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quality

Analysis and intelligence from AI&Scale tagged “quality”.

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AI Release Management: Deploying Model Changes Without ChaosScaling AI · Operator Notes

AI Release Management: Deploying Model Changes Without Chaos

In classic software, release management usually concerns application code. In AI systems, a release includes far more elements at once: base model, system prompt, tools, safety rules, refusal policies, model routing,…

2026-06-01·7 min read
Observability for AI: How to Monitor Non-Deterministic SystemsScaling AI · Operator Notes

Observability for AI: How to Monitor Non-Deterministic Systems

Classic application monitoring relies on a simple assumption: the same input should produce the same output or a predictable error. AI systems, especially those based on language models and tool-using agents, break th…

2026-06-01·5 min read
LLMOps for Leaders: What Matters Without the Technical DetailScaling AI · Board Brief

LLMOps for Leaders: What Matters Without the Technical Detail

In many companies, the LLMOps conversation quickly becomes a technical acronym stream: embeddings, orchestrators, evaluations, guardrails, observability, model routing. For boards and executive teams, this is often no…

2026-06-01·6 min read