RAG Retrieval and Citation Quality Evaluation Lab
Design and run an evidence-grounded RAG evaluation that separates corpus, retrieval, context, generation, citation, and abstention failures and establishes reproducible regression gates.
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Design and run an evidence-grounded RAG evaluation that separates corpus, retrieval, context, generation, citation, and abstention failures and establishes reproducible regression gates.
Design reproducible review screening and extraction with explicit eligibility, conservative deduplication, independent decisions, provenance, appraisal, and reconciled flow reporting.
Audit multimodal course materials, identify barriers across their actual delivery environments, and produce prioritized, learning-equivalent remediation and verification plans.
Reproduce a web accessibility regression, trace it to the responsible code, apply a focused WCAG-informed repair, and add automated and human verification.
Design reliable AI agent tool execution that survives timeouts, retries, duplicate delivery, partial effects, stale approvals, and uncertain recovery.
Design a customer-facing AI escalation system with risk triggers, human routing, data-minimized handoffs, service ownership, continuity controls, and quality feedback.
Evaluate a candidate AI model against the current production model and produce evidence-based release, canary, monitoring, and rollback decisions.
Assess an executive role using current evidence on its mandate, company, leadership, finances, governance, culture, compensation, risks, and unresolved diligence questions.
Find where untrusted runtime data bypasses TypeScript assumptions, add focused validation and error handling, and verify compatible behavior across affected consumers.
Reconcile SaaS contracts, assigned seats, meaningful usage, shadow applications, access risks, duplicate tools and renewal options without disrupting critical work.
Audit a Google Tag Manager conversion-tracking implementation for missing or duplicate events, broken triggers and parameters, consent errors, platform discrepancies, and unsafe release changes.
Audit a Zapier Zap or Make scenario for brittle steps, duplicate actions, unsafe retries, mapping defects, concurrency risks, silent failures, and weak monitoring, then produce a tested remediation plan.