Most voice AI startups ignore this...

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β€œπ˜ π˜ͺ𝘯𝘡𝘦𝘳𝘳𝘢𝘱𝘡𝘦π˜₯ 𝘡𝘩𝘦 𝘒𝘨𝘦𝘯𝘡, 𝘣𝘢𝘡 𝘸𝘩𝘺 π˜₯𝘰𝘦𝘴 π˜ͺ𝘡 𝘴𝘡π˜ͺ𝘭𝘭 𝘴𝘩𝘰𝘸 𝘡𝘩𝘦 𝘧𝘢𝘭𝘭 𝘈𝘐 𝘳𝘦𝘴𝘱𝘰𝘯𝘴𝘦 π˜ͺ𝘯 𝘡𝘩𝘦 𝘡𝘳𝘒𝘯𝘴𝘀𝘳π˜ͺ𝘱𝘡?”


This is a common problem in voice AI.

When the transcript shows the full response even after an interruption, two things go wrong:

1. It misrepresents the real conversation.

2. It gives the AI wrong context β€” because in reality, the agent never got to finish speaking.


Most teams ignore this, but it directly affects LLM accuracy and trust.


At , we’re solving these small but critical details that make conversations feel real and reliable.

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