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Agent Architecture

Browse 18 articles in agent architecture.

Agent Architecture Articles

18 articles · Page 2 of 2

Architecture diagram showing the gap between voice AI orchestration and backend agent infrastructure
Agent Architecture·14 min read

Your Voice AI Platform Is Only Half the Stack

VAPI, Retell, and Bland handle voice orchestration. Memory, testing, prompt versioning, and tool integration? That's all on you. Here's what to build next.

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a padlock on top of a laptop computer - Photo by Sasun Bughdaryan on Unsplash
Agent Architecture·17 min read read

Edge AI for Voice Agents: Fix Latency and Privacy at the Source

How edge AI eliminates 50-200ms of latency and entire classes of privacy risks for voice agents — with hybrid architecture patterns and TypeScript examples.

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man in blue dress shirt sitting on black office rolling chair - Photo by David Schultz on Unsplash
Agent Architecture·22 min read

How Multimodal Voice AI Works: From Audio-Only to Vision-Aware Agents

How multimodal voice AI combines speech, vision, and text into a single agent — architecture patterns, latency tradeoffs, and TypeScript code you can run.

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Man and woman back to back in office - Photo by Vitaly Gariev on Unsplash
Agent Architecture·17 min read

Smarter Escalation: When Should Voice AI Refuse to Answer?

Industry research shows that 60-65% of enterprises struggle with AI escalation decisions, leading to customer frustration and compliance risks. Discover when voice AI should refuse to answer and how to build smarter escalation frameworks.

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text - Photo by Artur Shamsutdinov on Unsplash
Agent Architecture·16 min read

How LLMs Changed Agent Training Forever: From Writing Rules to Writing Prompts

LLMs didn't just improve agent training. They changed the entire discipline. Here's what actually shifted, what works in production, and what the industry still gets wrong.

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women using laptops - Photo by Van Tay Media on Unsplash
Agent Architecture·19 min read

Digital Twins for AI Agents: Simulate Before You Ship

Build digital twins that test your AI agent against thousands of synthetic customers. Architecture, TypeScript code, and the patterns that catch failures.

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