Building Production AI Systems Part 4: Multi-Model Orchestration and Context-Aware Routing

Short summary

Argues that production AI systems should move beyond single-model dependencies toward multi-model orchestration, where different models handle tasks matched to their strengths. Covers context-aware routing to reduce costs, multi-agent pipelines where each model handles one task, and the shift from prompt engineering to workflow engineering. Positions orchestration layers like OpenRouter as key infrastructure for this transition.

• •Single-model AI apps are unnecessarily expensive; context-aware routing matches tasks to appropriate models
• •Multi-model pipelines assign specialized tasks to different models, reducing cost and improving performance
• •Competitive advantage shifts from model selection to orchestration: which models, when, and how results merge

Generated with AI, which can make mistakes.