Reference Page
Glossary
A plain-English reference for the terms that show up in production AI conversations. Built for technical leaders, founders, and buyers who need clarity before they scope delivery.
Agent workflow
A multi-step process where an AI system plans, uses tools, evaluates intermediate results, and moves work forward toward an operational outcome.
Async architecture
A system design that decouples user requests from long-running background work so latency, retries, and failures are handled more safely.
Evaluation
The process of measuring output quality, reliability, and business usefulness before an AI capability is trusted in production.
Event-driven system
An architecture where components react to events or messages rather than forcing everything through a single synchronous request path.
Grounding
Anchoring model output to trusted source material so responses are more relevant, current, and explainable.
Guardrails
Rules, checks, filters, or policy controls used to keep AI behavior within acceptable operational and compliance boundaries.
Human in the loop
A control pattern where a person reviews, approves, or overrides AI output before a high-risk action is finalized.
Observability
The ability to understand what the system is doing through logs, traces, metrics, evaluation signals, and audit history.
Orchestration
The logic that coordinates models, tools, workflows, approvals, and retries so a multi-step AI task executes reliably.
RAG
Short for retrieval-augmented generation, a pattern that fetches relevant source material and uses it to improve model output.
Reliability envelope
The range of operating conditions under which a system can consistently perform without unacceptable failure, drift, or response quality loss.
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