Monorepo Boundary and Build-Cost Diagnostic
Diagnose monorepo dependency boundaries, affected-task selection, cache correctness, and CI cost using repository evidence, then design measurable, regression-safe optimization experiments.
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Recurring Revenue Leakage Reconciliation
Reconcile recurring revenue from contract through reporting, distinguish genuine leakage from valid commercial and accounting differences, and produce a controlled recovery and prevention plan.
API Deprecation and Client Migration Playbook
Plan an evidence-based API deprecation with behavioural compatibility checks, verified client migration, lifecycle communications, time-bound exceptions, rollback readiness, and a controlled sunset decision.
MCP Connector Permission and Data-Boundary Review
Assess an MCP connection’s capabilities, authorization, token handling, data flows, user consent, side effects, and reapproval controls before enabling or renewing access.
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.
Systematic Review Screening and Evidence Extraction Protocol
Design reproducible review screening and extraction with explicit eligibility, conservative deduplication, independent decisions, provenance, appraisal, and reconciled flow reporting.
Accessible Course Materials Multimodal QA
Audit multimodal course materials, identify barriers across their actual delivery environments, and produce prioritized, learning-equivalent remediation and verification plans.
Web Accessibility Regression Repair Guide
Reproduce a web accessibility regression, trace it to the responsible code, apply a focused WCAG-informed repair, and add automated and human verification.
Agent Tool-Call Recovery and Idempotency Design
Design reliable AI agent tool execution that survives timeouts, retries, duplicate delivery, partial effects, stale approvals, and uncertain recovery.
Human Escalation Design for Customer-Facing AI
Design a customer-facing AI escalation system with risk triggers, human routing, data-minimized handoffs, service ownership, continuity controls, and quality feedback.
AI Model Upgrade Regression and Rollback Readiness Pack
Evaluate a candidate AI model against the current production model and produce evidence-based release, canary, monitoring, and rollback decisions.
Executive Job Opportunity Due Diligence Brief
Assess an executive role using current evidence on its mandate, company, leadership, finances, governance, culture, compensation, risks, and unresolved diligence questions.