From Agent to Endpoint: Deploying Ivy as a Reliable Service-as-Software

The conversation around AI is buzzing with the potential of autonomous agents. We imagine intelligent systems that can reason, plan, and execute complex tasks on our behalf. But as we move from exciting demos to real-world applications, a critical question emerges: How do you operationalize an AI agent? How do you make it reliable, scalable, and a trusted part of your production infrastructure?

The challenge is that "agents" can feel unpredictable. Integrating them into existing business processes can be complex and brittle. At .do, we believe the solution is a paradigm shift: thinking of your agent not just as a free-roaming entity, but as a stable, deployable API endpoint. Meet Ivy, your autonomous digital worker, delivered as a reliable Service-as-Software.

The Rise of the Digital Worker

Before diving into the technology, let's clarify what Ivy is. Ivy is not another chatbot waiting for a prompt. A chatbot is reactive. Ivy is proactive.

Ivy is an autonomous digital worker—a dedicated digital teammate you can configure, deploy, and assign to specific business functions. It's designed to execute complex, long-running agentic workflows in the background, handling tasks like:

• Complex Data Processing: Sifting through raw data, enriching it via multiple APIs, and structuring it for reports.
• Customer Onboarding: Automating the entire welcome sequence for new users, from validation to personalized content creation.
• Lead Qualification: Analyzing new leads against an Ideal Customer Profile (ICP) and routing them to the correct sales team.
• Support Ticket Triage: Reading incoming support requests, categorizing them, and assigning them to the right specialist.

Instead of building fragile, one-off automation scripts, you can deploy Ivy as a persistent, intelligent worker dedicated to the job.

Agentic Workflows as Code

The power of Ivy lies in its simplicity and developer-first approach. You don't need a complex orchestration engine or a visual drag-and-drop builder. You manage Ivy through a simple SDK, defining its role and assigning tasks programmatically.

Here’s how you would deploy a digital teammate to handle new user onboarding:

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 down what's happening here:

1. Create an Instance: You instantiate Ivy with a unique ID and a persona. The persona (Onboarding Specialist) primes the agent, focusing its capabilities and reasoning on a specific business function.
2. Assign the Task: You use .assign() to give the agent a high-level goal. This isn't just one API call; it's an entire business process.
3. Provide Instructions: The instructions array defines the agentic workflow. Ivy understands how to chain these steps together, integrate with the necessary tools (clearbit.do, content.do, courier.do), and handle any intermittent steps or errors.
4. Receive a Job ID: The call returns a job.id. This is the crucial step that transforms the "agent" into a reliable service. You now have a handle to a process running on managed infrastructure, which you can monitor and manage just like any other asynchronous task in your system.

The Shift to Service-as-Software

The concept of a "job ID" is the bridge from a clever agent to a production-grade service endpoint. When you assign a task to Ivy, you aren't just sending a command into the void and hoping for the best. You are interacting with a robust endpoint.

This is what we mean by Service-as-Software.

The .do platform abstracts away all the underlying complexity:

• Infrastructure: You don't worry about servers, containers, or scaling. .do handles it all.
• State Management: Ivy maintains state throughout long-running tasks that could take minutes, hours, or even days.
• Tool Integration: Ivy seamlessly connects to other APIs and services to get the job done.
• Reliability: If a downstream API fails, Ivy can retry. If a step takes longer than expected, the process continues. The platform ensures your workflow is resilient.

You, the developer, get the benefit of an advanced autonomous agent through the predictable and stable interface of an API. This model makes AI automation less of a science experiment and more of a core engineering discipline.

Ready to Deploy Your First Digital Teammate?

The era of AI automation is here, but its success hinges on reliability and integration. By reframing the autonomous agent as a deployable digital worker—a true Service-as-Software—Ivy provides the scalability and trustworthiness that businesses need.

Stop building brittle automation and start deploying intelligent, autonomous teammates.

Learn more and get started at ivy.do.

Frequently Asked Questions (FAQ)

What is ivy.do?
Ivy is an autonomous digital worker on the .do platform. You can configure and deploy Ivy to perform specific business functions and complex workflows, delivered as a reliable software service.

What kinds of tasks can Ivy perform?
Ivy excels at a wide range of tasks, including data processing, lead qualification, customer onboarding, report generation, and support ticket triage. It can integrate with other APIs and services to execute multi-step workflows.

How do I deploy and manage an Ivy agent?
You deploy and manage Ivy through the .do platform's API and SDK. Simply define its role and objectives, grant access to the necessary tools, and assign tasks programmatically. .do handles all the underlying infrastructure.

Is Ivy just another chatbot?
No. While a chatbot reacts to user input in a conversation, Ivy is an autonomous agent that proactively executes complex, long-running business processes in the background. Ivy is a worker, not just a conversationalist.