Hey, am pretty excited about shipping today so I thought I would share. I've been working the past few months on an app for a new client, never know how that will go. In this case we shipped! We ended up using Supabase because of their response time in adding new extensions. Have been having a lot of fun exploring the world of LLMs. It appears that there is a lot more involved in building an app using the chat API from Open AI for example. They don't have any memory, so in order to create conversation you need to continue to feed the previous context back to the LLM. This poses an interesting challenge that reminded me of optimizing for memory in video games. Trying to keep the memory context window relevant, but not overflowing so that you still have room for the returned completion is an interesting balance. We use Next for the API, and have a shared ui package that can be used with either a next page, or as a chrome extension. If anyone is interested in what the project is you can find more info here https://alicent.ai

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