💻 Coding & Development
Web Design
Example outputs
Here is what ChatGPT, Claude, and Gemini typically return for this prompt:
For your course showcase page, I recommend a card-based layout with filtering capabilities by category, duration, and skill level. Each course card should feature a compelling hero image, instructor photo with credentials, a concise 2-3 sentence description, key learning outcomes in bullet points, and a prominent 'Enroll Now' CTA button. Consider implementing a sticky sidebar for featured courses and testimonials. The information architecture should prioritize visual hierarchy with clear headings, ample white space, and a color-coded system to distinguish course difficulty levels.
I'd suggest structuring this as a grid layout with search and filter functionality, though the specifics depend on your course volume and target audience. Each course card could display instructor credentials, learning outcomes, and time commitment—but be mindful that too much information might overwhelm users. For accessibility, ensure all CTAs have sufficient color contrast and keyboard navigation works seamlessly. One consideration: you mentioned 'white page' which might be a typo for 'landing page'—could you clarify the page's primary purpose?
A responsive grid layout would work best, similar to platforms like Coursera or Udemy. Implement faceted filtering (by topic, level, duration), autocomplete search, and lazy loading for performance. Each course card should include: instructor headshot with brief bio link, 3-4 bullet learning objectives, rating/review count, course duration, and a contrasting CTA button. Follow WCAG 2.1 AA standards for accessibility. Consider Next.js or Nuxt for SSR to improve SEO and initial load times, with a design system like Material UI or Tailwind for consistency.
How to use this prompt
Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.
Which AI model works best
Claude Opus 4 and Sonnet 4.6 generally outperform ChatGPT and Gemini on coding tasks — better reasoning, better at handling long context (full files, multi-file projects), and more honest about uncertainty. ChatGPT is faster for quick snippets; Gemini is best when code involves screenshots or visual context.
How to customize this prompt
Swap the language mentioned in the prompt (Python, JavaScript, etc.) for whichever stack you're on. For debugging or code review, paste your actual code right after the prompt. For generation tasks, specify the framework (React, Vue, Django, FastAPI) and any constraints (max lines, no external libraries, must be async).
Common use cases
- Writing production code with strict style requirements
- Reviewing pull requests and catching bugs before merge
- Converting between languages (Python → TypeScript, for example)
- Generating unit tests for existing functions
- Explaining unfamiliar codebases to new team members
Variations
Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).