An inside look at how we bypassed the browser DOM and Cloudflare routing constraints to achieve 20ms biological latency for voice AI.
Traditional web applications use standard WebRTC or MediaRecorder APIs to capture voice. These APIs are inherently designed to buffer large chunks of audio (typically 1000ms or more) before finalizing a blob. This introduces a massive, unavoidable "Braking Distance." Your user finishes a sentence, but the browser forces them to wait a full second before the data even hits the network.
NeuralPipe bypasses this entirely. We tap directly into the microphone's Float32 voltage arrays. Our Base64-compiled WASM core slices these arrays into microscopic 250ms chunks, resamples them instantly to 16kHz PCM16, and fires them over a raw WebSocket.
Mobile connections are fragile. If you hold a direct WebSocket from a mobile phone to Google Gemini, the moment the user enters a tunnel or switches cell towers, the socket drops. Google deletes the session context, and the AI forgets the entire conversation.
We solved this by anchoring the persistence at the Edge. When your user connects, they connect to a Cloudflare Durable Object located in their nearest datacenter. The Durable Object opens the permanent WebSocket to Google.
If the user's phone drops the connection, the Durable Object keeps the Google socket alive. When the user regains signal 5 seconds later, they instantly reattach to the exact same Durable Object, and the conversation continues flawlessly.
Realtime APIs bill you for the entire duration of the connection, including silence. In a typical 60-minute conversation, up to 20 minutes is dead air (breathing, pausing, thinking).
Because the NeuralPipe WASM engine runs directly on the user's device, it applies Zero-VAD (Voice Activity Detection) *before* the data hits the network. The silent chunks are simply dropped locally. Your Cloudflare node only forwards the hyper-dense, spoken audio to the LLM, effectively reducing your API token costs by 30-40%.