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Insights on Voice AI

Engineering deep dives into production-grade conversational infrastructure.

Multimodal agent harness for voice and vision
September 29, 2026

How We Built Our Multimodal Agent Harness

Adding images and live camera to a real-time voice loop is a systems problem. The engineering behind a unified multimodal pipeline: on-device frame resizing, one-frame-per-second throttling, and an auditable record of what the agent actually saw.

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GPT-Live-1 Architecture
September 16, 2026

Is GPT-Live-1, OpenAI's Full-Duplex Model, Ready for Production?

The media path is simpler and the conversation is more natural. A technical breakdown of GPT-Live-1's architecture, its $0.05/min pricing, and the production controls that still belong outside the model.

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Voice AI Observability In Production
June 22, 2026

Voice AI Observability In Production: What To Track On Every Call

What to track on every production voice call across system, audio, conversation, and operations layers, so failures get localized and routed to the right owner.

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Voice AI Observability
May 2, 2026

Voice AI Observability for Speech to Speech Models

Every voice AI deployment sits at a wall: "how do we know it's working?" This is how we built Lens to solve the observability gap in production speech-to-speech models.

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Full Duplex Speech Models
May 1, 2026

What Full-Duplex Speech Models Actually Change in Voice AI

Full-duplex speech models eliminate the format conversion step where cascaded voice AI loses tone, emotion, and context. The architectural case, with real numbers.

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