You have an idea. You open ChatGPT — or Claude, or Gemini — and you start typing. Ten minutes later, you've rewritten your prompt three times, and the AI still isn't giving you what you actually need.
The gap between what you want and what you type is where most AI interactions fall apart. Prompt engineering is a real skill, and most people don't have time to master it. That's exactly the problem the AI Prompt Generator solves.
This walkthrough covers every step, every model, and the features most users don't discover on their own.
Step 1: Navigate to the AI Prompt Generator
Head to sureprompts.com/ai-prompt-generator. No account required for your first generations — you can start immediately.
You'll see a clean interface with two elements: a text input for your request and a model selector dropdown. That's it. No complex forms, no configuration screens. The simplicity is intentional — the AI handles the complexity for you.
Pro tip: Bookmark sureprompts.com/ai-prompt-generator?model=claude (or any model name) to jump straight to your preferred model every time. The ?model= parameter pre-selects the model dropdown, saving you a click on every visit.
Step 2: Describe What You Need
Type what you want in plain English. Don't worry about structure, formatting, or prompt engineering techniques — that's the generator's job. Just describe the outcome you're after.
The more specific you are about the domain and context, the better the generated prompt will be. But even vague requests produce solid results.
Here are three real examples across different use cases:
Marketing Example
Your input:
Write a product launch email sequence for a new project management tool aimed at small agencies
What the generator builds: A detailed prompt that assigns a senior email marketing strategist role, specifies a 5-email drip sequence with specific goals for each email (awareness, pain points, social proof, feature deep-dive, urgency/CTA), defines the target audience as agency owners and project leads at 5-25 person firms, sets a professional-but-approachable tone, and includes constraints around email length, subject line A/B variants, and CTA placement.
Coding Example
Your input:
Help me refactor a React component that's re-rendering too much
What the generator builds: A prompt positioning the AI as a senior React performance engineer, requesting a systematic analysis of unnecessary re-renders, covering useMemo, useCallback, React.memo, state lifting, and context splitting strategies. It includes instructions to explain why each optimization works (not just the fix), provide before/after code examples, and flag common pitfalls like premature optimization.
Research Example
Your input:
Summarize the latest research on microplastics in drinking water
What the generator builds: A prompt assigning the role of an environmental science researcher, requesting a structured literature review covering detection methods, health impact findings, filtration effectiveness, and regulatory developments. It specifies academic tone, requires source attribution, asks for a summary table of key studies, and includes instructions to flag areas where scientific consensus hasn't been reached.
Step 3: Choose Your Target Model
This is where the AI Prompt Generator does something most tools don't — it tailors the prompt structure to match how each model actually processes instructions.
Here's why model selection matters and what each option does:
ChatGPT (GPT-4o)
Prompts get conversational formatting with markdown structure. ChatGPT tends toward verbosity, so generated prompts include explicit length constraints and output format specifications to keep responses focused.
Claude (Anthropic)
Claude responds exceptionally well to structured organization. Generated prompts use clear section breaks, detailed context framing, and Claude's strength with long context windows — up to 200K tokens.
Gemini (Google)
Gemini excels at structured output and multi-step tasks. Prompts include explicit task decomposition and formatting instructions that leverage Gemini's structured generation capabilities.
Grok (xAI)
Grok's direct communication style means prompts are formatted concisely. Generated prompts emphasize clarity and specificity, playing to Grok's real-time data access and no-nonsense response pattern.
Llama (Meta)
As an open-source model, Llama follows instructions literally. Prompts are formatted with explicit, unambiguous instructions — less room for interpretation, more precise directives.
Perplexity
Perplexity is built for research. Generated prompts include instructions to cite sources, compare findings across multiple references, and flag confidence levels — playing to Perplexity's strength as an AI-powered research engine.
DeepSeek
DeepSeek has native chain-of-thought reasoning. Prompts leverage this by structuring requests that benefit from step-by-step reasoning, especially strong for math, logic, and code problems.
