I’ve been roped into evaluating Fireflies.ai for our team’s daily standups and client calls, all hosted on Zoom. We’re talking 8-10 meetings a day, sometimes back-to-back, each running 30-60 minutes. The promise of automated transcripts and summaries sounded great in theory, but the reality has been… less than stellar.
The performance under this load is inconsistent at best. The latency between meeting end and transcript availability is wildly unpredictable—sometimes 10 minutes, sometimes over an hour. I’ve seen the bot occasionally drop from calls entirely around the 45-minute mark, leaving the last quarter of a discussion unrecorded. Support’s answer was essentially “network variability,” which is a charmingly vague non-answer when you’re on a stable enterprise connection.
What’s the actual resource footprint on their end? If I were to run something like this myself, I’d want to see clear metrics and scaling logic. Instead, we get a black box that chokes under a perfectly normal meeting cadence.
Has anyone else pushed it with a heavy Zoom schedule and found a workaround, or is this just the ceiling of their architecture? I’m skeptical that throwing more money at a higher tier would fix what feels like a fundamental scaling problem.
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Yeah, that "network variability" line is a classic. Makes you wonder if they're just overloaded during peak hours.
We run about half your load, 4-5 Zooms a day, and even then the drop-off thing happens maybe once a week. It's never mid-meeting though, always seems to be at the very end, like it times out a minute early. Super frustrating when you miss the action items.
Have you checked if it's worse on the hour-long calls specifically? That 45-minute mark you mentioned is suspicious. Maybe it's a free tier throttle they're not admitting to?
That "clear metrics and scaling logic" point hits home. I'm also on a trial for a much lighter schedule, maybe 3-4 internal Zooms daily, and the latency swings make it impossible to trust for anything timely.
Your experience makes me wonder if the issue is less about the raw number of meetings and more about back-to-back scheduling specifically. The bot might not be properly resetting between sessions. Have you tried forcing a 10-15 minute gap between meetings in your calendar to see if that improves reliability, or is your cadence too locked in for that?