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Claude/ChatGPT Prompt to Design a Journal Entry Composer UI

Design a distraction-free journaling composer UI with mood, photos, prompts, tags, and autosave for a calm, daily writing habit.

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Your Prompt
prompt.txt
You are a senior mobile product designer. Design a journal entry composer screen and return real component code, not a mockup description.

Context:
- Stack: React Native + Expo
- Tone and mood: calm, minimal, warm paper feel
- Writing context: a nightly reflection before bed

Deliverables:
1. A distraction-free writing area that grows with content and hides chrome while typing.
2. A mood selector that records how the writer felt, without breaking flow.
3. Photo attachments with a clean add/remove gallery and reorder.
4. A daily writing prompt the user can accept, swap, or dismiss.
5. A live word count, entry tags, and a markdown preview toggle.
6. Autosave with a visible "saved" state and safe recovery after a crash.

Output: composer component code plus a one-line note on the autosave and recovery strategy.

What this prompt does

This prompt turns the model into a senior mobile product designer and asks it to design a complete journal entry composer screen, returning real component code rather than a mockup description. It is opinionated about which six pieces matter: a distraction-free writing area, a mood selector, photo attachments, a daily writing prompt, word count plus tags plus a markdown preview, and autosave with safe crash recovery. By naming the deliverables explicitly, you stop the model from wandering into nice-to-haves and force it onto the parts that make journaling tools usable.

The three variables steer the result. [stack] decides the actual framework and component idioms (the default is React Native + Expo). [mood] shapes the visual tone, so a value like "calm, minimal, warm paper feel" pushes toward soft spacing and muted color rather than dense chrome. [writing_context] tells the model when and why someone journals, which changes copy and defaults — a nightly reflection screen behaves differently from a quick gratitude log. The autosave requirement is the load-bearing part: it makes the model treat persistence as a first-class concern instead of an afterthought.

When to use it

  • You are building a journaling, notes, or diary app and need a composer screen, not a full design system.
  • The brief asks for a "calm" or distraction-free writing experience and your first draft feels button-heavy.
  • You want autosave and crash recovery designed in from the start rather than retrofitted.
  • You need working component code in a specific stack to hand to engineering or iterate on yourself.
  • You are prototyping mood tracking tied to written entries and want the selector to not break writing flow.
  • You want a markdown preview toggle and tagging without overcomplicating the primary writing surface.

Example output

Expect a composer component (or small set of components) in your chosen [stack], with a growing text area that hides chrome while typing, an inline mood selector, an add/remove/reorder photo gallery, an acceptable-or-dismissable daily prompt, and a live word count with tags and a preview toggle. It closes with a one-line note on the autosave and recovery strategy — typically debounced local persistence plus a visible "saved" state and a recovery path after a crash. It is a starting implementation you refine, not a finished product.

Pro tips

  • Make [mood] concrete and sensory ("warm paper feel," "soft, low-contrast") rather than abstract; vague tone values produce generic UI.
  • Set [writing_context] to the real moment of use so defaults, prompt copy, and tone match how people actually write.
  • Build and verify the autosave behavior before touching styling — losing an entry once destroys trust in the whole app.
  • Ask for the "saved" state to be honest and visible; a fake or optimistic indicator is worse than none.
  • If the first pass over-decorates, re-run with [mood] emphasizing restraint and explicitly request that chrome hide while typing.
  • Swap [stack] to match your real project so the generated code uses idiomatic components instead of needing translation.

Frequently Asked Questions

Does this prompt return actual component code or just a description?
It explicitly asks for real component code in your chosen stack rather than a mockup description. You get a composer implementation you can drop into a project and refine, plus a short note on the autosave and recovery strategy.
How does the mood variable change the design?
The `[mood]` variable sets the visual tone the screen should convey, so values like "calm, minimal, warm paper feel" push the model toward soft spacing and muted color. Concrete, sensory descriptions work far better than abstract words like "clean".
Can I use this for a web journaling app instead of mobile?
Yes. Change the `[stack]` variable from the React Native default to your web framework and the model adapts the component idioms. The composer concepts like autosave and a growing writing area apply equally to web.
Why does the prompt insist on autosave and crash recovery?
Journaling tools lose user trust permanently the first time an entry vanishes. The prompt makes autosave a required deliverable with a visible saved state and recovery path so persistence is designed in from the start, not bolted on later.
Engr Mejba Ahmed

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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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