[ldjkfkdsjnv]

These are all just openai wrappers with a nice ux, better to build your own prompt and go straight to the source. More visibility into errors/edge cases and ability to leverage new model capabilities as they come out. Whats more, as your use case gets more complex, you will outgrow these apis. You could have just written your own prompt to begin with and added edge cases as they arose

[robert-te-ross]

Thanks for the comment. We get this question often, and our most common answer is that our customers tried to solve their mapping problems using OpenAI calls. After it did not yield the expected reliability, consistency, and scalability results, they ended up onboarding to Lume. We’ve put extensive work into the overall engine (and the underlying AI) to the point where customers have seen it as a significant value add over their attempts at leveraging OpenAI directly.