A step-by-step guide to building an AI agent in 2026
This Reddit post says an AI agent is software that can understand goals, make decisions, connect to tools, and complete tasks with limited human help. It gives examples such as customer support agents, sales assistants, research agents, coding assistants, and personal productivity assistants. It says the first step is to define the agent’s purpose, users, expected results, and success measures.
Key points
- The post says AI agents can answer questions, do research, analyze data, generate content, manage workflows, and take actions through APIs.
- It describes AI agents as different from traditional chatbots because they can reason, remember, and use tools.
- The first step is to choose a clear goal for the agent.
- The post recommends defining who will use the agent and what outcome it should produce.
- Examples include customer support agents, sales assistants, research agents, coding assistants, and productivity assistants.
Quick term guide
- AI agent
- An AI program that can inspect information and suggest what to do next.
- assistants
- AI helpers that respond to questions or support simple tasks.
- model calls
- Requests sent to an AI model to get an answer or action.
- model call
- One request sent to an AI model to get an answer.
- AI agents
- AI agents are AI tools that can carry out steps toward a goal, not just answer once.
- workflows
- The specific order of steps taken to finish a piece of work.
- workflow
- A repeatable set of steps for getting a task done.
- chatbots
- Programs that answer people through a chat-style conversation.