AI Glossary
AI Agent
An AI system that can plan, execute actions, and use tools autonomously to complete complex tasks.
An AI agent is a step beyond a chatbot. While a chatbot answers questions, an agent makes decisions and executes actions.
Components of an agent
- Language model: the brain that reasons and plans
- Tools: APIs, databases, browser, email — the agent's hands
- Memory: conversation context and persistent data
- Reasoning loop: the agent evaluates whether it has completed the task or needs more steps
Types of agents
- Conversational agents: serve customers, qualify leads, schedule appointments
- Research agents: search information, analyze documents, generate reports
- Execution agents: process orders, update CRMs, send invoices
When to use an agent vs a workflow
Use a workflow (n8n, Make) when the process is predictable and linear. Use an agent when there are context-dependent decisions that can vary.
Related services
Related terms
RAG (Retrieval-Augmented Generation)
Technique that combines search in a proprietary knowledge base with AI text generation, enabling accurate responses based on your data.
Prompt Engineering
The discipline of designing precise instructions for AI models that maximize the quality and relevance of responses.
LLM (Large Language Model)
An artificial intelligence model trained on large volumes of text that can understand and generate natural language with high quality.
Fine-tuning
Process of retraining an AI model with your company's specific data so it specializes in your domain or tone.
Want to apply this to your business?
Book a free diagnostic and we'll show you how to integrate AI with results.
Book diagnostic