How Are You Handling Prompt Management for Your AI-Powered Products?
Andrew Moroz
21 replies
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!
Replies
Asher Luca@asher_luca
We integrate prompt management tools to streamline the process of updating and optimizing prompts.
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@asher_luca awasome 🙌🏼 if it’s not a secret, which tool are you utilizing ?
Launching soon!
@asher_luca I would love to know what tool you are using. :)
We ensure promotion management by continuously fine-tuning models based on user feedback and performance metrics.
@angelo_bram thanks 🙏 is there any tool you can suggest?
We utilize version control for prompts to track changes and their impact on outputs.
@anthony_mark5 thanks 🙏 are you utilizing git or some specific version control systems?
Feedback loops with users are essential for improving prompt performance and alignment with user expectations.
@arvid_boaz thanks 😊are you using some tools to collect users feedback?
Regular testing and monitoring help us adapt prompts to evolving user needs and scenarios.
@asher_bennett2 thanks 🙏are you performing manual tests or some automations?
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 incorporate user customization options for more personalized interactions and effective prompt management.
@axel_brook are you managing your prompts in-house or utilizing some tools? Thanks 🙏
Continuous learning from real-world interactions helps us refine prompt strategies for better outcomes.
@axel_monroe great 👍🏼are you utilizing some tool to systemize your knowledge?
Leveraging A/B testing allows us to identify the most effective prompts for user segments.
@beckett_thomas agree 👍🏼 are you using some tools for a/b testing ?
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?