🧌 @Kindred_AI Recently announced and completed the production and delivery of Klara Blend Coffee™️, which is a tangible product that has been implemented, not just a concept showcase or brand warm-up 🧾.
Kindred is explicitly planned as a real product that can be produced, distributed, and experienced, and will hold trial and sharing activities after the TGE ends. This in itself sends a clear signal: at the current stage, Kindred places more emphasis on “whether the delivery is completed” rather than “whether it creates buzz” 👀.
From a product perspective, this release is not complicated, nor does it deliberately emphasize emotional value.
Kindred simply proves one thing: the team can complete a project from planning to execution within a set timeframe, and is willing to disclose the results before the TGE ⏱️.
In an environment where many projects still stay at the roadmap, preview, and “coming soon” stages, this choice is not common.
Pulling the perspective back to Kindred itself, its product logic has always been relatively straightforward.
Kindred does not focus on “number of conversations,” “emotional parameters,” or complex metrics, but instead uses whether the role is repeatedly used and whether it can form long-term relationships as the core validation method 📊.
A realistic feature of role-based AI is that failure is hard to hide. Whether users will return, whether they will use it a second time, and whether they are willing to spend time continuing interaction are very intuitive outcomes.
Structurally, Kindred clearly revolves around three directions: AI, Web3, and IP 🤖🔗. - The role of AI is to lower the barriers to creation and character building, enabling higher quality content to be produced more quickly; - Web3 is used to allocate ownership and incentives related to content, rather than just as a financing or trading tool; - IP plays a role in long-term recognition and expansion, providing a foundation for ongoing operation and commercialization of content.
👉 These three are not presented as separate narratives but are bound within the same usage scenario.
Therefore, Kindred’s definition of the community is also quite clear 💡.
Users are not passive consumers of content but occupy an active position in creation, usage, and value distribution 👥. Whether this structure is sustainable depends not on the narrative height but on whether users are willing to continue participating and whether they recognize the content itself.
The release of Klara Blend Coffee™️ is essentially an extension of this logic. It is not core business, but it demonstrates the team’s execution approach: complete first, then disclose; deliver first, then discuss value 📌. Whether it is successful or worth long-term investment will be reflected in subsequent use and feedback, without the need for additional explanation.
Kindred is currently following a very clear validation path. It reduces ambiguity and leaves judgment to real results. This choice is not easy, but for observers, it makes the direction easier to see 👀.
#KAITO #Kindred #Kindred_AI @KaitoAI
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🧌 @Kindred_AI Recently announced and completed the production and delivery of Klara Blend Coffee™️, which is a tangible product that has been implemented, not just a concept showcase or brand warm-up 🧾.
Kindred is explicitly planned as a real product that can be produced, distributed, and experienced, and will hold trial and sharing activities after the TGE ends. This in itself sends a clear signal: at the current stage, Kindred places more emphasis on “whether the delivery is completed” rather than “whether it creates buzz” 👀.
From a product perspective, this release is not complicated, nor does it deliberately emphasize emotional value.
Kindred simply proves one thing: the team can complete a project from planning to execution within a set timeframe, and is willing to disclose the results before the TGE ⏱️.
In an environment where many projects still stay at the roadmap, preview, and “coming soon” stages, this choice is not common.
Pulling the perspective back to Kindred itself, its product logic has always been relatively straightforward.
Kindred does not focus on “number of conversations,” “emotional parameters,” or complex metrics, but instead uses whether the role is repeatedly used and whether it can form long-term relationships as the core validation method 📊.
A realistic feature of role-based AI is that failure is hard to hide. Whether users will return, whether they will use it a second time, and whether they are willing to spend time continuing interaction are very intuitive outcomes.
Structurally, Kindred clearly revolves around three directions: AI, Web3, and IP 🤖🔗.
- The role of AI is to lower the barriers to creation and character building, enabling higher quality content to be produced more quickly;
- Web3 is used to allocate ownership and incentives related to content, rather than just as a financing or trading tool;
- IP plays a role in long-term recognition and expansion, providing a foundation for ongoing operation and commercialization of content.
👉 These three are not presented as separate narratives but are bound within the same usage scenario.
Therefore, Kindred’s definition of the community is also quite clear 💡.
Users are not passive consumers of content but occupy an active position in creation, usage, and value distribution 👥. Whether this structure is sustainable depends not on the narrative height but on whether users are willing to continue participating and whether they recognize the content itself.
The release of Klara Blend Coffee™️ is essentially an extension of this logic. It is not core business, but it demonstrates the team’s execution approach: complete first, then disclose; deliver first, then discuss value 📌. Whether it is successful or worth long-term investment will be reflected in subsequent use and feedback, without the need for additional explanation.
Kindred is currently following a very clear validation path. It reduces ambiguity and leaves judgment to real results. This choice is not easy, but for observers, it makes the direction easier to see 👀.
#KAITO #Kindred #Kindred_AI @KaitoAI