The world of AI automation is evolving at a breakneck pace. For years, the conversation has been dominated by chatbots and simple, trigger-based task runners. While useful, these tools are fundamentally reactive. They wait for a command or a specific event to do their job. But what if you could deploy an AI that works proactively, just like a member of your team?
Enter the next step in business process automation: the autonomous digital worker. This isn't just about conversation; it's about execution. It's about having a reliable, tireless digital teammate that can manage complex, multi-step workflows without constant supervision.
Meet Ivy—your first autonomous digital worker from ivy.do.
Think of the difference between a chatbot and a human project manager. A chatbot is like a receptionist: it can answer questions and route inquiries when prompted. It’s incredibly helpful for immediate, short-lived interactions.
An autonomous digital worker like Ivy, however, is like an operations specialist. You can assign it a high-level objective—like "onboard all new customers from this week"—and it will develop a plan, use its available tools, and work diligently in the background until the job is done. It's proactive, persistent, and task-oriented. This is the core of an agentic workflow: defining the goal and letting the agent handle the "how."
Ivy is an autonomous AI agent that executes complex business workflows as code. Instead of navigating a complex UI, you can integrate your first digital teammate directly into your existing systems with a simple and intuitive API.
Getting started is surprisingly straightforward. Using the .do SDK, you can create, configure, and assign tasks to your digital worker in just a few lines of code.
Here’s how you could hire Ivy as an "Onboarding Specialist" and assign it a task:
import { ivy } from '@do/sdk';
// Create a new instance of your digital worker
const myAgent = ivy.create('ivy-01', {
persona: 'Onboarding Specialist'
});
// Assign a complex, long-running task
const job = await myAgent.assign({
task: 'Process all new user signups from the past 24 hours.',
instructions: [
'Validate email addresses using clearbit.do',
'Create a personalized welcome document using content.do',
'Send a welcome email via courier.do'
]
});
console.log(`Job ${job.id} started. Ivy is on it.`);
Let's break this down:
Once assigned, Ivy gets to work. The .do platform handles all the underlying infrastructure, ensuring your digital worker is a reliable Service-as-Software that executes its tasks autonomously.
Because Ivy is designed to be a versatile digital worker, its applications span across various business functions. It excels at any process that is rule-based, repetitive, and involves multiple systems.
Think of hiring Ivy to be your:
It's crucial to understand that Ivy is not just another chatbot.
Feature | Traditional Chatbot | Ivy (Autonomous Digital Worker) |
---|---|---|
Initiative | Reactive: Responds to user input. | Proactive: Executes assigned tasks in the background. |
Task Complexity | Simple: Handles short, conversational queries. | Complex: Manages multi-step, long-running workflows. |
Duration | Short-lived: Interactions last for minutes. | Persistent: Can work on a job for hours or days. |
Core Purpose | Conversation & Information Retrieval | Business Process Automation & Task Execution |
While a chatbot waits for you to talk to it, Ivy is a member of your team that you assign work to. It's a fundamental shift from conversational AI to AI automation.
The future of work involves humans and AI collaborating, each focusing on what they do best. By delegating complex, repetitive processes to an autonomous agent like Ivy, you free up your human team to focus on strategy, creativity, and high-value customer interactions.
Ready to deploy your first digital teammate? Visit ivy.do to explore the documentation and learn how you can integrate a powerful autonomous agent into your workflows with just a few lines of code. Welcome to the new era of work.