What is AI Agent ?
An AI agent is an autonomous software system that uses a language model to reason about a goal, decide which tools to use, and execute multi-step tasks — operating on behalf of a user without requiring step-by-step instructions.
A chatbot answers questions. An AI agent takes action. The difference is autonomy. A chatbot is reactive — it responds to whatever you type. An agent is goal-directed — you tell it what you want accomplished, and it decides for itself what steps to take, which tools to call, and when the task is complete.
Under the hood, agents combine a language model (for reasoning) with a set of tools (for action). The tools might be API calls, database queries, web searches, or other software. The model plans a sequence, calls the tools, reads the results, decides what to do next, and continues until the goal is met. This is the loop that makes agents useful: plan → act → observe → repeat.
Good agents have memory (so they don't repeat themselves), guardrails (so they don't take destructive actions), and verification (so they catch their own mistakes). They're especially valuable for multi-step tasks that span many apps — exactly the kind of work that's tedious for humans and brittle for traditional automation.
How Definable uses AI Agent
Definable Workflow is an AI agent system at its core. You describe a multi-step goal in plain language; Workflow plans the steps, calls the right tools across 1000+ apps, reasons between steps, and self-heals when anything breaks. The Definable Assistant also supports tool use — it can browse the web, query knowledge bases, and take actions across your connected apps inside a conversation.
Frequently asked questions
What's the difference between an AI agent and a chatbot?
A chatbot responds to prompts. An AI agent takes autonomous action toward a goal — planning, calling tools, observing results, and iterating. Agents do things; chatbots answer things.
Are AI agents safe?
Properly designed agents have explicit tool permissions, approval gates for destructive actions, audit logs, and verification of every step. Bad agents are dangerous; good ones are bounded.
Do I need to code to use an AI agent?
Increasingly, no. Modern agent platforms accept plain-language descriptions of goals and assemble the agent for you.
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