I needed voice guidance for my breathing meditation feature, so I used the OpenAI integration I already had
This covers generation capability or on-device inference progress — worth tracking for model efficiency, deployment cost, and application openings.
A solo app developer integrated OpenAI's Text-to-Speech API to create voice guidance for a breathing meditation feature.…
I’m building a wellness app as a solo founder. Recently, I added voice guidance to the breathing meditation feature. The feature already had: a breathing animation relaxing background music a breathing timer The only thing missing was simple voice guidance: “Inhale” “Hold” “Exhale” I needed to generate these audio files somewhere. Since OpenAI was already integrated into my app, I used its Text-to-Speech API to generate the voice prompts. I created audio files for: welcome inhale hold exhale finish Then I added them to the app as local assets. So now, when the meditation starts, the app doesn’t call OpenAI. It simply plays the pre-generated audio files. This means: ✅ no API call during the session ✅ no internet dependency ✅ faster playback ✅ no recurring cost for this feature It was a small decision, but I liked it because it kept the feature simple. Sometimes AI is useful not because it runs live inside the product, but because it helps you create something once and ship it in a lighter way. Curious if others do this too — using AI during the build process, but not necessarily at runtime?