AI Agents

AI agents are autonomous software systems powered by large language models that can understand goals, plan actions, use tools, and interact with users and external systems to accomplish tasks. They go beyond simple chatbots by actively taking actions rather than just generating text responses.

An AI agent typically has: a language model brain (GPT-4, Claude, etc.) for reasoning and language understanding, a system prompt defining its personality, goals, and boundaries, access to tools (APIs, databases, web search) for taking actions, a knowledge base of domain-specific information, and memory for tracking context across interactions.

Key differences between chatbots and AI agents: chatbots respond to questions, while agents pursue goals. Chatbots generate text, while agents take actions. Chatbots are stateless, while agents maintain context and memory. Chatbots follow scripts, while agents adapt and reason.

Real-world AI agent examples include: customer support agents that diagnose and resolve issues, sales agents that qualify leads and book meetings, personal assistants that manage calendars and communications, research agents that gather and synthesize information, and voice agents that handle phone calls naturally.

Platforms like Chipp enable anyone to build and deploy AI agents without coding — configure the knowledge, connect the tools, and deploy across channels like web chat, WhatsApp, Slack, phone, and email.