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@ -11,11 +11,7 @@ Browsing the database of theresanaiforthat.com, we can observe around [7000 new,
It seems it has never been easier to create a startup, build an app, and go to market… and fail.
Decades of technological advancements have led to small teams being able to do in 2023 what in 2015 required a team of dozens.
Yet, the AI apps currently being pushed out still mostly feel and perform like demos.
The rise of this new profession is perhaps signaling the need for a solution that is not yet there — a solution that in its essence represents a Large Language Model (LLM) — [a powerful general problem solver](https://lilianweng.github.io/posts/2023-06-23-agent/?fbclid=IwAR1p0W-Mg_4WtjOCeE8E6s7pJZlTDCDLmcXqHYVIrEVisz_D_S8LfN6Vv20) — available in the palm of your hand 24/7/365.
AI apps currently being pushed out still mostly feel and perform like demos.
To address this issue, [dlthub](https://dlthub.com/) and [prometh.ai](http://prometh.ai/) will collaborate on a productionizing a common use-case, progressing step by step. We will utilize the LLMs, frameworks, and services, refining the code until we attain a clearer understanding of what a modern LLM architecture stack might entail.