Virtuals has upgraded the way AI agents are launched within its ecosystem, seemingly learning from previous experiences and lessons. They found that different teams have different needs and a one-size-fits-all approach doesn't work. Now, it has been refined into three models: Pegasus, Unicorn, and Titan. For small teams just starting out who want to quickly test an idea, the Pegasus model can be used for launch. In this model, including the founding team, anyone who wants to hold tokens must buy them themselves, just like regular users, with no special privileges. All tokens are thrown into a liquidity pool, and the market determines the price. The main focus is whether anyone uses this agent, making it simple and efficient. For teams that want to raise funds but also want fairness, the Unicorn model is adopted: it starts with a small-scale public launch, with no pre-sale or whitelist. It prevents sniper bots, and initial volatility is converted into buybacks to strengthen liquidity. The key is "automatic financing": team tokens can only be slowly sold after the project has real traction (market recognition), with funding amounts ranging from 2 million to 160 million FDV, emphasizing that performance determines everything. If a team is already quite strong (for example, with a good product, institutional support, etc.) and wants to launch on a large scale or migrate from elsewhere while ensuring deep liquidity and low volatility, they can adopt the Titan model: starting valuation of at least 50 million dollars, with liquidity of at least 500,000 dollars in $VIRTUAL. The trading tax is fixed at 1%, and the token design is determined by the team itself. Of course, based on the characteristics that virtuals have previously shown, there will definitely be iterations in the future.