The author seeks feedback on their MVP and expresses a desire to enhance it by adding support for multiple LLMs.
Python, Flask, and Machine Learning
2024-11-03
- website
Highlight 1
The app is straightforward and user-friendly, allowing users to easily engage with the language model.
Highlight 2
Aether offers the capability for integration with multiple LLMs, promising versatility in user interactions.
Highlight 3
The MVP status encourages user feedback, fostering a community-driven development approach.
Improvement 1
The app could enhance its documentation to better assist users in understanding its functionalities.
Improvement 2
Implementing a more visually engaging UI would improve overall user experience.
Improvement 3
Incorporating additional features, such as user customization or more advanced conversational abilities, would increase user engagement.
Product Functionality
Expand the functionalities to include more comprehensive features such as task management or reminder systems integrated with the language model.
UI & UX
Enhance the UI/UX by adopting a more modern design, incorporating visually appealing elements, and improving navigation throughout the site.
SEO or Marketing
Implement an SEO strategy focusing on relevant keywords, engaging content, and backlinks to improve visibility on search engines and attract potential users.
MultiLanguage Support
Consider integrating a selection of language options to cater to a broader audience, allowing users from different regions to engage with the application.
- 1
What is Aether?
Aether is a minimalist personal assistant application that utilizes large language models to interact with users and generate responses.
- 2
How does Aether work?
Aether works by processing user inputs through its language model, generating coherent and relevant responses based on the input provided.
- 3
Is Aether customizable?
As an MVP, Aether is continually being developed, and future versions may include customizable features based on user feedback.