Agent Architecture Articles
9 articles
Claude 4.6 broke our production agent in two hours — here's what's worth the migration
A practical developer guide to Claude 4.6 — adaptive thinking, 1M context, compaction API, tool search, and structured outputs. Real code examples in TypeScript and Python for building production AI agents.
Agentic AI in Production: From Prototype to Reliable Service
Ship agentic AI that doesn't break at 2 AM. Covers orchestration patterns (ReAct, planning loops), error handling, circuit breakers, graceful degradation, observability, and scaling — with TypeScript implementations you can steal.
Multimodal AI Agents: Voice, Vision, and Text in Production
How to architect multimodal AI agents that process voice, vision, and text simultaneously — from STT→LLM→TTS pipelines to vision integration, latency budgets, and production fusion strategies.
Voice Agent Platform Architecture: The Stack Behind Sub-300ms Responses
Deep dive into voice agent architecture — the STT→LLM→TTS pipeline, latency budgets, interruption handling, WebRTC vs WebSocket transport, and what orchestration platforms leave on the table.
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.
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.
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.
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.
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.
Learn Agentic AI
One lesson a week — practical techniques for building, testing, and shipping AI agents. From prompt engineering to production monitoring. Learn by doing.
