Workshop vs Lovable

Build AI apps with both. Workshop adds data connectors, local models, and full-stack ownership.

Import your Lovable project
I started on Lovable but hit a wall the moment I needed a real database. Workshop let me keep my frontend and add Postgres, API routes, and dashboards without starting over.
Ian Sanchez

Workshop and Lovable both build websites and AI apps. Workshop goes further with native database connectors, multi-LLM support (Claude, GPT, Gemini), local development with local models, serverless backend compute, and production-grade dashboards and internal tools — making it a full-stack platform rather than a front-end generator.

At a Glance

Choose Workshop if you want:

  • Beautiful marketing sites and serious data apps in one system
  • Built-in AI with OpenAI, Anthropic, and Gemini support
  • Import existing Lovable projects and keep building
  • Local development with local models
  • Connectors for databases, SaaS tools, and analytics stacks
  • Serverless backend + compute included
  • Production dashboards and internal tools

Choose Lovable if you want:

  • A fast way to generate a simple website
  • A lightweight AI app prototype
  • A browser-first builder experience

Feature Comparison

WorkshopLovable
Primary FocusWebsites, AI apps, dashboards, internal toolsWebsites & lightweight AI apps
AI App SupportBuilt-in AI (OpenAI, Anthropic, Gemini)OpenAI-based
Hosting ModelIntegrated serverless backend + external exportHosted web apps
Local DevelopmentWorkshop Desktop + local modelsBrowser-only
Data ConnectivityDatabases + SaaS connectorsMinimal
Backend IncludedYes (FastAPI-style runtime)Limited

Where Workshop and Lovable Differ

Deployment & Ownership

Workshop: Deploys to an integrated serverless runtime with backend support. Projects can sync to GitHub, run locally via Workshop Desktop, and be hosted flexibly.

Lovable: Primarily browser-based deployments designed for simplicity and speed.

Built-In AI Capabilities

Workshop: AI is built into the platform. Apps can use models from OpenAI, Anthropic, or Gemini without wiring your own infrastructure. Local models can run on Desktop.

Lovable: Primarily supports OpenAI integrations for AI-powered features.

Working With Real Data

Workshop: Designed for real databases, analytics pipelines, and business data. Connect to data warehouses, SaaS tools, and APIs to build trusted dashboards and internal tools.

Lovable: Optimized more for content-driven and prompt-driven apps than structured data workflows.

Ideal Team Profile

Workshop: Startups, operators, analytics engineers, founders building real products or internal systems.

Lovable: Creators and solo builders launching websites or simple AI tools.

Best for Different Use Cases

Building a Website

Workshop: Ideal if your site may evolve into a product, AI app, or data-driven experience. Import Lovable projects and continue building.

Lovable: Great for quickly generating a clean marketing site.

Building an AI App

Workshop: Use built-in AI across multiple providers. Add connectors, authentication, billing, and backend logic.

Lovable: Good for prompt-driven AI apps with simpler integrations.

Building a Dashboard

Workshop: Connect real data sources and deploy production-ready dashboards.

Lovable: Not designed primarily for BI or analytics workflows.

Building an Internal Tool

Workshop: Authentication, connectors, compute, backend, and deployment included.

Lovable: Limited support for operational internal tooling.

Why Teams Choose Workshop Long-Term

  • Run locally with Workshop Desktop
  • Use local models for privacy and control
  • Import and extend Lovable projects
  • Deploy apps with integrated backend compute
  • Connect to real business data
  • Build beyond marketing pages

Workshop grows with you — from landing page to full data platform.

Frequently Asked Questions

Ready to bring your Lovable project to Workshop?

Follow our step-by-step guide to import your project and start building with full-stack capabilities.

Follow the import guide
or start a new project

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