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AI Agents and Assistants for Business

AI agents are autonomous programs that monitor data, make decisions, and take actions on your behalf without human intervention at each step. Unlike chatbots that respond to user messages, agents work independently in the background, running on schedules or responding to system events. They handle tasks like monitoring websites, processing incoming data, qualifying leads, managing schedules, moderating content, and analyzing logs, all using AI reasoning to make decisions that previously required a human.

What AI Agents Can Do for Your Business

AI agents handle the tasks that are too complex for simple automation rules but too repetitive or time-consuming for a person to do continuously. The key difference from traditional automation is intelligence: agents use AI models to understand context, evaluate situations, and make judgment calls.

A simple automation sends an email when a form is submitted. An AI agent reads the form submission, understands what the person is asking, classifies their request, determines the urgency, routes it to the right team member, and drafts a personalized response, all before anyone on your team sees it. See What Can AI Agents Do for Your Business.

How Agents Work on the Platform

AI agents on this platform are built using two tools: chain commands (visual workflow builder) and custom apps (AI-written server-side code). Both support scheduled execution, webhook triggers, database access, API calls, and AI reasoning steps.

A typical agent follows a loop: collect data, analyze it with AI, decide what to do, take action, and repeat. The AI model (GPT, Claude, or others) provides the reasoning layer, while the platform provides the execution infrastructure: databases, email, SMS, API calls, and scheduling. See How AI Agents Make Decisions and Take Actions.

You control the agent's capabilities through guardrails: what databases it can access, what APIs it can call, what messages it can send, and what decisions require human approval. Start with read-only agents and expand permissions as you verify reliability. See How to Set Guardrails on AI Agent Actions.

Agents vs Chatbots vs Workflows

Chatbots are reactive: they wait for a user to send a message, then respond. They live inside conversations. Workflows are rule-based: they follow a fixed sequence of steps with conditional branching. Agents are proactive and intelligent: they run autonomously, use AI to make decisions, and can handle situations that rules-based workflows cannot anticipate.

In practice, these three tools work together. A chatbot captures a lead, a workflow routes it, and an agent monitors the lead pipeline and alerts you when a high-value lead has not been contacted within 5 minutes. See AI Agents vs Chatbots: When to Use Each and AI Agents vs Zapier Automations.

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