​The Free AI Prompt Generator

Getting good results from AI starts with one thing: the prompt. You might know what you want. But putting it into words the AI understands? That’s the hard part. If the prompt’s too broad, the output feels random or plagiarised. If it’s too detailed, it might miss the point.

This is where Feedough’s AI Prompt Generator helps you. It turns your rough idea into clear, effective, and well-detailed prompts that actually get better results from AI. You can use it for any task, whether it’s generating text, images, or video

If you’re looking for more control or want to fine-tune prompts that you’ve already written, you can even use the AI Prompt Optimiser alongside this.

What Is a Prompt in AI?

A prompt is the input you give to an AI model to tell it what you want. It’s how you communicate your request, whether that’s a question, an instruction, or a description of a task.

Prompts can be short and straightforward like: “Translate this to Spanish.” Or they can be detailed: “Translate this marketing email to Spanish, keeping a professional tone and adapting idioms for a Mexican audience.” The AI uses whatever you provide to figure out what to generate.

Think of it like giving directions. If you tell someone “go downtown,” they might end up anywhere. But if you say “take Main Street to 5th, turn left at the coffee shop,” they’ll get exactly where you need them. Prompts work the same way.

More context usually means better results.

What is an AI Prompt Generator?

AI Prompt Generator is a simple AI-powered tool that helps you write better prompts for AI tools like Claude, ChatGPT, Midjourney, Kling, etc.

You tell it what you’re trying to do: write a blog post, generate an image, create a video scene, plan a lesson, anything. Based on that, it creates a clear, detailed prompt you can give to the AI. The goal is to get results that are more accurate, more useful, and closer to what you had in mind.

The AI Prompt Generator uses generative AI and natural language processing (NLP) to shape your input into structured prompts. It’s trained to understand different types of tasks and suggest wording that helps the AI respond more effectively, similar to how the Zero-Shot Prompt Generator handles tasks with minimal examples.

For example, let’s say you enter: “I want to write a short story about an astronaut.”

Instead of just repeating that, the generator might produce: “You are a creative fiction writer. Write a detailed short story about an astronaut’s experience on a solo mission. Include emotional challenges, a turning point in the plot, and a meaningful ending.” If you use ChatGPT specifically, the ChatGPT Prompt Generator is tailored for tasks like this across personal, academic, and professional use cases.

The same logic applies to image and video prompts. More context, better structure, better output.

How Does Feedough’s AI Prompt Generator Work?

Now we know what the AI Prompt Generator is and what it does, but how does it actually work? Here’s how:

First, You Enter Your Input

You’ll find a text field that starts with: “Give me an AI prompt to…” This is where you describe your task. Just complete the sentence with what you want the AI to help with.

For example: “Give me an AI prompt to write a scene where two strangers meet during a power outage.”

Now here’s the key: be as specific as you can. Don’t just say “write a blog post”, say something like: “Give me an AI prompt to write a blog post for beginners explaining how compound interest works, in a friendly and casual tone.”

The more details you include- who the audience is, the tone, the topic, even the length- the better the generator can shape a useful, structured prompt. Vague inputs lead to vague outputs. But when you’re clear, the prompt you get will be ready to use with almost no extra work.

The same applies to image and video prompts. For images, describe the subject, setting, and mood you have in mind. For videos, describe the scene, what’s happening, and the overall feel. The more specific you are, the better the output. If you’re working on visual content, tools like the Midjourney Prompt Generator, image to prompt generator or the Stable Diffusion Prompt Generator can help you craft image-focused prompts with the same ease.

The AI Prompt Generator Processes Your Input

The AI Prompt Generator begins by using Natural Language Processing (NLP) to interpret your input. NLP allows the system to understand not just the inputs but also to interpret the intent behind them and to know exactly what you want. If your task requires reasoned responses or complex logic, the AI Reasoning Prompt Generator can help you build prompts that guide AI towards deeper insights.

The AI Prompt Generator is trained on vast amounts of prompts, scenarios, concepts, ideas, and writing guides. This training helps it recognise patterns in how prompts are structured, whether that’s a text instruction for ChatGPT, a visual description for an image model, or a scene breakdown for a video generator.

Using these patterns, the tool creates prompts that are detailed and guide the AI to execute the intended tasks.

With all the details you provide as inputs and its huge knowledge base, the tool uses generative AI to turn your input into a detailed prompt. It combines creativity with logic, ensuring the prompt aligns with your needs while adding depth.

Final Output

The output is a well-detailed and structured prompt that acts as instructions for the AI tools. These prompts are detailed enough to ensure high-quality outputs while avoiding unnecessary complexity.

You can use the prompt as it is or tweak it to better suit your style. If needed, you can refine the output by adjusting your input, adding more context, specifying the tone, or focusing on a particular theme or task, etc. The flexibility of the output allows you to refine the prompt until it perfectly matches your vision.

You can make unlimited generations until you get the desired results. Over time, the AI Prompt Generator gets better at understanding your preferences. With each generation, it learns to provide more accurate and personalised results, ensuring the prompts align closely with your unique goals and style.

Benefits of Using Feedough’s AI Prompt Generator

The AI prompt generator offers several benefits aside from removing guesswork, improving clarity, and saving you time. Here’s how.

Turns Rough Ideas Into Structured Prompts

Many people know what they want but struggle with how to ask the AI. The AI prompt generator bridges that gap. You enter your basic task or idea, and it turns it into a structured, detailed prompt that the AI can understand easily: whether that’s a text task, an image concept, or a video scene.

