為何採用搶先體驗模式？

「There’s still a lot of room for optimization, and the feature potential is nearly unlimited. At this stage, I want to understand whether you're interested in what Artificial Player offers, how you're using it, and what features you need most.」

這款軟體的搶先體驗時間大約會持續多久？

「Roughly 26 weeks

* Fix a series of recognized small bugs in the UI.

* Localization of the interface.

* Provide integration with community models.

* Accessibility support – major improvements expected; currently gathering requirements; we expect community support.

* We want to focus on the educational aspect of the product and add more information targeted at educational institutions.」

正式版預計會與搶先體驗版有何不同？

「Currently, the app only supports the "detect and shoot" feature, and the interface offers limited customization options. I’m working on core features such as “pick up target” and “follow target,” and I plan to add key features based on your feedback.」

搶先體驗版目前的開發進度如何？

「The app is stable and runs with high performance on low- and mid-range Nvidia GPUs.
All functionality described in the About This Game section has been implemented, except for the agent mode described as “follows commands (like ‘find this’ or ‘shoot that’).”」

軟體售價在搶先體驗期間前後會有所變動嗎？

「We plan to gradually increase the price as we add new content and features. At the same time, we plan to create a community-driven model for delivering pre-trained models tailored to specific use cases, which can be used within the product. After releasing version 1.0, we plan to deliver further functionality as additional modules.」

在開發過程中，您打算如何與社群互動？

「By releasing the product at an early stage, we want to gather feedback from the community as quickly as possible about the direction in which we should develop our product, and how to best tailor it to the widest possible audience. We also want to learn what level of customization is expected.

In general, by purchasing the product at an early stage, you have the opportunity to influence its final appearance and functionality. To communicate with users, we plan to use the power of the Community Hub. We are also preparing an external support page where bugs can be reported and custom models can be submitted.」