Let me share a little secret: I have been using AI tools to assist my writing for the past six months. Recently, the tool I’ve been using the most is PhoenixOne.
PhoenixOne is a newly launched deep AI intelligence in Web3 by @Phoenix_Chain, which can be understood as a vertical ChatGPT for the crypto field. But its value goes far beyond that.
Compared to general large language models, PhoenixOne excels in:
Domain expertise
PhoenixOne has a deeper and more accurate understanding of key issues such as technical terms, protocol mechanisms, and market dynamics.
Real-time data integration capability
PhoenixOne synchronously processes on-chain data, social sentiment, macro events, etc., while general models are limited by the timeliness of training data and cannot capture such high-frequency market signals.
Targeted strategy generation
Based on a deep understanding of the ecosystem, PhoenixOne can generate more actionable strategy recommendations.
The better point is that by using PhoenixOne, users can earn points that can be redeemed for $PHB tokens. The steps are as follows:
Register and log in to PhoenixONE (https://one.phoenix.global/)
Input research question
Click Synthesize to generate an article
Share link on X
Submit to Gig Board
The more interactions your article receives, the more points you earn. This mechanism design is clever, directly linking content quality with economic incentives.
From a higher-dimensional perspective, we are witnessing a profound structural change in the AI industry, comparable to the turning point of the internet industry in the late 1990s.
At that time, portal sites like Yahoo and AOL tried to become 'universal gateways,' offering news, email, search, shopping, and all services. But the winners turned out to be specialized players: Google focused on search, Amazon on e-commerce, and Facebook on social networking. Today, the AI industry is undergoing the same differentiation process. Although general models like ChatGPT are powerful, they have inherent limitations in depth and real-time capabilities in specific fields. The opportunity window for specialized AI is opening.
This does not mean that general models will disappear. A more likely evolution path is: general models continue to exist as an infrastructure layer, while specialized models thrive as an application layer.
From an investment perspective, the value proposition of specialized AI is clearer:
Higher user stickiness (professional demands are hard to replace)
Stronger moat (barrier of domain knowledge)
A clearer business model (precisely addressing specific pain points)
Phoenix has already taken a lead in this aspect. The launch of PhoenixOne is just the beginning, backed by the systematic construction of the entire Web3 AI infrastructure.
