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Hey I am on Medial • 4m
10 Pro Techniques of prompt engineering for Lovable 1. Structured Prompts: Break your prompt into clear sections: Context, Task, Guidelines, and Constraints. Label each section explicitly for clarity. 2. Specificity and Detail: Clearly describe your app's purpose, target audience, and key features. Specify the tech stack, UI style, and essential elements. 3. Solid Knowledge Base: Before prompting, create a project Knowledge Base with requirements, user flows, tech stack, and design guidelines. Reference this in your prompt. 4. Positive, Action-Oriented Instructions: Focus on what you want the AI to do, not what to avoid. Use action verbs and highlight key requirements (e.g., "Design a responsive homepage showcasing our best-selling dog toys"). 5. Iterative Refinement: If the output isn't ideal, clarify or expand your instructions in follow-up prompts. Ask the AI to explain its reasoning or suggest prompt improvements (meta-prompting). 6. Context is King: Always provide sufficient context. The more information you give Lovable, the better it can understand your needs. 7. use Examples: If possible, provide examples of what you want the AI to produce. This helps guide its output and improves accuracy. 8. Experiment with Different Prompt Styles: Try different phrasing and approaches to see what works best for your specific needs and Lovable's capabilities. 9. Use Chat Mode for Brainstorming: Chat Mode is perfect for brainstorming and outlining features. Default Mode is better for direct code or UI generation. 10. Learn from Your Mistakes: Analyze your past prompts. What worked well? What could be improved? Continuous learning is key to mastering prompt engineering.
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