Gavrilo Jejina

Content Writer @RZLT

Learn to Deploy Your Own Production-Ready AI Apps with Emergent

Jul 4, 2025

Learn How to Create, Customize, and Launch AI Applications Without Writing a Single Line of Code

Gavrilo Jejina

Content Writer @RZLT

Learn to Deploy Your Own Production-Ready AI Apps with Emergent

Jul 4, 2025

Learn How to Create, Customize, and Launch AI Applications Without Writing a Single Line of Code

Building AI applications, especially production-ready ones, often seems daunting, requiring extensive coding skills and complex deployment processes.

However, a new platform is changing this narrative. Emergent, by Emergent Labs, offers a revolutionary no-code solution for developing robust, production-ready AI applications. Backed by Y Combinator, Emergent empowers you to bring your AI ideas to life, from concept to deployment, with unprecedented ease. This guide explores how Emergent makes sophisticated AI development accessible to everyone, regardless of their coding background.

How Can I Build an AI App with Emergent?

The traditional path to building AI applications often involves creating a Minimum Viable Product (MVP) that then requires significant developer intervention for production deployment, due to concerns like malicious intent or security vulnerabilities. 

Emergent's core promise is to bypass this complexity entirely, enabling you to build full, production-ready applications from the outset.

Getting Started: Emergent is currently in beta, with access granted via invite codes. 

These codes are frequently dropped on their Discord server, making it easy to get started and join the growing community.

Intuitive Interface: The platform boasts a user-friendly interface, similar to many AI-based wrappers. You simply articulate what you want to build in natural language, and Emergent takes it from there.

What Are Emergent’s Capabilities?

Emergent provides a solid base for creating applications with its main features. The platform has its own models, E1 and E1.1 (which is in beta), for you to use. You can connect to GitHub repositories to use code or data that already exists. 

You can also get ideas for your application's look from images. Figma integration is not ready yet but is expected to make the user experience better. Emergent gives you full-stack templates for both frontend and backend work, and also basic Python templates. 

There is a community on Emergent's Discord that builds and shares many kinds of applications, from landing pages to special AI agents. This community is a good place to find ideas and help.

How to Build Your AI Application on Emergent

1. Defining Your Vision: Begin by prompting the agent with your desired outcome. For instance, you might instruct it to "create a model landing page for a marketing agency."

Configuring Your App: The platform intelligently guides you through the configuration process, prompting for essential details such as:

  • Content Sections: Define elements like "About Us," "Portfolio," and "Client Testimonials."

  • Functionality: Specify features like contact forms or dynamic content.

  • Site Preferences: Set design parameters (e.g., color schemes, bold creative approaches) and integration options (e.g., analytics, CRM).

3. Smart Agent Coordination: A standout feature of Emergent is its use of multiple specialized agents. For example, a content agent handles text, a research agent gathers information, and a backend agent manages server-side logic. These agents seamlessly coordinate to produce the optimal output, ensuring a cohesive and functional application.

Real-World Example - RZLT Landing Page

Josip's demonstration showcased Emergent's capabilities by building a landing page for RZLT. He defined content sections, a contact form, and design preferences (bold, creative, with blue and black accents), all without writing a single line of code. The platform even allowed for the inclusion of dummy data, which could be filled in later.

Emergent's flexibility extends far beyond simple landing pages. The platform can facilitate the creation of complex AI agents, such as the "Google Coach" example. This agent is designed to help users achieve specific goals (e.g., weight loss) by integrating with OpenAI APIs and leveraging custom knowledge bases, demonstrating the platform's potential for highly specialized and interactive AI solutions.

Pro Tips for a Seamless Launch

  • For better results, provide detailed and clear initial prompts so Emergent's agents can correctly understand and create your vision. This practice leads to more precise outcomes. 

  • The Emergent Discord is a useful place to find inspiration, shared templates, and solutions to problems from other users. 

  • Emergent can generate production-ready outputs, but repeated testing and adjusting of your application's responses and functions will improve its performance and user experience.

Getting Started Today

Whether you're building a simple landing page, a complex AI coaching system, or exploring Web3 integrations, Emergent provides the tools to create production-ready applications without traditional coding barriers.

Next Steps:

  1. Join the Emergent Discord to request beta access

  2. Watch Josip's detailed walkthrough for practical examples

  3. Start with a simple project to understand the platform's capabilities

  4. Engage with the community for support and inspiration

The no-code AI movement is here, and Emergent is leading the charge toward a future where anyone can build sophisticated, production-ready AI applications. The question isn't whether you can build your AI application idea, it's when you'll start.

