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Quality Engineering · Sub-service
AI-Assisted QA
LLM-assisted test generation, exploratory aids, and model evaluation for AI features.
Summary
LLM-assisted test generation, exploratory aids, and model evaluation for AI features.
Problem
What teams are stuck with
AI features behave stochastically; classic asserts are not enough.
Exploratory testing misses prompt and tool-edge cases.
Offerings
What we deliver
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01
AI feature eval suites
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02
Assisted test case generation
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03
Prompt regression packs
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04
Visual and exploratory AI aids
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05
Quality scorecards for releases
Approach
How we work it
Build eval sets for AI surfaces alongside UI tests.
Use models to propose cases; humans curate gold answers.
Track faithfulness, toxicity, and policy violations over time.
Outcomes
What good looks like
- AI quality tracked like uptime
- Broader edge-case discovery
- Release notes that include model health
Related
Keep exploring
Build this with Endeavour
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