Copilot (Microsoft)
Copilot prompts account for its integration with Microsoft 365 and web browsing capabilities. Generated prompts are formatted to work within Copilot's context-aware environment.
Any AI Model (General)
Choose this when you'll use the prompt across multiple models or with a model not listed. The generator creates a universal prompt using patterns that work well across all major LLMs.
Step 4: Review and Refine the Output
Once you click generate, the AI builds your prompt in real time with streaming output. You'll see the prompt construct itself piece by piece — role assignment, task definition, context, formatting instructions, and constraints.
When generation completes, you have three options:
- Copy — One click copies the entire prompt to your clipboard. Paste it directly into your AI model.
- Save — Store the prompt for later. Authenticated users get cloud storage; anonymous users get local storage (up to 10 recent prompts).
- Regenerate — Not satisfied? Hit regenerate for a fresh take on the same request. Each generation produces a different approach, so regenerating often surfaces angles you hadn't considered.
Editing tip: The generated prompt is a starting point, not scripture. Before copying, scan it for any constraints or instructions you'd want to adjust. Adding a sentence like "Focus specifically on B2B SaaS, not consumer products" after generation can sharpen the output significantly.
Step 5: Use Template Suggestions
After generating a prompt, the AI Prompt Generator suggests relevant templates from the Template Builder that match your request. This is one of the most underused features.
Why it matters: if you find yourself generating similar prompts repeatedly — say, weekly marketing briefs or daily code review requests — a template is more efficient. The suggestion feature surfaces templates you might not have found browsing the full library of 320+ options.
Click any suggested template to open it in the Template Builder, where you can customize the variables and save it for repeated use.
Pro Tips for Power Users
Use Session History
The generator maintains your recent session history. Scroll down to see your previous generations in the current session. This is useful when you're iterating on related prompts — you can reference what worked and build on it.
Save Prompts for Later
Signed-in users can save generated prompts to their cloud library, accessible from any device. Even without an account, the generator stores your 10 most recent prompts locally so you don't lose work if you close the tab.
Direct Model Access via URL
Each model has a direct URL:
/ai-prompt-generator?model=chatgpt/ai-prompt-generator?model=claude/ai-prompt-generator?model=gemini/ai-prompt-generator?model=grok/ai-prompt-generator?model=llama/ai-prompt-generator?model=perplexity/ai-prompt-generator?model=deepseek/ai-prompt-generator?model=copilot
Bookmark your preferred model for one-click access.
Combine with the Template Builder
Generate a prompt → copy the structure → use it as inspiration for a custom template in the Template Builder. This is how experienced users build personalized template libraries tailored to their exact workflows.
Common Mistakes to Avoid
Even with a tool that handles the heavy lifting, a few input patterns produce weaker results:
Being too vague. "Help me with marketing" gives the generator almost nothing to work with. "Write a LinkedIn ad targeting CFOs at mid-market SaaS companies for our expense management tool" gives it everything it needs. You don't need to write the prompt — but you do need to describe the outcome clearly.
Ignoring the model selector. Leaving it on the default when you know you'll use Claude or DeepSeek means missing model-specific optimizations. A prompt built for Claude's structured approach looks different from one built for Grok's direct style. Two seconds to select the right model improves every generation.
Not iterating. Your first generation is a strong draft, not a finished product. Read through the generated prompt and add any specific constraints the generator couldn't infer from your description. "Also make sure to address the compliance requirements in the EU market" takes five seconds to add and makes the output dramatically more relevant.
Copying without reading. The generated prompt includes role assignments, constraints, and formatting instructions. Skimming it before pasting into your AI model takes 15 seconds and lets you catch anything that doesn't match your intent — or spot an angle you hadn't considered.
Start Generating
The AI Prompt Generator turns 30 seconds of plain English into prompts that would take 10-15 minutes to write manually. Whether you're drafting marketing copy with ChatGPT, debugging code with Claude, or researching with Perplexity, model-specific optimization means better results from every generation.
No prompt engineering knowledge required. No signup required for your first try.
Open the AI Prompt Generator →
Prefer a structured approach? Browse 320+ templates in the Template Builder →