When I was applying for a job earlier this year, part of the challenge was to design a one-page website from scratch. Instead of relying on conventional builders like Wix, it was required to use Lovable. A relatively new AI-powered platform that turns natural language prompts into functional websites (Lovable, 2025). The platform allows users to describe their ideas in plain English, and the system automatically generates a complete layout, style, and structure based on that input (Codecademy, 2025). I had never used an AI website generator before, so I was curious to see whether I could turn a simple concept into a clean, professional-looking site.
Lovable’s free version includes five credits, and every prompt consumes one credit, on average. However, the credit usage depends on how complex the instruction is – some prompts that require more extensive coding or design logic can use multiple credits at once (Lovable, 2025). This constraint made me think carefully about prompt precision, since a vague or overly broad description could quickly exhaust all available credits. I learned that being structured, deliberate, and specific was crucial not only for saving credits but also for producing higher-quality results.
Despite the limitations, I found the creative process surprisingly engaging. It felt like sculpting a digital product step by step – starting with a rough structure and refining it into a polished interface. If I were to do it again, I would approach it with a clearer workflow: first define the basic functionalities of the intended website, then decide on content placement, design and layout, and finally run a short polishing prompt at the end. This method reflects what prompt-engineering research consistently shows: structured, contextual instructions lead to more precise and coherent outputs (Blijleven, 2025; Fagadau et al., 2024).
Another key takeaway was how important human intentionality remains. Before generating anything in Lovable, I used AI chatbots (such as ChatGPT and Claude) to brainstorm the intended website’s purpose, information, and tone (ANTHROPIC PBC, 2025; OpenAI, 2025). This preparation showed me that while AI can accelerate execution, the overall coherence and value still depend on human judgment. I needed to decide on what to include, what to simplify, and how to communicate effectively with the target audience of the intended website.
For our Generative AI assignment for IS, I used Lovable again to prototype our idea. The experience convinced me that tools like Lovable could change web design by lowering technical barriers and increasing creativity. Yet it also raises a broader question: as AI builders continue to improve, will the essence of creativity shift away from coding skills toward prompt design, conceptual thinking, and critical decision-making?
References:
ANTHROPIC PBC. (2025). Overview | Claude. https://claude.com/product/overview
Blijleven, T. (2025, March 6). The importance of a good AI prompt | Spotler. Data Driven Marketing Software | Spotler. https://spotler.com/blog/the-importance-of-a-good-ai-prompt
Codeacademy. (2025). How to create a portfolio website using Lovable AI. Codecademy. https://www.codecademy.com/article/lovable-ai-website-builder
Fagadau, I. D., Mariani, L., Micucci, D., & Riganelli, O. (2024). Analyzing Prompt Influence on Automated Method Generation: An Empirical Study with Copilot. Association for Computing Machinery, 24–34. https://doi.org/10.1145/3643916.3644409
Lovable. (2025). Welcome – lovable documentation. https://docs.lovable.dev/introduction/welcome
OpenAI. (2025). ChatGPT. https://chatgpt.com
