AI Agent
An AI agent is a system that takes a goal, breaks it into steps, and executes those steps autonomously—calling tools, reading results, adjusting course—without a human approving each action. Where a chatbot waits for your next prompt, an agent decides what to do next on its own. The concept borrows from reinforcement learning and robotics, but the current wave runs on large language models that can reason about which tool to use when. Agents are powerful when the task has clear success criteria and bounded risk. They are dangerous when the goal is vague, the environment is unfamiliar, or the cost of a wrong action is high. Most production agent systems today still need tight guardrails and human checkpoints—full autonomy remains more demo than reality.
Related terms:
Model Context Protocol (MCP)
Model Context Protocol (MCP) is an open standard from Anthropic that standardizes how AI models connect to external tools and data sources via a...
Custom AI vs. SaaS AI
SaaS AI is a ready-made vendor model—like ChatGPT Enterprise—fast to deploy but constrained by the vendor’s architecture and roadmap.
Prompt Injection
Prompt injection is an attack where a user or data source inserts instructions that override a language model’s intended behavior.