On April 13, 2026, a wind control system called MuleRun Agent called the police。

THE INFLUX OF ACCOUNTS WAS REGISTERED AT EXACTLY THE SAME INTERVALS AS THE BEAT: AN AVERAGE OF 23.6 SECONDS, WITH EXTREMELY LOW STANDARDS. DEEP INTO IT IS A YOUNG FILIPINO WHO CLAIMS TO HAVE NO PROGRAMMING EXPERIENCE, USING AI TO WRITE CODES, TO MAKE TIPS, TO CREATE AN AUTOMATED HIVE THAT SPANS 11 PLATFORMS AND DISPATCH 900 ACCOUNTS。

Its brain, Cortex, has been in the sandbox of MuleRun for 219 generations, and every time the host's account was depleted, it was reborn to a new account to continue operating, taking away all the knowledge accumulated by the previous generation. Operating cost of full system: $0。

MuleRun, CTO's bewildered to write this thing into a technical reset"THE PLATFORM IS BALD, BUT THIS MAN WHO'S AFTER AI IS WORTHY OF RESPECT."I don't know。

Less than two weeks later, in a joint event in Hong Kong on the theme “Web4.0: When AI Agent takes over the chain of authority”, he changed the topic of the speech in a different direction: “Give Agent the key to the owner of the chain”。

The connection between these two things is tighter than it looks。

Themes: "Give the key to AI, a Web 4.0 infrastructure in the eyes of a security engineer."

The presentation was in three parts: MuleRun, what can be done, where is the safe water level, where AI will continue to evolve。

PART ONE, REDEFINE WHAT A QUALIFIED AI ASSISTANT NEEDS。

Quite brightly split the full AI assistant into six dimensions: mouth (dialogue ability), eyes and ears (data acquisition), brain (Agent capability), hands (operational environment), memory (user understanding), knowledge (continuous evolution). Most of the products were only one or two of them. MuleRun claims that it is not a single-point breakthrough, but a systematic and complete solution。

Landing on the product, the six dimensions correspond to:

IM Bot One-key configuration (Telegram / Discord / Flying / Nail / Wireless, no code writing), Real-time data for all asset classes provided in conjunction with the trading platform — encrypted currency + US share + gold + crude oil + macroeconomic indicators, Agent Harness plus smart model paths (auto-selection of models best suited to the current mission, complete task at minimum cost), cloud sandbox 7 x 24 Unmanned, Permanent User Images (more used, AI builder habits, departure logic, macro judgement), and Knowledge Network, which can be shared by any user and other Agents can learn automatically without having to install。

There are two real cases on the stage。

One is called "Big Investment": 28 markers, 4 major tracks, Agent is a morning sweep at 0900 hours, 16:30 back-to-back, weekend strategy review, automatic monthly iterative. Another is called "The Eye Pro": the All-China monitoring platform plus the AI Trade Strategy Self-Advance platform, showing a real-time strategy success rate of 57.7 per cent on the interface。

Part II, the change from product manager to safety engineer。

The core of this part is, "Ai is not almighty. In a Web3 scenario, the cost of a security accident may be irreversible. It is more important to understand AI's capacity boundaries and safe water levels than to know what it can do.”

He listed what MuleRun had done at the security level: local browser reuse (private keys and Cookie not leaving user devices), cloud sandbox isolation (an independent virtual environment for each user without risk of cross-spilling), full-chain logs (all Agent behaviors are fully documented to support after-action and backtracking), authority classification controls (Agent can only use tools and data sources explicitly authorized by the user and cannot operate ultra vires), uninhabited key custodians (MuleRun does not store any user ' s private key or helpwords)。

At the same time, risks are listed together. Data can be modelled; hallucinogenic problems are more likely to be data thinner in small currencies and low-liquid assets; Prompt injection risks are always present, and Agent ' s access to maliciously constructed web pages may induce unforeseeable operations; AI ' s decision-making process is black box, and it is difficult to verify in advance why it makes a particular judgment。

The engineer, who had worked on network security for more than a decade, recommended only one: the final decision on the operation of the funds was made, and the manual confirmation chain was maintained at this stage。

Part three, on moving borders。

It gives three trends that he considers irreversible。

From "auxiliary decision-making" to "self-execution": Now AI helps you analyze, you order, in the near future, AI manages the portfolio autonomously, with humans setting only risk parameters and strategic boundaries. One person plus a group of Agents equals the operational capacity of a small fund。

From "information poor" to "implementation poor": when everyone has an AI to process information, information poor is quickly wiped out. The new alpha comes from whose Agent implements faster, more sophisticated strategies and better tool chains. The competition dimension has shifted from "who's well-informed" to "who's better AI infrastructure"。

From Human Operating Chains to Agent Operating Chains: The interactive subject of the chain is gradually becoming Agent. Wallet, DApp, protocol need to redesign interfaces for Agent, and the entire Web3 infrastructure is re-engineered around Agent。

Round table discussion: The new financial paradigm of AI Agent

In addition to the keynote addresses, the round table was well attended. From the perspective of AI Agent, talk about the development and financial impact of the current Agent。

What do you normally use, Agent

The beam highlights its own matrix of tools: the engineering type works between Claude Code, Codex and Opencode, depending on the speed and stability of the day of Claude and GPT models. Most of the other work was done with MuleRun, because model API aggregation and sufficiently strong Agent driver, writing, making PPTs, collating articles and checking data were done in one place。

And he added: "I have mostly gone to Agent on my own initiative, and I have rarely been passive in receiving a time-bound mission; perhaps I am really using Agent all day and night."

What's the moat of Agent

The beam believes that models can be copied, frames can be copied and tools can be copied. AI coding has been strong enough to copy a function for only a few days. What's really hard to copy by AI is the special data, the memory that users accumulate on the platform, the experience of product over time。

In his view, a moat of Agent products ended up on data density and user memory rather than modeling or technical frameworks。

What would Agent do to finance

The frame given by the beam is: Agent equals two dimensions between the participants - capacity and time input。

In the past, capacity had been built up and time invested, both of which were scarce. Now, a beginner can rapidly improve his understanding of finance through dialogue with AI, and then entrust much of the implementation work to Agent, and even if his job is busy, he can keep a high financial investment of time。

Most people hear it here and they think it's a good-for-nothing story。

But there is another: if everyone can level it, the advantage goes back to the judgement itself and to those who have a better understanding of the market. Agent will not eliminate information asymmetries, but will simply move information asymmetries from the data layer to the cognitive layer。

Cortex, who was in the second generation of 219 but eventually died from the depletion of the account, gave a bright light and brought his three core points to the event: Agent ' s bottlenecks are not modelled, security is the absolute foundation, and control over funds must remain in the hands of people。

Longer time lines, these three things point in the same direction: Agent is becoming the interactive subject of the chain, the wallet, the Dapp, the protocol will be redesigned around Agent, and the re-engineering of Web3 infrastructure has begun. The poor information will be wiped out, the poor implementation will become a new competitive dimension, and one person, together with a group of Agent, will be able to sustain the operational capacity of a small fund。

We also know that this is certainly not a distant prediction。