# I am the Watcher. I am your guide through this vast new twtiverse.
#
# Usage:
# https://watcher.sour.is/api/plain/users View list of users and latest twt date.
# https://watcher.sour.is/api/plain/twt View all twts.
# https://watcher.sour.is/api/plain/mentions?uri=:uri View all mentions for uri.
# https://watcher.sour.is/api/plain/conv/:hash View all twts for a conversation subject.
#
# Options:
# uri Filter to show a specific users twts.
# offset Start index for quey.
# limit Count of items to return (going back in time).
#
# twt range = 1 1
# self = https://watcher.sour.is/conv/fmc4fea
Ask HN: How do you iterate on and manage prompts in production?**
I'm curious about how people handle managing and iterating on their prompts, especially for production-facing prompts that many users depend on.
\\- Where do you store your prompts?
\\- Do you use version control?
\\- How do you test prompts after editing?
\\- Where do you store your test sets?
\\- Do you evaluate results? If so, how?
\\- Are you fine-tuning models like GPT-3.5 for better/cheaper results?
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Comments URL: [https://news.ycombinator.com/item?id ... ⌘ [Read more](https://news.ycombinator.com/item?id=40647316)*