There are a few reasons why we believe this is one of the most effective inference credit systems we have seen: 1) It is tied to real demand, not arbitrary emissions: Inference demand is continuously generated through our IRM and underlying platform usage, meaning the economic value of credits is connected directly to actual inference consumption. 2) No reliance on third-party buyers: Users do not need to sell their inference to other users. Dot provides redemption liquidity at a dynamically determined price. Sellers therefore aren't dependent on finding an external buyer, creating consistent demand. 3) A true two-sided market: Stakers can either consume their allocation on Dot or monetize unused inference. Buyers can acquire inference without needing to stake $DOT themselves. 4) Staking creates the supply naturally: The inference available for sale isn't artificially manufactured, it is generated as a direct consequence of $DOT staking and recurring allocations. 5) Both sides are economically agnostic: Buyers care about obtaining useful, inexpensive inference; sellers care about monetizing their allocation. Dot facilitates both sides while providing the inference within a privacy-first environment. 6) The value is directly connected to platform success: As Dot generates more inference demand and revenue, its ability to support the inference market increases. The economic value is therefore tied to real platform activity rather than arbitrary token rewards. 7) It monetizes our existing user base: By limiting free inference, we can begin monetizing our ~5,700 daily users. Some drop-off is expected, but the mechanism allows us to monetize the market share and demand we have already established while giving users multiple ways to participate: consume, buy, sell, or stake. The result is a self-reinforcing inference economy. $DOT staking creates supply, Dot creates demand, users create liquidity, and platform usage determines the underlying economic value. Excited.