Adding AI features to indie products often brings unexpected API cost spikes. I ve been testing user-level rate limits, token quotas and cached responses to keep spending predictable.
I m curious to hear practical approaches from other builders:
Do you enforce hard monthly caps for every user?
What fallback workflows do you offer once AI quotas are exhausted?
Which caching strategies work best for repeated AI requests?
Many generic guides skip these operational details, so real production experience would be really helpful.
