6. Practical AI Use Cases for Web Developers

Now that we've covered the basics, let's explore how you can actually use AI in your web development projects. AI isn't just for large tech companies; it's an accessible tool that can enhance user experience and automate complex tasks.

1. Intelligent Chatbots & Customer Support

Instead of simple, rule-based chatbots, you can use an LLM (like one accessed via Gemini or Ollama) to power a support bot. This bot can understand natural language, access a knowledge base (like your product documentation), and provide helpful, context-aware answers to user questions 24/7.

2. Automated Content Generation

Need to generate product descriptions for an e-commerce site? Or perhaps create blog post summaries? You can build a feature that takes a few keywords or a product title and uses an AI model to generate well-written, unique content, saving hours of manual work.

3. Semantic Search

Traditional keyword search is limited. If a user searches for "blue running shoes," they won't find a product titled "navy sneakers." With AI-powered semantic search, the model understands the *intent* behind the query. It knows "navy" is a shade of "blue" and "sneakers" are "shoes," providing much more relevant search results.

4. Code Generation and Debugging

AI can be a powerful assistant in your development workflow. You can build tools into your own applications (or use existing ones) that help users write code, translate it between languages, or even analyze a block of code and suggest fixes for bugs. This is done by providing the AI with a prompt that includes the user's code and the specific problem they're facing.