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AI UI Screenshot Generator for Portfolios

Generate realistic UI mockups and app screenshots for portfolio case studies using AI image tools when real screenshots aren't available.

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Jouw Prompt
prompt.txt

                                

What this prompt does

This prompt generates AI image prompts for realistic UI mockups and app screenshots, aimed at portfolio case studies when the real product isn't ready to show. You describe the [project_type], [industry], [device_type], [design_style], and [screens_needed], and it writes prompts for each key screen plus device-framing options, presentation layouts, consistency rules, and a post-processing guide.

The structure is built for believable, cohesive mockups. It generates prompts for a hero/dashboard screen, a detail screen, a mobile responsive view, a dark-mode variant, and an onboarding/empty state — all sharing the same [color_palette] and [design_style] so the set reads as one product. Because you set [device_type], the prompts request the right frame (a MacBook Pro, a phone) and offer clean-screenshot, device-mockup, and lifestyle-context variants. The consistency rules insist on realistic data instead of obvious lorem ipsum, and [consistency_note] lets you lock details like a shared chart-library look.

When to use it

  • When you need portfolio mockups for a project whose real product isn't shippable yet.
  • To produce a cohesive set of screens (dashboard, detail, mobile, dark mode) for a case study.
  • When you want device-framed and lifestyle-context versions of the same UI.
  • To build a flow-sequence layout showing a user journey across several screens.
  • When you need the mockups to look like a real product, not a generic template.

Example output

You get AI prompts for each screen — hero/dashboard, detail/content, mobile responsive, dark-mode variant, and onboarding/empty state — each using your [color_palette] and [design_style]. Then device-framing options (clean screenshot, device mockup, lifestyle context, multi-device), portfolio presentation layouts (hero shot, feature grid, flow sequence), consistency rules for typography, navigation, and realistic data, and a post-processing guide for refining in Figma, applying device frames, and exporting at 2x for retina.

Pro tips

  • Use a single named [color_palette] with hex codes across every screen prompt — consistency is what makes the set look like one product rather than five.
  • Keep the data realistic: the consistency rules warn against round numbers and lorem ipsum, so describe believable content in [screens_needed].
  • Match [device_type] to your target frame (MacBook Pro, specific phone) so the mockups sit in the right device context.
  • Treat AI output as a base, then refine in Figma — fix alignment, add real text, and ensure pixel-perfection before it goes in a portfolio.
  • Use [consistency_note] to lock cross-screen details, like making all charts share one chart-library visual style.
  • Generate the dark-mode variant from the same screen so contrast and layout stay faithful rather than reinvented.

Frequently Asked Questions

Are these real screenshots or AI-generated images?
They are AI-generated mockups, not screenshots of working software. The prompt is meant for portfolio case studies when the real product isn't shippable yet, so refine the output in Figma to make it convincing.
How do I keep all the screens looking consistent?
Use a single named `[color_palette]` with hex codes and a consistent `[design_style]` across every screen prompt. The consistency rules also enforce matching typography, navigation, and realistic data so the set reads as one product.
Can it produce a dark-mode version?
Yes. One of the standard screen prompts generates a dark-mode variant with proper contrast and accessibility. Generate it from the same screen so the layout stays faithful to the light version rather than being reinvented.
Does it include device frames?
Yes. It offers framing options for each screen: a clean frameless screenshot, a realistic device mockup matching your `[device_type]`, a lifestyle context shot, and a multi-device responsive showcase.
Will the mockups have realistic data?
They will if you guide them. The consistency rules explicitly warn against lorem ipsum and round-number placeholders, so describe believable content in `[screens_needed]` and refine the data in post-processing.
Engr Mejba Ahmed

Need this built for real?

Engr Mejba Ahmed

AI Developer · Software Engineer

I'm Mejba — I design and ship production AI systems, automations, and full-stack apps. If you want this turned into a working solution for your team, let's talk.

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Engr Mejba Ahmed

Engr Mejba Ahmed

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