Trace Consequential Claims to Original Evidence
Apply a repeatable claim-provenance method that traces consequential wording through citations and intermediaries to original evidence, exposing mutation, laundering, and authority gaps.
Reusable AI capabilities
Agent Skills
Use focused capabilities powered by published Amo.ng prompts and workflows. Skills package what to provide, how to use the source asset, and what completion looks like—without pretending to run autonomously.
Diagnose AI Adoption Value Leakage
Trace expected AI value through task selection, adoption, workflow integration, quality, review, rework, exceptions, downstream capacity, and benefit capture to find supported leakage mechanisms.
Calculate AI Cost per Accepted Outcome
Apply a repeatable unit-economics method that allocates AI operating costs to quality-adjusted accepted outcomes rather than raw calls, tokens, tasks, or generated outputs.
Maintain an AI Technical Claim Verification Ledger
Maintain a reusable evidence ledger for AI-generated dependency, API, framework, configuration, command, and version claims throughout software review and release.
Assess AI Evaluation Evidence for Decision Use
Apply a repeatable admissibility method to decide whether AI evaluation evidence is reliable enough for a stated release, monitoring, or operating decision.
Trace Sensitive Context Through AI Systems
Trace sensitive context across retrieval, agent handoffs, memory, tools, logs, caches, and shared workspaces to identify unauthorized propagation and required control changes.
Reconstruct Agent Delegation and Authority Chains
Apply a repeatable principal-chain method to determine which identity acted, what authority was delegated, where context changed, and which actions require repair or review.
Identify Accessibility Barriers in Digital Course Materials
Audit documents, slides, video, audio, images, assessments, and LMS delivery for accessibility barriers, then prioritize learning-equivalent remediation and verification.
Maintain Evidence-Gated API Transition Governance
Maintain a living governance state for an API transition, tracking contracts, clients, compatibility, migration evidence, communications, exceptions, repeated lifecycle gates, sunset criteria, and recovery readiness.
Diagnose RAG Grounding and Retrieval Failures
Evaluate a retrieval-augmented generation system by separating corpus, retrieval, context assembly, answer generation, citation, and abstention failures, then define reproducible regression criteria.
Convert Website UX Evidence into a Testable Experiment
Apply a reusable evidence-to-experiment method that converts website observations, behavior data, and user evidence into a falsifiable UX hypothesis with instrumentation, guardrails, and decision thresholds.
Assess AI Agent Workflow Readiness
Apply a repeatable readiness gate to a proposed AI-supported workflow, test its evidence, controls, ownership, and failure readiness, and issue a bounded proceed, pilot, redesign, or defer decision.