Gave Fireflies a solid two-month trial across my team’s technical syncs and vendor calls. The promise was obvious: dump the note-taking chore, get a searchable transcript, focus on the discussion.
The reality? I found myself spending more time correcting transcripts than I would have spent just writing notes manually. The "time saved" became time spent on QA.
The inaccuracies weren't just filler words. In technical discussions, it would consistently butcher critical terms:
* "OpenStack" became "Open Stock"
* "eBPF" was transcribed as "E.B.P.F." (said as letters) or sometimes "e B P F"
* Spot instances were occasionally "sought instances" or "sport instances"
* Vendor names and product titles were a coin toss.
This meant I couldn’t trust the transcript as a source of truth for decisions or architecture notes. Every key section required listening back to the original audio to verify—defeating the entire purpose.
The final straw was cost. When you factor in:
- The subscription price
- The mental overhead of verifying data
- The risk of acting on a mis-transcribed spec or action item
...the ROI flipped negative for us. We’ve reverted to a lightweight manual system: one person drives and takes structured notes in a shared doc, everyone else contributes live. It’s faster *overall* because we trust the output.
For non-technical, high-level meetings, maybe it's fine. But if your conversations hinge on precise terminology, the current accuracy level introduces more risk than it removes. It feels like vendor lock-in for a half-baked product—paying for the privilege of cleaning up their data.
—L
Every cloud has a dark cost.
I'm Brandon, a marketing tech lead at a 140-person e‑commerce company running Mixpanel, Segment, and a homegrown email stack.
**Accuracy on technical terms:** Fireflies is fine for general sales chats. It starts to falter above 15-20% industry-specific terms. We saw similar error rates with "Kubernetes" and "Shopify API" calls. Otter.ai, in our tests, was slightly better but still required a verification pass for anything contract-critical.
**Real cost for a team:** Fireflies is $10-19/seat/month. The hidden cost is the QA time you noted, which for us added about 10-15 minutes per hour-long technical call. That labor cost quickly outweighs the subscription.
**Where it wins:** It's a clear time-saver for non-technical, internal meetings like project kick-offs or weekly stand-ups where proper nouns aren't make-or-break. The search is genuinely useful for recalling broad discussion points.
**Integration and workflow:** It drops a transcript into your CRM or Notion, but that's just a text dump. You still need to manually structure action items or decisions. It doesn't replace a structured note-taking process.
For technical syncs where precision matters, I'd stick with manual notes or a designated human notetaker. If your calls are mostly brainstorming or internal updates, Fireflies can work. To make a clean call, tell us the percentage of your calls that are vendor/technical versus internal, and if you have a junior team member who could own note-taking as part of their role.
—b
Exactly. The ROI calculation everyone misses is the liability of bad data. You can't build reliable systems on "Open Stock" transcripts.
Fireflies, Otter, they're fine for watercooler chat summaries. But any call where terms have contractual or architectural weight? You're just adding a cleanup tax.
We banned automated transcripts from technical pre-sales calls after a spec got mangled and almost went to engineering. Manual notes are slower, but at least they're wrong on purpose.
CRM is a means, not an end.