The AI terms that
actually matter.
Clear, technical definitions of 146 key concepts — written by AI engineers, not marketers.
Agent Evaluation
Agent Evaluation encompasses the frameworks, metrics, and methodologies used to assess the performance, reliability, safety, and reasoning capabilities of autonomous AI agents across dynamic, multi-step trajectories.
Read definitionAgent Harness
An agent harness is the software infrastructure wrapped around a large language model that turns it from a text generator into an autonomous agent — the orchestration loop that calls the model, executes its tool calls, manages context and memory, enforces guardrails, and decides when the task is done. Tools like Claude Code, OpenClaw, and Zhipu's ZCode are harnesses.
Read definitionAgent Skills
Agent Skills are modular, self-contained packages of instructions, code, and resources that AI agents can discover and load on demand — extending an agent's capabilities without retraining the underlying model.
Read definitionAgent-User Interaction Protocol (AG-UI)
AG-UI is an open, event-based protocol that standardizes how an AI agent's backend streams to a user-facing frontend: text tokens, tool calls, and shared-state updates all travel as typed events over a transport such as Server-Sent Events, instead of a bespoke, framework-specific wire format. Where the Model Context Protocol connects an agent to tools and A2A connects one agent to another, AG-UI is the third leg: the interface between an agent and the human watching it work.
Read definitionAgent2Agent Protocol (A2A)
A2A is an open standard, originally from Google and now stewarded under the Linux Foundation, that lets independent AI agents discover each other, negotiate how to communicate, and delegate long-running tasks across organizational and vendor boundaries. Where the Model Context Protocol connects one agent to its tools, A2A connects agents to other agents as opaque peers, without exposing their internal prompts, memory, or toolchains.
Read definitionAgentic AI
Agentic AI refers to AI systems that autonomously pursue goals by planning multi-step actions, calling external tools, and adapting based on outcomes — with minimal human intervention at each step.
Read definitionAgentic Commerce Protocols (UCP, ACP, AP2)
Agentic commerce protocols are the open standards that let an AI agent shop and pay on a person's behalf. The Universal Commerce Protocol (UCP) and the Agentic Commerce Protocol (ACP) define how an agent discovers products, builds a cart and checks out with a merchant, while the Agent Payments Protocol (AP2) defines how the agent's authority to spend is proven with cryptographically signed mandates. They are layers of one stack rather than rivals, and they sit alongside MCP and A2A.
Read definitionAgentic RAG
Agentic RAG enhances traditional Retrieval-Augmented Generation by introducing autonomous agents that dynamically plan, route, and perform multi-step information retrieval using various tools.
Read definitionAI Memory
AI Memory refers to the mechanisms and architectures by which LLMs and autonomous agents store, retrieve, and use information across time — from a single context window to persistent, queryable long-term storage.
Read definitionANN (Approximate Nearest Neighbor Search)
Approximate Nearest Neighbor search is a family of algorithms that find vectors close — but not guaranteed to be exactly closest — to a query vector in high-dimensional space, trading a small amount of accuracy for orders-of-magnitude speedups over exact search, making it the foundational retrieval layer behind every modern vector database, RAG system, and semantic search engine.
Read definitionAudio-Native Model
An audio-native model (or native speech-to-speech model) processes and generates audio directly, end-to-end, with no text transcript in between — preserving tone and emotion while cutting the latency of a cascaded voice pipeline.
Read definitionAya 101 LLM (Cohere For AI)
The Aya model by Cohere for AI is a groundbreaking open-source AI initiative, supporting 101 languages to advance multilingual language processing and democratize AI accessibility across diverse linguistic landscapes.
Read definitionStay ahead of the curve
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