The latency trap: why most voice AI falls short — and how to fix it
When your AI takes even half a second too long to respond, users notice — and trust erodes.
This 20-page executive playbook reveals how to deliver sub-300ms conversational latency at scale — with smoother tone, higher NPS, and zero compromise on quality.
Inside, you’ll discover how to:
- Achieve sub-300ms latency using streaming ASR, optimized prompts, and fast-render TTS — without sacrificing speech quality
- Avoid the “robotic delay” that kills trust — and makes your AI sound like it’s stalling for time
- Optimize for real-world conditions — jitter, packet loss, model loading — with a hardened infrastructure plan
- Benchmark your latency stack — what fast really means, and where most companies bottleneck
- Deliver humanlike pace and tone — the speech tuning tactics that separate bots from agents
- Move fast without compromising CX — what the best dev teams are doing to reduce latency in production without sacrificing quality
Built for tech, product, and AI leads who need their agents to feel like humans — not scripted support macros.
When your AI takes even half a second too long to respond, users notice — and trust erodes.
This 20-page executive playbook reveals how to deliver sub-300ms conversational latency at scale — with smoother tone, higher NPS, and zero compromise on quality.
Inside, you’ll discover how to:
- Achieve sub-300ms latency using streaming ASR, optimized prompts, and fast-render TTS — without sacrificing speech quality
- Avoid the “robotic delay” that kills trust — and makes your AI sound like it’s stalling for time
- Optimize for real-world conditions — jitter, packet loss, model loading — with a hardened infrastructure plan
- Benchmark your latency stack — what fast really means, and where most companies bottleneck
- Deliver humanlike pace and tone — the speech tuning tactics that separate bots from agents
- Move fast without compromising CX — what the best dev teams are doing to reduce latency in production without sacrificing quality
Built for tech, product, and AI leads who need their agents to feel like humans — not scripted support macros.
When your AI takes even half a second too long to respond, users notice — and trust erodes.
This 20-page executive playbook reveals how to deliver sub-300ms conversational latency at scale — with smoother tone, higher NPS, and zero compromise on quality.
Inside, you’ll discover how to:
- Achieve sub-300ms latency using streaming ASR, optimized prompts, and fast-render TTS — without sacrificing speech quality
- Avoid the “robotic delay” that kills trust — and makes your AI sound like it’s stalling for time
- Optimize for real-world conditions — jitter, packet loss, model loading — with a hardened infrastructure plan
- Benchmark your latency stack — what fast really means, and where most companies bottleneck
- Deliver humanlike pace and tone — the speech tuning tactics that separate bots from agents
- Move fast without compromising CX — what the best dev teams are doing to reduce latency in production without sacrificing quality
Built for tech, product, and AI leads who need their agents to feel like humans — not scripted support macros.