Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
A communication platform provider supports developers in building real-time video and audio applications across a global edge network.
Creating multimodal AI agents required extensive manual configuration, with voice integration alone demanding 400 lines of code. This complexity...
“ElevenLabs made it easy for us to quickly bring powerful text-to-speech capabilities to our SDK, allowing Agents to respond in real time with expressive voices to user questions or as feedback to what it’s seeing.”
API platform for building real-time chat, video, and activity feeds.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Stream's AI agent development is part of this use case:
Related implementations across industries and use cases
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Phone-based onboarding sounded robotic across three languages. Natural AI voices turned calls into conversations frontline workers trust.
Logs scattered across five systems, often pieced together by the wrong engineer: incidents took days. AI agents now diagnose in minutes.
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Most games shipped silently—adding audio meant leaving the platform to license tracks. Now every game ships with an AI-generated soundtrack.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
A communication platform provider supports developers in building real-time video and audio applications across a global edge network.
Creating multimodal AI agents required extensive manual configuration, with voice integration alone demanding 400 lines of code. This complexity...
“ElevenLabs made it easy for us to quickly bring powerful text-to-speech capabilities to our SDK, allowing Agents to respond in real time with expressive voices to user questions or as feedback to what it’s seeing.”
API platform for building real-time chat, video, and activity feeds.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Stream's AI agent development is part of this use case:
Related implementations across industries and use cases
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Phone-based onboarding sounded robotic across three languages. Natural AI voices turned calls into conversations frontline workers trust.
Logs scattered across five systems, often pieced together by the wrong engineer: incidents took days. AI agents now diagnose in minutes.
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Most games shipped silently—adding audio meant leaving the platform to license tracks. Now every game ships with an AI-generated soundtrack.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.