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AI-QA

Projects

AI quality systems with architecture, code signal, and measurable impact.

> initializing_ai_quality_engineer.exe

> loading_playwright_framework...

> validating_llm_responses...

> scanning_agentic_tool_calls...

> publishing_quality_signal: PASS

Voice AI Quality

Scout Integration AI Voice Agent

Problem: Validate an AI voice agent that handles real-time user intent, tool calls, and ambiguous conversation paths.

Architecture: Voice pipeline with transcription, LLM orchestration, tool routing, conversation memory, telemetry, and eval gates.

OpenAI APILangChainPlaywrightDeepEvalAWS
eval.spec.ts
await evalVoiceAgent({ intent: 'schedule_demo', latencyBudget: 1200, grounded: true })
32% faster triage
18% higher intent pass rate
24/7 eval suite

Agentic Search

Solution Scout

Problem: Improve solution discovery across complex product knowledge while reducing hallucinated recommendations.

Architecture: RAG workflows, prompt regression tests, retrieval quality scoring, citation checks, and agent trace review.

LangGraphPromptFooMCPPythonOpenAI API
eval.spec.ts
promptfoo eval --config solution-scout.yaml --grader groundedness
41% fewer bad answers
2.3x faster QA review
traceable responses

AI Trust & Safety

Honor Shield

Problem: Catch policy-risk responses, jailbreak attempts, and low-confidence model behavior before release.

Architecture: Safety test matrix, synthetic adversarial prompts, confidence thresholds, audit reports, and CI release blocks.

DeepEvalPythonCI/CDAWSAPI Testing
eval.spec.ts
assert_safety(response, policy='academic_integrity', min_score=0.92)
58% expanded risk coverage
zero critical escapes
release-ready evidence

Cloud QA Platform

Uversity

Problem: Scale automation and quality telemetry across web, API, data, and AI-powered learning workflows.

Architecture: Cloud execution grid, contract tests, Playwright suites, API checks, perf baselines, and quality dashboards.

PlaywrightAWSSeleniumRobot FrameworkGrafana
eval.spec.ts
npx playwright test --project=chromium --grep @critical --shard=1/4
80%+ E2E coverage
30% faster runs
20% fewer flakes