Latent.Space(@latentspacepod):🆕 We’re launching a new Forward Deployed Engineering pod with @realbasilchatha! https://t.co/f72WeSeLXs In just the last few months, $9B+ has been committed by OpenAI, Anthropic, Google, and Microsoft to deploy AI into the enterprise. Model capabilities are there, but it takes a lot to make them reliable and usable for customers at scale. In our pilot episode, we dive deep into the practical realities of building enterprise voice agents with @decagon, @vapi, @retell, @smallest_ai, and @daily. We talk about: -> Why STT -> LLM -> TTS pipelines are used instead of voice-to-voice models -> How to balance intelligence vs latency for different use cases -> Why turn-taking is still not a solved problem Check it out!

2026.08.25 22:33

🆕 We’re launching a new Forward Deployed Engineering pod with @realbasilchatha! In just the last few months, $9B+ has been committed by OpenAI, Anthropic, Google, and Microsoft to deploy AI into the enterprise. Model capabilities are there, but it takes a lot to make them reliable and usable for customers at scale. In our pilot episode, we dive deep into the practical realities of building enterprise voice agents with @decagon, @vapi, @retell, @smallest_ai, and @daily. We talk about: -> Why STT -> LLM -> TTS pipelines are used instead of voice-to-voice models -> How to balance intelligence vs latency for different use cases -> Why turn-taking is still not a solved problem Check it out!