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Prashant Kumar Singh
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Freelance project · AI products

Prompt Generator

Answer a few questions and get a well-structured prompt ready to use

Prompt Generator turns a handful of answers about a task into a clear, structured prompt for any large language model. It’s for people who use AI at work but don’t want to learn prompt writing. I designed the question flow, the live prompt view and the saved prompt library.

Role
Product design
Type
Freelance
Platforms
Web
Scope
UX, UI design

01The problem

What needed solving

Good prompts follow a pattern: a role, the task, the context, the constraints and the format you want back. Most people know what they want but not how to say it to a model, so they write one line and get a vague answer. The tool had to capture the right details without feeling like a long form.

Who it’s for

  • Professionals using AI daily

    Get reliable results for routine tasks like emails, summaries and reports.

  • Newcomers to AI tools

    Learn what makes a good prompt by seeing one built from their own answers.

  • Teams sharing prompts

    Reuse proven prompts so everyone gets consistent output.

02The main flow

From task to ready prompt

The moment in blue is the one the whole design is built around.

  1. 01

    Pick a task type

  2. 02

    Answer short questions

  3. 03

    Watch the prompt build

  4. 04

    Tweak and copy

  5. 05

    Save to library

03Structure

How Prompt Generator is organised

Everything has one home. Getting this right first keeps every screen simpler.

Generate

  • Task types
  • Question flow
  • Live prompt

Output

  • Copy
  • Edit in place
  • Format options

Library

  • Saved prompts
  • Tags
  • Recently used

Account

  • Preferences
  • Default tone
  • Plan

04Key decisions

Choices that shaped it

What I considered, what I chose, and why.

Decision 01

Live preview beside the questions

If the prompt only appears at the end, users can’t see how each answer changes it, and the form feels like a chore.

Considered

A step-by-step wizard that reveals the prompt on its final screen.

Chosen

I designed a split screen where the prompt builds up as each answer comes in, with the newly added part briefly highlighted.

Why it works

Seeing the effect of every answer makes the questions feel worth filling in and teaches the structure along the way. It needs a wider layout, so on small screens the preview collapses into a drawer.

Decision 02

Task type first, questions second

A single generic form would ask too much for simple tasks and too little for complex ones.

Considered

One universal form with every field shown.

Chosen

The user picks a task type first, such as an email, a summary or an analysis, and sees only the questions that type needs, with defaults already filled in.

Why it works

Tailored questions keep the path short and relevant. It does mean maintaining separate question sets, so I documented them as simple tables the team can extend.

Decision 03

Plain-language labels, not prompt jargon

Terms like persona, few-shot or output schema mean little to most users and make the tool feel technical.

Considered

Expert terminology with tooltip definitions.

Chosen

I wrote every question in everyday words, like “Who should the AI act as?” and “What should the answer look like?”, while the generated prompt uses the proper structure.

Why it works

Users answer in their own terms and still get a well-built prompt. Anyone curious can read the result and see how their answers were turned into it.

05What’s inside

Key features

Task templates

Start from a task type with its own short question set.

Live prompt preview

Watch the prompt take shape as each answer is added.

Smart defaults

Sensible answers are prefilled, so users only change what matters.

One-click copy

Copy the finished prompt as plain text, ready for any AI tool.

Prompt library

Save, tag and reuse the prompts that worked.

06Outcome

What was delivered

Delivered

  • A task picker and a question set for each task type
  • The split-screen generator with live preview and a mobile drawer
  • Copy, edit and save flows for finished prompts
  • A prompt library with tags and recently used prompts
  • Annotated screens plus the rules that map answers into a prompt

What I learned

  1. 01

    The best way to teach a skill inside a tool is to let people watch its result form, not to explain it.

  2. 02

    Short forms come from choosing what not to ask; every question I cut made the generator better.

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