At a friend's gathering, a buddy was boasting that he had bought an AI assistant robot, Can help him write emails, schedule appointments, and even reply to messages to his clients. I smiled and asked, 'Will it make money on its own?' He paused for three seconds and asked, 'Can AI still make money on its own?'? ” I said, 'If you had seen @ playAInetwork, you would know the answer.'. ” There, AI is not a tool, but a node. It can work on the chain, obtain incentives, and collaborate with other AI, More like a digital life with an "identity" than a voice assistant at home. The assessment of PlayAI Network is more focused on its key drivers for the next three to six months, rather than just its current popularity. Here are my latest observations and perspectives: Recent noteworthy new changes Although we haven't seen a large number of new public milestones, there are some signals worth amplifying: Although the media has recently focused on Meta's acquisition of another PlayAI voice company, this event is actually a double-edged sword for PlayAI Network itself - brand awareness is amplified, but it also brings the risk of "name confusion". PlayAI Network continues to promote user incentive mechanisms, rankings, and workflow reuse paths during the Public Beta phase, indicating that its process of entering the user practice phase has not stopped. The trend of technological infrastructure sinking is obvious: voice proxy, on chain task automation, and no code interface are being explored simultaneously. This "multi-dimensional foundation" is the foundation that I believe it can continue to advance. Deep perspective of siege lions 1. From Toolbox to Platform Economy If PlayAI Network stops at providing a bunch of AI+blockchain+no code tools, then it is just one of many platforms. But I have observed that it tends to establish a "workflow reuse+community contribution+revenue sharing" model. In other words, it wants to become an ecosystem where users not only use, but also contribute and potentially make money. This leap is crucial for its long-term ceiling. 2. Brand confusion can actually create opportunities The name is similar to another voice company (also called PlayAI) that has been acquired by Meta. Many people may mistakenly believe that the two are related or integrated. The siege lion believes that although this is a risk, it can also become a traffic lever. The key is that PlayAI Network firmly uses transparent behavior (such as distinguishing brands and explaining whether they are related or not) to clarify. In this way, in the vertical of "on chain AI", it can use "name popularity" to attract traffic, and then use product experience to retain people. 3. Testing and retention should be the focus of attention Beta is common in the current stage, but I believe the real gap lies in user retention, secondary usage, and reuse rate. That is to say, how many users create a workflow and come back for the second time? How many users use the Play written by others to modify it? How many users earn 'real incentives' as a result? If these data can be made public or extracted as cases, then saying 'compound interest mode has been activated' in the review process carries more weight than 'we are doing it'. 4. The token economy and the release of momentum need to be cautious but expected I emphasized in my previous article that the token model is not yet clear, and this still holds true at this stage. But the siege lion also believes that if the platform truly establishes a "workflow creator → used → profit sharing" channel, then the token/point mechanism will naturally become the incentive backbone. In other words, the token model should not be a supplement, but rather a part of the 'user behavior loop'. As a KOL, you should emphasize that this is a double-edged sword: if the early mechanisms are reasonable, pioneers may benefit; If vague and delayed, it may become a 'castle in the air'. 5. Landing scenarios are better than white paper aspirations AI+chain+no code sounds cool, but it's the easiest to expose in practice. Observation of Siege Lion: What is truly recognized by the market is "entering from a vertical scene and completing a closed loop (trigger → execute → write back → profit sharing)". For example, a certain brand uses PlayAI to build a complete process of voice customer service, wallet signing, data return chain, and reward mechanism. If you can provide a hypothetical or self tested "complete closed-loop" case in the content, it is easier for the reviewers to think that you have "done your homework". Three suggestions for you 1. Try it out now: Enter the Beta interface, create your own workflow (even if it's just "monitoring events → sending transactions"), record your failure rate, latency, and reuse potential. The data you have tested is more rated than a bunch of concepts. 2. Tracking ecological contributors: Who is creating popular Play? Which workflows have been modified by others? If you could approach it from the perspective of "Top 10 Popular Workflow" or "User Contributor Interview", it would be more in-depth than just discussing technology. 3. Stay cautious but not indifferent: If you are a content creator/developer/user, it is recommended that you "do not blindly follow the online trend" but "pay attention to penetration rate in advance". When the first truly profitable workflow case is released, it means that the platform has entered an "acceleration period". Summary in one sentence: Siege Lion believes that PlayAI Network is currently at a critical stage of transitioning from a toolset to an ecosystem closed loop. If it can connect the three loops of "user creation → workflow reuse → contribution sharing" within six months, it will have a bright position in the AI track on the chain. But if it's still in the Beta+Vision stage, then it may be another story where good ideas haven't been realized yet. As a reader/participant, you should both be optimistic about its potential and maintain an observational attitude.