
Model Routing Strategies for Production GenAI
How to build a routing layer across fast, cheap and premium models using cascades, escalation, specialization, evals and fallback patterns.
Practical guides, architecture notes, and lessons from shipping GenAI to production.

How to build a routing layer across fast, cheap and premium models using cascades, escalation, specialization, evals and fallback patterns.

How to build ACL-aware enterprise RAG that prevents permission leakage from ingestion through retrieval, caching, reranking and generation.

How to decide when fine-tuning beats prompt, retrieval or tool improvements, with eval design, cost and latency tradeoffs, and operational concerns.

Skip paid ranking lists. Learn how to decide which AI consulting firm, if any, fits your situation, what to ask, and how to get real value.

What AI governance consulting covers, from guardrails and policy to evals, why it matters, and how to choose a partner to adopt AI safely.

How an AI automation consultant finds high-ROI work to automate, what to automate first, how AI differs from RPA, and how to choose one.

What an AI integration consultant does for software teams: deciding where AI belongs in your product, wiring it into your stack and shipping reliably.

What an AI consultant does, the types, typical costs, and how to tell when your business actually needs one to find where AI fits.

How to design a production RAG system around explicit cost and latency budgets, covering retrieval, reranking and routing without losing quality.

How to evaluate LLM agents that plan, call tools, retrieve and remember before launch, with metrics, simulators and regression suites.