Productivity App Launch Mockup — ChaosRealmsAI · MIT

原文

GPT Image 2 · en

Scene:
A square launch-page board for a consumer productivity app, composed as a premium design presentation with one central phone render, two secondary screen crops, and surrounding modular landing-page sections. Use bright daylight studio lighting, soft white surfaces, deep slate blue accents, muted mint highlights, and a few disciplined coral signals. The view is front-facing with slight depth from shadows and layered cards, giving the board a polished commercial realism.

Subject:
Design a believable focus-and-planning app marketing page kit. The main phone should show a quiet dashboard with task stacks, scheduling blocks, a concentration timer, and progress rings. Around it, show supporting modules for feature explanation, screenshot detail, and store-promo extension, all using the same rounded UI language and careful spacing. The composition should feel ready for a real launch campaign, with enough device realism to look trustworthy and enough layout structure to read as a formal marketing page rather than a random mockup. Any copy areas must be represented as elegant abstract bars instead of readable words.

Important details:
Keep the device materials realistic, the interface crisp, and the module hierarchy easy to scan. Make the selling points feel calm, capable, and mature rather than flashy. The board should balance product storytelling, screenshot credibility, and premium restraint. Every section should look intentionally designed for conversion, App Store extension, and editorial product marketing.

Use case:
App Launch Marketing Page Kit single study 1/5, testing a premium productivity launch angle.

Constraints:
No readable text, no watermark, no logos, preserve exact 1:1 aspect ratio, no exaggerated fantasy effects, no crowded widget chaos, no warped phone geometry, no duplicate inconsistent interfaces, no lifestyle hands.

使い方

1. パラメータを含む元のプロンプト全体をコピーします。
2. 被写体、文字、構図を自分の要件に置き換えます。
3. 対応する外部ツールで使用し、利用条件と結果を確認します。

開始前の確認

• 参考画像の要否を確認してください。互換モデルの表示は、そのモデルでの生成実績を意味しません。
• 名前、数値、画像内の文字を確認します。モデルの版で結果は変わります。