How to have DeepSeek create detailed JSON architecture plans for Claude to implement. This tutorial walks through building a Node.js orchestration layer with a React frontend that demonstrates a multi-model AI workflow in action.

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A step-by-step guide to building a hybrid AI workflow that routes complex reasoning tasks to DeepSeek-R1 and code generation to Claude Sonnet 4. The tutorial covers building a Node.js orchestration layer with Express, a complexity router using keyword heuristics, and a React frontend with dual-panel display. Key topics include cost optimization (R1 output tokens at $2.19/M vs Sonnet's $15/M), latency management with timeouts and fallbacks, structured JSON plan passing between models, and production hardening with rate limiting, structured logging, and retry logic.

How to Use DeepSeek R1 for Orchestration of Claude Code

How to Build a DeepSeek-R1 + Claude Sonnet Hybrid Workflow

Understanding the Strengths of Each Model

Building the Orchestration Layer in Node.js