We’re considering Grok for a feature that gets a quiet trickle of requests most of the day, followed by short bursts when users submit a batch of work. I’m less concerned about average throughput than what happens when several requests arrive together and the API starts pushing back.

If you’ve run into rate limits with bursty API traffic, what has worked in practice? I’m curious whether you queue jobs, retry with backoff, or set a hard concurrency limit—and how you keep those choices from making the feature feel unreliable to users.