February 10, 20266 min read
The AI Optimization Loop
A practical AI Ops loop: clarify intent, define the judge, pick the model, shape prompts, execute, score, and iterate with evidence.
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Insights on AI operations, context engineering, and enterprise AI.
A practical AI Ops loop: clarify intent, define the judge, pick the model, shape prompts, execute, score, and iterate with evidence.
Reliable LLM services need multi-endpoints, multi-provider isolation, and robust context engineering to keep outputs consistent.
Context engineering is less about clever prompts and more about giving models the right memory, rules, and evidence at the right moment.