Congrats to @Thobey_Campion and the @lore_machine team on blowing up in South Korea!
Lore Machine is a US-based interactive storytelling platform that started seeing massive organic traction in South Korea. They needed to move fast to capture momentum but had to do so without having to spin up a full localization effort.
By integrating Inworld's Realtime TTS-2, they brought Korean voice-over support to tens of thousands of users almost immediately.
Can't wait to see where this goes next!
We just shipped something nobody else has.
Our STT API doesn't just transcribe, it returns a full voice profile in the same response: emotion, accent, age, pitch, style, each with a confidence score, all in one call.
When you feed that into our Realtime API, the LLM decides not just what to say but how to say it. It adds steering tags that our TTS-2 model picks up and uses to guide how it speaks. So, if a user sounds frustrated, the voice responds with empathy. If they're excited, it matches that energy.
Here's our very own @ClintMcLean_ walking you through how the full pipeline works:
@realEstateTrent Its tough but the way I’m figuring it out is waking up at dawn and doing my stuff (working out, some cleaning) before my wife and daughter wake up
@paulg@omuinetimi Yeah
Early adopters tend to be those have had to hack some problem due to lack of privilege. They don’t have a ready-made-throw-money-at-this-problem fix, so they have to get creative.
Increasingly believe that the "good, cheap, fast—choose two" maxim is devious misinformation spread by the slow.
In my experience, "slow" and "expensive" usually go together. I was in a meeting yesterday where lopping a year off a project schedule also ended up reducing the cost substantially. Fundamentally, it takes time to spend, and adding the temporal constraint tends to make things simpler and more efficient.