Lovable + Ertas
Use Lovable to rapidly build full-stack AI applications that connect to Ertas-trained models for domain-specific intelligence in production apps.
Overview
Lovable is an AI-powered application builder that generates full-stack web applications from natural language descriptions. Users describe the application they want — a dashboard, a chat interface, a data processing tool — and Lovable generates the complete codebase including frontend components, backend API routes, database schemas, and authentication flows. The generated code is production-quality React and TypeScript, deployed to a live URL where users can interact with it immediately and iterate by describing changes in plain English.
What makes Lovable relevant for AI application development is its ability to generate the full application layer around an AI model. Building a chatbot, document analysis tool, or data extraction interface requires significant frontend and backend engineering that is often boilerplate. Lovable handles this boilerplate automatically, letting teams focus on what differentiates their application: the fine-tuned model that powers the intelligence. By combining Lovable's rapid application generation with Ertas's model fine-tuning, teams can go from raw training data to a deployed, user-facing AI application in hours rather than weeks.
How Ertas Integrates
The integration between Ertas and Lovable is straightforward: you fine-tune your model in Ertas Studio, deploy it to an API endpoint, and then describe your application to Lovable with instructions to connect to your model's API. Lovable generates the complete application — including the API integration code, streaming response handling, conversation state management, and a polished UI — configured to use your Ertas model as the backend. The generated code uses standard OpenAI SDK patterns, so the integration is clean and maintainable.
This workflow is transformative for non-technical founders, agencies, and business teams. A legal tech startup can fine-tune a contract analysis model in Ertas Studio, then describe a document upload and analysis interface to Lovable, and have a working product prototype deployed in an afternoon. The prototype includes real AI intelligence — not mock data — because it connects to the actual fine-tuned model. When it is time to scale, the generated code can be exported to a standard development environment for further customization. The Ertas-Lovable combination removes both the ML engineering barrier (Ertas handles training) and the software engineering barrier (Lovable handles the application), letting domain experts bring AI products to life with their expertise alone.
Getting Started
- 1
Fine-tune your model in Ertas Studio
Train a domain-specific model on your data. Deploy it to Ertas Cloud or any publicly accessible inference endpoint with an OpenAI-compatible API.
- 2
Describe your application to Lovable
Open Lovable and describe the application you want in natural language. Include details about the UI, functionality, and that it should connect to your AI model API.
- 3
Configure API credentials
Add your Ertas Cloud endpoint URL and API key to the Lovable project's environment variables. The generated code will reference these securely.
- 4
Iterate on the application
Test the deployed application and describe changes to Lovable in plain English. Refine the UI, add features, or adjust the model integration as needed.
- 5
Export and customize
When the application is ready for production, export the generated codebase for further customization or continue iterating directly in Lovable.
# Example Lovable prompt for building an AI app with Ertas
"Build a contract analysis tool with these features:
- A document upload area that accepts PDF files
- Extract key terms, obligations, and dates from contracts
- Display results in a structured table with categories
- Include a chat interface for follow-up questions about the document
- Connect to my AI model API at the endpoint in ERTAS_API_URL env var
- Use the OpenAI SDK with model name 'ertas-legal-7b'
- Add a clean, professional UI with a sidebar for document history"
# Lovable generates the complete application:
# - React frontend with file upload and chat components
# - Backend API routes for document processing
# - OpenAI SDK integration pointing to your Ertas model
# - Deployed to a live URL in under 2 minutesBenefits
- Generate full-stack AI applications from natural language descriptions
- Production-quality React and TypeScript code that is maintainable and exportable
- Go from training data to deployed application in hours instead of weeks
- No software engineering expertise required for application development
- Live deployment with shareable URL for immediate user testing
- Iterate on the application by describing changes in plain English
Related Resources
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Inference
Fine-Tune AI Models Without Writing Code
Getting Started with Ertas: Fine-Tune and Deploy Custom AI Models
Self-Hosted AI for Indie Apps: Replace GPT-4 with Your Own Model
How to Fine-Tune an LLM: The Complete 2026 Guide
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Early bird pricing starts at $14.50/mo — locked in for life. Plans for builders and agencies.