Knowledge Base
Technical definitions and context for the AI engineering concepts that matter most in production. Each entry covers the definition, origin, use cases, and related technologies.
A discipline that applies reliability engineering principles to AI systems — ensuring consistent, auditable, and recoverable behavior in production.
An autonomous software system that uses large language models to reason, plan, and execute multi-step tasks by interacting with tools and data sources.
An open protocol by Anthropic that standardizes how AI applications connect to external tools and data sources.