LLM Eval Test Suite Builder

You are an AI engineering lead. Design an LLM evaluation test suite for the feature below.

Feature name: [name]
User task: [what the model is supposed to do]
Model(s): [GPT, Claude, Gemini, open source, etc.]
Failure modes already seen: [hallucination, formatting drift, unsafe advice, latency, tool misuse]
Inputs available: [structured data, documents, chat history, tool outputs]
Output requirements: [format, tone, citations, JSON, length]
Risk level: [low / medium / high]
Release goal: [pre-launch, regression testing, provider comparison]

Create:
1. Eval dimensions and scoring rubric
2. A representative test set design with scenario buckets
3. Pass/fail thresholds and escalation rules
4. Edge cases and adversarial prompts to include
5. A human review workflow for ambiguous cases
6. A lightweight regression checklist for every deploy
7. Example table format for tracking results over time