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Production-Grade Evaluation Strategies for LLMs, RAG, Agents, and Multi-Agent Systems

A production playbook for evaluating LLM applications across model, response, component, trajectory, outcome and online layers—covering RAG, single agents, multi-agent architectures, judges, release gates, tooling and a banking worked example.

AI Playbook2026-07-2836 min readadvanced

Executive takeaway

A production playbook for evaluating LLM applications across model, response, component, trajectory, outcome and online layers—covering RAG, single agents, multi-agent architectures, judges, release gates, tooling and a banking worked example.

In this briefing

  1. Key ideas
  2. Practical implications
  3. What to do next

Why it matters

Use this briefing to decide whether to deep-dive the full article for your current delivery problem.

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