Okay, I’m going to say it and I’m ready for the tomatoes to be thrown 🍅. I’ve been knee-deep in Cartesia for the last quarter, using it to track feature adoption funnels and keyword mentions in user session recordings. The voice-to-text and semantic search is undeniably cool—like, sci-fi cool.
But here’s my thing: for my *core* need, which is literally just spotting specific keywords and phrases in user sessions to understand intent and friction points, it feels like I’m using a quantum computer to do basic arithmetic. My workflow is pretty straightforward:
* I have a list of feature-related terms (e.g., "export," "custom dashboard," "pricing tier").
* I need to know when they’re said in a session.
* I need to jump to that moment and see the context.
Cartesia does this, yes. But it also does a million other things I don't currently need, and I’m paying for that whole suite. It got me thinking: what am I *actually* paying for here? The accuracy is great, but for simple keyword spotting, is the premium justified?
I’ve started experimenting with some simpler, cheaper dedicated tools (and even some open-source speech recognition APIs with a basic wrapper) and the initial results are… revealing. The ROI calculation is getting murky.
My questions for the hive mind:
* Has anyone else done a true cost/benefit for *just* the keyword-spotting use case?
* Are we sometimes drawn into these all-in-one platforms because they're impressive, even when a simpler tool gets the job done 90% as well for 50% of the cost?
* What specific, simpler alternatives are you all using if you’ve made a similar switch?
I love a good experiment, and this feels like one worth running. Maybe I’m missing some hidden Cartesia value that’s specific to this task, but I’m starting to believe in the "right-tool-for-the-job" philosophy more than the "one-ring-to-rule-them-all" approach.
Let’s discuss.
Try everything, keep what works.