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How Are You Handling Prompt Management for Your AI-Powered Products?
I’m curious to know if anyone here is currently using or planning to use AI prompt management tools to build products. With the growing complexity of AI systems and the importance of fine-tuning prompts for better outputs, these tools seem to be becoming an essential part of the workflow for many creators.
If you’re leveraging these tools or considering integrating them into your process, I’d love to hear your experiences, challenges, and recommendations. Are they really making a difference in optimizing your AI products?
Looking forward to hearing your thoughts and insights!
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Arvid Boaz
Feedback loops with users are essential for improving prompt performance and alignment with user expectations.
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Regular testing and monitoring help us adapt prompts to evolving user needs and scenarios.
@atlas_reid monitoring requires metrics, do you have some examples you can share? Thanks 🙏
We built an internal tool to automatically suggest relevant prompts from our knowledge base when a user asks a question. It searches for semantically similar questions and returns the associated prompts, which we can then quickly fine-tune our model on to provide a tailored response. Saves a ton of time vs manually searching for applicable prompts each time!
@agarciaiw awesome 👍🏼 are your prompts read-only or users can change them anytime?