A Lovable-style AI builder is a platform where users describe what they want to build in a prompt, and multiple AI agents work together to generate and refine the solution. Each agent focuses on a different role, such as planning, structuring, or improving the output, and their responses combine to produce a clearer and more useful result.
This project focuses on the core workflow of AI-assisted product building: project workspaces, prompt-driven generation, agent collaboration, output viewing, and iterative improvements. It helps students understand how modern AI tools structure prompts, manage generated files, and support continuous refinement.