Market habits typically use narratives to price AI projects, but what truly determines the price is how value flows.

@dgrid_ai's path is actually quite clear: users pay $DGAI for inference fees, nodes earn revenue by providing computing power, and nodes need to stake tokens to gain task assignment rights. Governance rights are tied to staking, forming a complete cycle.
The key is that this model is demand-driven; without calls, there is no value flow, and continuous token usage is necessary to sustain it.
From a transactional perspective, it can be broken down into three layers: in the short term, narratives and expectations; in the medium term, the number of nodes and network activity; in the long term, whether stable demand for calls is established. These are validated gradually rather than realized all at once.
Such projects won't explode rapidly like memes, but once they enter a positive cycle, growth will be very steady.
So, the focus isn't on price fluctuations but on a deeper issue: whether genuine demand is continuously occurring on this network.
If the answer is yes, then price is just a matter of time; if not, no matter how good the story, it won't hold up.
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