Pushing Boundaries: Exciting Experiments Built on .do

Complex business processes can feel like tangled yarn, difficult to manage, scale, and integrate. What if you could untangle that yarn and transform it into clear, executable code – letting you automate, scale, and expose your business logic as robust software services? That's exactly what the .do platform enables.

Automate Your Business 邏輯 (Logic) and Build Services-as-Software

At its core, .do is an AI-powered Agentic Workflow Platform designed for Business-as-Code. This means you can define your business rules, processes, and decisions directly in code, bringing clarity, version control, and testability to your operations. These coded business logic units, called 'Agents', can then be easily packaged and exposed as Services-as-Software via simple APIs and SDKs.

Imagine taking a convoluted sequence of steps for onboarding a new customer, processing an order, or managing inventory. With .do, you can break these down into discrete, manageable Agents. Each Agent handles a specific task, and you can orchestrate them to create powerful, automated workflows.

Why Business-as-Code with .do?

Moving to a Business-as-Code paradigm with .do offers significant advantages:

• Clarity and reduces technical debt: Business logic is no longer hidden in disparate systems, spreadsheets, or even people's heads. It's codified, making it transparent and maintainable.
• Scalability: Code scales much more effectively than manual processes. As your business grows, your automated workflows on .do can handle the increased load.
• Consistency: Automated processes ensure every execution follows the defined logic precisely, reducing errors and inconsistencies.
• Faster Development: .do provides a structured way to build and deploy business logic, accelerating the delivery of new features and services.
• Testability: Because your business logic is code, you can easily write automated tests to ensure its accuracy and reliability.
• Expose Functionality Easily: Transform internal processes into consumable APIs and SDKs, opening up new opportunities for integration and partnerships.

Building with .do: A Simple Example

Let's look at a basic example of how you define an Agent in .do:

// Define inputs for the Agent

interface CreateUserProfileInput {
  username: string;
  email: string;
}

// Define outputs from the Agent

interface CreateUserProfileOutput {
  userId: string;
  createdAt: string;
}

// Describe the Agent

const createUserProfileAgent = new Agent<
  CreateUserProfileInput,
  CreateUserProfileOutput
>('createUserProfile');

// Implement the Agent's logic asynchronously

createUserProfileAgent.do(
  async (input: CreateUserProfileInput): Promise<CreateUserProfileOutput> => {
    // Your business logic to create the user profile here
    // This could involve database calls, external API integrations, etc.
    console.log(`Creating profile for ${input.username} with email ${input.email}`);
    // Simulate generating a user ID and creation timestamp
    const userId = `user_${Math.random().toString(36).substring(2, 15)}`;
    const createdAt = new Date().toISOString();
    return { userId, createdAt };
  }
);

// Now you can expose this Agent functionality via APIs and SDKs

// For example:

// constUserProfileAPI = createUserProfileAgent.asAPI();

// constUserProfileSDK = createUserProfileAgent.asSDK();

In this example, we define an Agent called createUserProfile. We specify its inputs (username, email) and outputs (userId, createdAt). The core business logic for creating the user profile resides within the createUserProfileAgent.do() function. This function can contain any code necessary to perform the task, including interacting with databases, calling external services, or performing complex calculations.

Once defined, .do makes it effortless to expose this createUserProfile Agent as an API endpoint or an SDK, allowing other applications or services to easily consume this functionality.

AI: An Intelligent Partner in Your Workflows

.do leverages AI to make your automation journey even smoother. While the core business logic is explicitly coded, AI can assist in various ways:

• Agent Suggestion: AI can potentially analyze existing processes or descriptions to suggest the structure of new Agents.
• Optimization: AI can help identify bottlenecks or inefficiencies in your workflow compositions and suggest improvements.
• Dynamic Adjustments: In the future, AI could enable workflows to adapt dynamically based on real-time data and external factors.

Frequently Asked Questions about .do

Here are answers to कुछ सामान्य प्रश्न (some common questions) about .do:

What is .do? .do is an AI-powered Agentic Workflow Platform designed to help businesses define, automate, and scale their business logic as code (Business-as-Code). This allows you to deliver complex processes as simple, consumable Services-as-Software via APIs and SDKs.

How does .do automate business logic? .do allows you to encapsulate discrete pieces of business logic within 'Agents'. These Agents can be composed and orchestrated to create sophisticated workflows. By writing these Agents in code, you gain version control, testability, and scalability.

What are Services-as-Software? Services-as-Software refers to packaging your internal business processes or functionalities into self-contained, accessible services that can be consumed through standard interfaces like APIs and SDKs. .do simplifies this by turning your Business-as-Code Agents directly into these services.

How does .do help with Business-as-Code? .do bridges the gap between business requirements and technical implementation by providing a structured way to encode business rules and workflows directly into maintainable code. This reduces misinterpretations and accelerates development cycles.

How does AI power the .do platform? .do leverages AI to assist in agent creation, optimization, and potentially dynamic workflow adjustments. AI can help suggest code structures, identify inefficiencies, and provide insights into process performance.

Conclusion

.do provides a powerful new way for businesses to approach automation and service delivery. By embracing Business-as-Code and leveraging agentic workflows, you can transform complex logic into scalable, maintainable, and accessible Services-as-Software. Whether you're looking to streamline internal operations or expose valuable functionality to external partners, .do offers the tools to push your automation boundaries.

Ready to start automating your business logic? Explore how .do can help you build robust and scalable services.