How to write about it — Evaluating an AI assistant: quality, cost and latency explained
Structure, tips and best practices for writing about this topic
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Build a practical evaluation process for your AI feature using representative cases, human criteria and production feedback.
Recommended structure
- IntroductionBuild a practical evaluation process for your AI feature using representative cases, human criteria and production feedback.
- LLM evaluation
- GenAI
- Quality assurance
- AI monitoring
- ConclusionEvaluate the task users need completed, not merely whether an answer sounds persuasive or passes a single automated score.
Angles to cover
Writing tips
- Start with a concrete problem your reader is facing
- Use real examples — abstract explanations lose readers quickly
- Break long paragraphs into scannable sections with clear headings
- End every section with an actionable insight, not just information
The essential point : Evaluate the task users need completed, not merely whether an answer sounds persuasive or passes a single automated score.
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