Building BAINT AI: Clarity Is Harder Than Code
The article discusses the challenges faced in building BAINT AI, an AI assistant. The team has received feedback that the UI looks clean but the responses feel hardcoded, the subjects are limited, and the voice sounds off. They are working on making the responses more dynamic, expanding the subjects and topics, improving the voice experience, and making the actions clearer.
Why it matters
This article highlights the importance of user experience and natural interaction in building successful AI assistants, beyond just the technical implementation.
Key Points
- 1Clarity is more important than just the code and design
- 2Users get confused by limited topics and unnatural responses
- 3The team is focusing on making the AI more dynamic, expanding subjects, and improving the voice experience
- 4Building understanding is as important as building features
Details
The article highlights the importance of clarity in building an AI assistant, beyond just the technical implementation. The team behind BAINT AI has received feedback that while the UI looks clean, the responses feel hardcoded, the subjects are limited, and the voice sounds off. This has shown them that a product can look good but still not feel right to the users. They are now working on making the responses more dynamic, expanding the subjects and topics, improving the voice experience, and making the actions clearer. The key lesson they have learned is that clarity is not just about design, but also how the AI sounds, responds, and guides the user. The team is still in the early stages of building BAINT AI, but they are focused on building understanding along with the features.
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