🧠 AI Prompt Studio

Build structured, high-quality prompts for ChatGPT, Claude, Gemini, and more — or paste a weak prompt and get an improved version instantly.

💡 100% client-side • No API key needed • Works offline

🔧 Prompt Builder

🎭 Role / Persona Who should the AI be?

🌍 Context / Background What's the situation?

🎯 Task What exactly should it do?

📋 Output Format How should it respond?

🎨 Tone Voice and style

⚠️ Constraints What to avoid or limit

💡 Examples Show/tell what good looks like

✨ Generated Prompt

Fill in the fields on the left to generate your prompt...

How to Write Better AI Prompts in 2026

🎭 The Role Technique

Start with "You are a [expert role]..." — this primes the model to draw on relevant knowledge and write in the right voice. "You are a senior UX designer" gives very different results than "help me with my app."

🎯 Be Specific About Output

Vague prompts get vague answers. Always specify: length (200 words), format (bullet list), count (5 ideas), audience (beginners), and what to avoid. Constraints are not limiting — they're focusing.

🌍 Context Is Everything

The AI has no idea who you are or what you're building. Give it background: your industry, your audience, what you've already tried, what tools you're using. More context = better output.

💡 Show, Don't Just Tell

Include 1–2 examples of what good output looks like. "Like this: [example]" or "In the style of [X]" dramatically improves quality. Few-shot prompting works even with just one example.

🔄 Chain Your Prompts

For complex tasks, break them into steps. First ask for an outline, then expand each section. This is more reliable than asking for everything at once and avoids token-limit issues.

⚠️ Use Negative Constraints

"Do not use jargon", "Avoid clichés like 'in conclusion'", "Don't suggest [X]" — negative constraints are often more effective than positive ones at shaping the output to your exact needs.

💡 The RCTFE Framework: Every great prompt has a Role, Context, Task, Format, and Examples (RCTFE). This tool builds all 5 automatically — use the Build Prompt tab to fill them in and see how they combine into a structured, high-performance prompt.

Prompt Engineering for Each AI Model

ChatGPT / GPT-4o

GPT-4o responds well to explicit role assignment and structured formatting requests. Use markdown headers in your prompt to get markdown headers back. It handles long system prompts well — front-load your most important constraints. Works best with clear step-by-step instructions for complex tasks.

Claude (Anthropic)

Claude excels at nuance and following complex instructions. It prefers natural language over rigid formatting in prompts. Add "Think step by step" for reasoning tasks. Claude is particularly good at following negative constraints — if you say "avoid X", it reliably avoids X. It also responds well to being asked to show its reasoning.

Gemini (Google)

Gemini benefits from structured prompts with clear sections. It handles multimodal tasks (combining text and image analysis) extremely well. For long-document analysis, Gemini's 1M token context window is unmatched — structure your prompt to reference specific sections of the document for best results.

General Prompt Tips

Regardless of which model you use: start with the most important instruction, use line breaks to separate sections, be explicit about length and format, and always review the first output then refine your prompt rather than starting over. A good prompt is an iterative process — use the Improve tab to evolve yours.