Engineering Guide

Production Voice AI with Groq Orpheus TTS

We deployed Groq's Orpheus TTS to production and discovered that model quality isn't the hard part. State ownership is. Download our complete engineering guide.

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Orpheus TTS
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Downloadable Resources

Everything You Need to Ship Voice AI

From executive overview to implementation code, we've documented the complete journey.

Thought Leadership

The Hidden Architecture Problem in Voice AI

Executive-level analysis of why voice AI demos succeed but production deployments fail. Introduces the Three Laws of Real-Time State Management and provides strategic guidance for enterprise teams evaluating voice AI platforms.

12 pages
15 min read
For executives
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Technical Deep-Dive

...And How We Fixed It: Production Patterns for Groq Orpheus TTS

Complete engineering guide with code patterns for WebSocket lifecycle management, audio streaming architecture, and production testing strategies. Includes working JavaScript/TypeScript examples for both backend and frontend.

11 pages
15 min read
For engineers
Download PDF
Featured Article

Read the Full Story

The narrative version of our engineering journey, optimized for sharing.

Engineering Blog

Here's What Broke (And How We Fixed It)

A deep-dive into the WebSocket lifecycle and audio streaming challenges we encountered.

Technical Blog Post

We Shipped Groq Orpheus TTS to Production - Here's What Broke

Groq's Orpheus TTS is fast. Really fast. Sub-200ms time-to-first-byte. But when we shipped it to production, users reported that the second message was silent. Then audio streams wouldn't complete. This post shares exactly what broke and the architectural patterns that fixed it.

WebSocket Audio Streaming State Management Groq API Production
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Key Takeaways

The Three Laws of Real-Time State Management

Universal principles for building production-grade streaming systems.

Law 1: Ownership

Every resource must have exactly one owner at any time. When ownership transfers, the previous owner must explicitly release it.

Law 2: Cleanup

All cleanup functions must be idempotent. It must be safe to call cleanup multiple times without side effects.

Law 3: Completion

Stream completion must be explicit, never inferred. Guarantee exactly-once delivery of completion signals.

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