What Is an AI Agent?
An AI agent is an AI system that pursues a goal by planning and taking actions across multiple steps, using tools like web search, code execution or APIs. Unlike a single chat response, an agent can decide what to do next, act, observe the result, and continue until the task is done.
How AI agents work
An agent combines a language model (for reasoning and planning) with tools it can call and a loop that lets it act, observe outcomes, and adjust. This lets it handle multi-step tasks like research, booking or coding workflows.
Agents, orchestration and reliability
Complex tasks often use several agents or models coordinated by an orchestration layer. Cross-checking an agent’s key decisions across multiple models reduces the risk of compounding errors over many steps.
See it in action
Allecta applies ai agent directly: it queries several leading AI models in parallel and synthesizes one cross-verified answer with consensus scoring — so you get the benefit of this concept without building anything.
Try Allecta free →AI Agent: FAQ
What is the difference between an AI agent and a chatbot?
A chatbot responds to messages; an agent takes actions over multiple steps using tools to accomplish a goal.
Are AI agents reliable?
Reliability improves with grounding, guardrails and cross-model verification of important decisions, which is why orchestration and consensus matter for agentic systems.