Foundations
The ideas behind systems that reason, act, and adapt.
In this topic
8 article- 01Foundations
AI agent
A system that uses a model to choose actions, observe their results, and work toward a goal within defined limits.
- 04Foundations
Agent orchestration
How software coordinates model decisions, tools, state, and delegated work while retaining clear stopping and authority boundaries.
- 07Foundations
Agent evaluation
How to test an agent’s outcomes, interaction history, reliability, and limits without confusing a benchmark score with a deployment guarantee.
- 08Foundations
Prompt injection
When untrusted text attempts to redirect an AI system, crossing the boundary between material to process and instructions the system should follow.
- 13Foundations
Agent observability
How traces, metrics and event records help explain an agent run, while keeping operational evidence distinct from factual evaluation and audit authority.
- 14Foundations
Human oversight
How people can inspect, interrupt, correct and govern agent behavior, with explicit distinctions between action approval, later review and technical enforcement.
- 15Foundations
Context engineering
How an agent selects and maintains the information available for each model call, with separate boundaries for memory, retrieval and authority.
- 19Foundations
Agent budgets and termination
How an agent bounds turns, requests, time and paid work, and reports incomplete or uncertain outcomes when a limit stops execution.