Building AI applications, especially production-ready ones, often seems daunting, requiring extensive coding skills and complex deployment processes.

However, a new platform is changing this narrative. Emergent, by Emergent Labs, offers a revolutionary no-code solution for developing robust, production-ready AI applications. Backed by Y Combinator, Emergent empowers you to bring your AI ideas to life, from concept to deployment, with unprecedented ease. This guide explores how Emergent makes sophisticated AI development accessible to everyone, regardless of their coding background.

How Can I Build an AI App with Emergent?

The traditional path to building AI applications often involves creating a Minimum Viable Product (MVP) that then requires significant developer intervention for production deployment, due to concerns like malicious intent or security vulnerabilities. 

Emergent's core promise is to bypass this complexity entirely, enabling you to build full, production-ready applications from the outset.

Getting Started: Emergent is currently in beta, with access granted via invite codes. 

These codes are frequently dropped on their Discord server, making it easy to get started and join the growing community.

Intuitive Interface: The platform boasts a user-friendly interface, similar to many AI-based wrappers. You simply articulate what you want to build in natural language, and Emergent takes it from there.

What Are Emergent’s Capabilities?

Emergent provides a solid base for creating applications with its main features. The platform has its own models, E1 and E1.1 (which is in beta), for you to use. You can connect to GitHub repositories to use code or data that already exists. 

You can also get ideas for your application's look from images. Figma integration is not ready yet but is expected to make the user experience better. Emergent gives you full-stack templates for both frontend and backend work, and also basic Python templates. 

There is a community on Emergent's Discord that builds and shares many kinds of applications, from landing pages to special AI agents. This community is a good place to find ideas and help.

How to Build Your AI Application on Emergent

1. Defining Your Vision: Begin by prompting the agent with your desired outcome. For instance, you might instruct it to "create a model landing page for a marketing agency."

Configuring Your App: The platform intelligently guides you through the configuration process, prompting for essential details such as:

  • Content Sections: Define elements like "About Us," "Portfolio," and "Client Testimonials."

  • Functionality: Specify features like contact forms or dynamic content.

  • Site Preferences: Set design parameters (e.g., color schemes, bold creative approaches) and integration options (e.g., analytics, CRM).

3. Smart Agent Coordination: A standout feature of Emergent is its use of multiple specialized agents. For example, a content agent handles text, a research agent gathers information, and a backend agent manages server-side logic. These agents seamlessly coordinate to produce the optimal output, ensuring a cohesive and functional application.

Real-World Example - RZLT Landing Page

Josip's demonstration showcased Emergent's capabilities by building a landing page for RZLT. He defined content sections, a contact form, and design preferences (bold, creative, with blue and black accents), all without writing a single line of code. The platform even allowed for the inclusion of dummy data, which could be filled in later.

Emergent's flexibility extends far beyond simple landing pages. The platform can facilitate the creation of complex AI agents, such as the "Google Coach" example. This agent is designed to help users achieve specific goals (e.g., weight loss) by integrating with OpenAI APIs and leveraging custom knowledge bases, demonstrating the platform's potential for highly specialized and interactive AI solutions.

Pro Tips for a Seamless Launch

  • For better results, provide detailed and clear initial prompts so Emergent's agents can correctly understand and create your vision. This practice leads to more precise outcomes. 

  • The Emergent Discord is a useful place to find inspiration, shared templates, and solutions to problems from other users. 

  • Emergent can generate production-ready outputs, but repeated testing and adjusting of your application's responses and functions will improve its performance and user experience.

Getting Started Today

Whether you're building a simple landing page, a complex AI coaching system, or exploring Web3 integrations, Emergent provides the tools to create production-ready applications without traditional coding barriers.

Next Steps:

  1. Join the Emergent Discord to request beta access

  2. Watch Josip's detailed walkthrough for practical examples

  3. Start with a simple project to understand the platform's capabilities

  4. Engage with the community for support and inspiration

The no-code AI movement is here, and Emergent is leading the charge toward a future where anyone can build sophisticated, production-ready AI applications. The question isn't whether you can build your AI application idea, it's when you'll start.

Let’s rewrite the playbook.

Contact us

Let’s rewrite the playbook.

Contact us

Let’s rewrite the playbook.

Contact us