Explainer · 9 min read · July 30, 2026
Every time you unlock your phone, tap through three apps and type a reply, you lose 90 seconds. Voice-native command layers built on real-time speech-to-speech models take that step out. Here is how the architecture works and why it is faster than what came before.
Comparison · 9 min read · July 30, 2026
Building a voice app in 2026 means choosing between one integrated real-time model and a stitched pipeline of specialist components. Here are the latency numbers, the cost per minute, the tooling support and the voice quality trade-offs, so you know what each approach costs you and what it buys.
Use Cases · 9 min read · July 30, 2026
Triage investor email in Gmail, mark a Linear PR merged, put a follow-up on your calendar, all without unlocking your screen. These are the ten commands that turn a voice assistant wired into your tools into something you use every day.
Ultimate Guide · 10 min read · July 30, 2026
Model Context Protocol servers are what let one AI session reach across Gmail, Slack, Linear, Asana and Notion without rebuilding integrations from scratch. This guide covers what MCP servers are, how they attach to a live voice session over the OpenAI Realtime API, and how to keep tool schemas lean enough that your assistant stays fast.
Comparison · 9 min read · July 30, 2026
Should your voice app wait for a tap or listen all the time? The choice between push-to-talk and wake-word activation shapes latency, battery life, privacy exposure and how reliably you can get at the mic on iOS. Here is how both approaches compare on the numbers that decide it.