Brothers, I sincerely suggest that you put down GPT and try Surf AI first.

I have been using GPT to assist with writing analysis, but I always feel that it is too "understanding of principles, but not of the market". At the same time, it lacks a sense of language in the cryptocurrency space. There is nothing wrong with its logic; GPT is more like a smart student, not like someone who has actually done on-chain transactions.

Surf is my first experience where AI truly begins to understand on-chain structures, user behavior, project motivations, and protocol design. It can be said that this is the AI that brothers in the crypto circle should use the most, from analysis and research to strategy execution; it's no longer just ChatGPT-style talk, but rather it genuinely helps you execute strategies, write reports, analyze on-chain data, and calculate valuations.

In the past few days, everyone has been talking about X402. Although Xiao Shuai has made ten times the profit and posted about it on Twitter, today I still wanted to analyze it using Surf. The result raised a question: from the token data to the X402 protocol architecture, and then to Coinbase's design philosophy, everything is interconnected, and the information is impressively solid, especially since it's real-time data, making it particularly comprehensive.

Taking a practical question I tested as an example: "What is the relationship between $PING on Base and X402?"

The processing logic of Surf is very similar to a researcher's workflow:

The report homepage directly shows TLDR, a one-sentence definition + current data (market cap/increase/circulation/exchange)
The mid-section covers token analysis and protocol structure, including Coinbase's design intentions, the historical documentation background of HTTP 402, and the payment path flowchart.
Finally, there is the conclusion section, which outlines who this narrative is suitable for, what the current on-chain status is, the probability of implementation, and where the potential variables and obstacles lie.

After looking through this set, my evaluation can be summed up in one sentence: the overall structure is good, the information is true, the logic is clear, and there is no nonsense.

Add some details:
$PING is the experimental token of the X402 protocol, used to test the "automatic payment" path (1 USDC mints 5000 PING)

The protocol was launched by Coinbase, focusing on allowing HTTP layer requests to natively support on-chain payments.

Surf not only explains these definitions, but also synchronously pulls on-chain actual data (LP depth of Uniswap V4, 24h trading volume, price fluctuation), and provides a positioning of the current cycle (belonging to "cold start test assets," having experimental value, but not an investment vehicle). It does not exaggerate the narrative, nor does it use "reduplicated words" to create FOMO.

What impressed me the most is that the report not only contains conclusions but also allows us to see its reasoning path. This is really important for someone like me who is used to "first finding the principles, then finding the viewpoints."

Regarding the X402 protocol itself, I initially didn't pay much attention to it, thinking only about speculating on it, but Surf's approach made me realize that this could be a more long-term AI infrastructure.

Its starting point is to complete the unfinished Payment Required logic at the HTTP layer, addressing real-time payments and settlements between M2M (Machine-to-Machine).

You may not believe the narrative, but it indeed fills a gap in the protocol. From the current perspective, Coinbase testing it on Base is a typical "run a protocol first, tell a story later" approach.

From my perspective, the value of Surf lies not in whether the "answers are good or not," but in:
- Can we directly complete the research process: check data, pull references, assess structure, output framework
-Can a vague question be condensed into a discussable logical system?
-Can we objectively and conservatively delineate the project's boundaries, variables, and risk items?

GPT is a good partner for conversation, but Surf is a tool-oriented and professional research assistant that can help us.

Xiao Shuai will also continue to try Surf, and will be synchronously using it to run reports on some non-popular projects to see how it performs in low information density scenarios. I will update later.