value of the six popular projects fall below 90%?