AI Writing Tools

Prompt Improver — Write Better AI Prompts

Turn vague instructions into precise prompts. Get dramatically better results from ChatGPT, Claude, Gemini and every other AI tool you use.

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Available on UnAI

The Prompt Improver is launching on UnAI — sign up for early access and be first to use it.

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Why does prompt quality matter?

The same AI model can produce a generic, unhelpful answer or a precise, actionable response — depending entirely on how well the prompt is written. Most people write prompts the way they would type a search query: short, vague and missing key context. AI models respond better to clear roles, specific output formats, and well-defined constraints.

Prompt engineering is the practice of writing instructions that consistently get the output you need. The Prompt Improver applies these principles automatically — you paste your weak prompt, and it rewrites it with specificity, context and structure.

Anatomy of a strong prompt

1

Role / persona

Tell the AI what expert it should act as. "Act as a senior UK tax adviser" produces a different answer than no role specified.

2

Task and output format

Be specific about what you want. "Write a 300-word blog introduction" beats "write something about ISAs".

3

Context and constraints

Include your audience, their knowledge level, any facts the AI needs to know, and what to avoid. Context is where most prompts fail.

4

Tone and style

Specify whether you want formal or casual, technical or plain English, long or concise. Unspecified tone defaults to generic.

5

Example (optional but powerful)

"Here's an example of what I'm looking for:" followed by a sample instantly anchors the AI's output to your expectations.

Before and after examples

Before — weak prompt

Write something about saving money for first-time buyers.

After — improved prompt

Act as a UK personal finance writer. Write a 400-word guide for first-time buyers aged 25–35 on the most effective ways to save for a house deposit in 2026. Cover the Lifetime ISA, cash ISAs and the 10% deposit threshold. Use a friendly, encouraging tone. Avoid jargon. Include one worked example with real numbers. End with a clear first action they can take this week.

Before — weak prompt

Help me write a LinkedIn post about my promotion.

After — improved prompt

Write a LinkedIn post announcing my promotion to Senior Marketing Manager at a UK fintech company. I've been with the company 3 years. The tone should be genuine and grounded — not braggy or corporate. Include a brief reflection on what I've learned and a thank-you to my team. Keep it under 180 words. Write in first person, conversational British English. No buzzwords like "thrilled" or "humbled".

Use cases

✍️

Content creation

Get blog posts, social captions and marketing copy that actually match your brief — not a generic version of what you asked for.

💼

Business writing

Improve prompts for reports, proposals, executive summaries and presentations — so the AI gives you a usable first draft, not a template.

🔍

Research and analysis

Write better research prompts that produce structured, cited, fact-dense responses rather than vague overviews.

💻

Code and technical tasks

Improve code generation prompts by specifying language, libraries, edge cases and expected output — getting working code first time more often.

🎨

Image generation

Improve Midjourney, DALL-E and Stable Diffusion prompts with style, lighting, composition and reference details for more consistent results.

📚

Learning and explanation

Get AI to explain complex topics at exactly the right level by specifying your background knowledge and what analogy would help most.

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Frequently asked questions

A good AI prompt has five elements: a clear role or persona for the AI (e.g. "act as a UK tax advisor"), a specific task with a concrete output format, the necessary context (your situation, audience, constraints), the tone or style required, and an example of what good looks like if you have one. Vague prompts produce vague results — specificity is the single biggest driver of output quality.
The prompt improver works with any text-based AI tool: ChatGPT (all versions), Claude, Google Gemini, Microsoft Copilot, Perplexity, Midjourney (for image prompts), and any other tool that accepts natural language instructions. The principles of a well-structured prompt are consistent across tools, though there are minor stylistic differences between models.
Yes — significantly. The same AI model given a weak prompt versus a well-structured prompt can produce outputs that are worlds apart in quality, accuracy and usefulness. Research and practitioner experience consistently show that prompt quality is one of the highest-leverage ways to improve AI output — more effective than switching models in most cases.
Yes — the Prompt Improver is free with no sign-up required for basic access. It is launching on UnAI. Sign up for early access on the AI Tools page.