Behavior-preserving modernization
A modernization approach that documents the current system’s observable inputs, outputs, calculations, permissions, workflow states, and exceptions before replacement so intentional changes can be separated from accidental drift.
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Parity testing
Comparison testing that runs representative scenarios through current and replacement paths, then records where outputs, calculations, workflow states, or permissions differ.
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Service seam
A controlled integration boundary where a new API or component can be introduced beside a legacy system without replacing every dependency at once.
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Strangler-fig modernization
An incremental modernization pattern that places new services around a legacy system and moves bounded behavior over time instead of relying on one high-risk rewrite cutover.
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Human-reviewed AI
An AI workflow in which generated output remains proposed work until a named reviewer can inspect evidence, edit, approve, reject, block, or escalate it under explicit rules.
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Review gate
A named workflow checkpoint that prevents an AI output or modernization change from moving downstream until evidence, ownership, and acceptance criteria are satisfied.
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Blocked action
A requested or generated action that the workflow refuses to execute because authority, evidence, confidence, source support, or policy conditions are not satisfied.
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Source-bound output
An output whose allowed evidence, source references, access scope, and refusal behavior are explicitly defined rather than inferred from unrestricted model context.
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Governed RAG
Retrieval-augmented generation with source ownership, access controls, provenance, content states, citations, stale-content handling, evaluation, refusal rules, and human escalation.
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Trust state
A visible content status such as approved, draft, quarantined, stale, or rejected that controls whether and how a source may be used by a knowledge workflow.
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Gold-answer set
A reviewed collection of representative questions, expected evidence, acceptable answers, refusals, and failure examples used to compare AI workflow versions.
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AI drift
A meaningful change in AI workflow behavior caused by model, prompt, retrieval, source, tool, or policy changes that may affect quality, refusal, consistency, or risk.
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Browser-local diagnostic
A risk-mapping utility that processes sanitized text inside the user’s browser without sending the pasted description to a server or model provider.
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UAIX / .uai memory package
A portable, reviewable package format for project context, decisions, boundaries, and handoff artifacts. It is context and evidence, not runtime authority.
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Claim-to-evidence ledger
A structured map that links a public claim to an evidence route, evidence type, maturity status, related service, and confidentiality boundary.
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