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Learn how routing across multiple LLM providers cuts costs 40-85% while maintaining quality, with concrete patterns for static rules, classifiers, embeddings, and hybrid approaches.
The architecture pattern behind production agentic AI isn't about the model. It's about routing cheap models for retrieval and triage, reserving frontier models only for reasoning-critical paths.
Stop counting lines of code and commits. Real AI ROI comes from optimizing business processes, not inflating code metrics.
A practical decision matrix for choosing between LLM APIs and self-hosted models, with a phased migration playbook drawn from real production experience at Neeva, TikTok, and enterprise deployments.