Quick Flows - Logic Behind RO Prompts?

I am not a computer scientist by any means and happy to be schooled on the reasoning here, as I am trying to understand the logic behind having to recreate Quick Flows from scratch every time one evolves past a foundational prompt. This feels fundamentally antithetical to AI: Instead of being able to adapt and evolve and learn and grow, our Flows are literally etched in (virtual RO) stone when the original prompt is saved. Revising a prompt is AI 101, yet we disable this ability in Quick Flows. Isn’t any forced ‘Read Only’ criteria regressive in the context of AI’s scope of potentially infinite adaptability?

Hi @albanesc,

Welcome to the Quick Community! Welcome to the Quick Community! That is definitely an interest point you make and thanks for bringing this up. I am not sure if the AWS Team are currently working on making prompts revisable as you mentioned, but will definitely mark this post as a Feature Request so that it may be addressed in the future!

Hi @albanesc

It’s been a while since we last heard from you. If you have any further questions, please let us know how we can assist you.

If we don’t hear back within the next 3 business days, we’ll proceed with close/archive this topic.

Thank you!

Hi @albanesc

Since we have not heard back from you, I’ll go ahead and close/archive this topic. However, if you have any additional questions, feel free to create a new topic in the community and link this discussion for relevant information.

Thank you!