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As someone who worked at a low code workflow SaaS, I agree with this. The automation is a commodity, the value was in discovering that people wanted to talk to the LLM to orchestrate their automation vs bespoke workflow design UX. You can also decouple models from API scaffolding like Gorilla LLM (or rather, broad models that dive deep into use case specific models on demand).


Congratulations you have just invented yet another query language with the special fun addition that the result is non-deterministic.


Doesn’t matter, as long as users are getting value. How you solve the problem is less important than solving the problem. I expect LLM output to improve over time, along with mechanisms to coax deterministic behavior.


Yeah developers sometimes overrate precision when in reality being precise is not as good as getting the job done




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