Reduces Trial and Error

Without a proper prompt, it’s easy to get stuck in cycles of tweaking, rewording, and running the same task multiple times. By guiding you to give better input and producing more focused prompts in return, you get relevant output faster. Fewer corrections. Less time wasted.

Makes AI More Accessible for Non-Experts

Not everyone knows how to write a good image prompt or how to structure a video generation instruction. The generator simplifies this by handling the technical part of prompt-building behind the scenes. You just describe what you need in plain language.

This makes it useful for anyone: students, marketers, content creators, designers, educators, whether they’re writing a blog post, generating a product image, or creating a short video clip with an AI tool.

Adaptable to Any Use Case

The generator works across formats, modalities, and industries. Text content, image generation, video creation: it adjusts to your input and goal. It doesn’t lock you into templates. It builds the prompt around your exact need.

Model-Specific Optimisation

For text prompts, you can choose to optimise for ChatGPT or Claude. For video prompts, you can choose the exact platform you’re generating for: Kling, Seedance, or Veo 3. This means the prompt is structured the way that specific model works best, not just as a generic instruction.

Helps You Learn What Makes a Good Prompt

Every prompt you get back is a chance to learn. By reading the results, you start to see patterns in how prompts are structured and why they work: across text, image, and video. Over time, this helps you develop an intuition for better prompting, even without the tool.

Speeds Up the Creative Process

When you don’t have to think hard about how to phrase your request, you can focus on the task itself: writing, designing, creating. You spend less time setting up and more time producing.

How to Use Feedough’s AI Prompt Generator Effectively?

Before you start generating, here is a step-by-step breakdown of how to use the AI prompt generator to get the best results.

Text Prompts

Text prompts are for generating written content: blog posts, emails, scripts, lesson plans, social media copy, or any task where the output is words. Use this mode when you want to get a structured prompt to feed into ChatGPT, Claude, or any other large language model.

Step 1: Describe What You Want

You will see a text field with the placeholder: “I want a prompt that will…” Complete it with your task. The more specific you are, the better the output.

For example, instead of “write a blog post,” try: “write a blog post for beginners explaining how compound interest works, in a friendly and casual tone.”

A few tips to shape your input:

• What is the task? (e.g., write, explain, brainstorm)
• What’s the topic? (e.g., budgeting tips, romantic story, email subject lines)
• Who’s the audience? (e.g., high school students, busy professionals, tech beginners)
• What tone or format do you want? (e.g., casual, persuasive, list, dialogue, etc.)

Step 2: Choose Your Prompt Framework

Below the input, there is a dropdown set to “Standard” by default. This controls the structural framework used to build your prompt. Picking the right one helps the AI understand exactly what you need. 

Here’s what each one does:

• Standard: Uses Feedough’s ORACLE prompt framework (Objective, Role, Action, Context, Layout/Length, Example) as the default structure. A well-rounded starting point that works for most tasks.
• Reasoning: Built for tasks that require logical, step-by-step thinking. Best when you need the AI to work through a problem, analyse something, or explain its logic.
• RACE (Role, Action, Context, Example): Keeps things direct and goal-focused. Good for content creation and tasks where you want a clear output fast.
• CARE (Context, Action, Result, Example): Action-oriented and results-driven. Works well for business requests and problem-solving scenarios where a concrete example improves the output.
• APE (Action, Purpose, Expectation): Simple and efficient. Best for quick, clear tasks where you just need to define what to do, why, and what the final output should look like.
• CREATE (Characterise, Request, Examples, Adjust, Test, Evaluate): A more iterative framework that guides you through writing, reviewing, and refining the prompt. Useful when you want to fine-tune for quality.
• TAG (Task, Action, Goal): One of the most straightforward frameworks. Great for simple, focused tasks where you just need to define the task, the action, and the goal.
• CREO (Context, Role, Evidence, Output): Ideal for tasks that require factual accuracy. By asking you to provide evidence, it reduces the chances of the AI generating incorrect or made-up information.
• RISE (Role, Input, Steps, Expectation): A reliable general-purpose framework. Works especially well when you need a structured, step-by-step output.
• PAIN (Problem, Action, Information, Next Steps): Best for problem-solving prompts. It focuses the AI on diagnosing an issue and suggesting what to do next.
• COAST (Context, Objective, Actions, Scenario, Task): A comprehensive framework suited for deep, process-heavy tasks where multiple layers of context and action need to be covered.
• ROSES (Role, Objective, Scenario, Expected Solution, Steps): One of the more detailed frameworks. It breaks the task into a logical sequence of steps, making it great for complex outputs that need structure and depth.
• RESEE: A framework built around reflection and refinement. Best used when you want the AI to evaluate, improve, or build on existing content rather than create from scratch.

Step 3: Select Your Target AI Model

There is a second dropdown that lets you choose which AI model you are optimising the prompt for. This is separate from the framework and shapes how the prompt is worded and structured to get the best response from a specific tool.

1. ORACLE is the standard prompt framework by Feedough.com, which can be used for all AI models. It breaks a task into six parts: Objective, Role, Action, Context, Layout/Length, and Example, to give better and more accurate results from AI.

2. ChatGPT Optimised structures the prompt specifically to get the best results from ChatGPT. The wording, instructions, and format are tailored to how ChatGPT processes and responds to inputs, so if you plan to use your prompt in ChatGPT, this is the right pick.

3. Claude Optimised does the same but for Claude. It accounts for how Claude interprets instructions and generates responses, making it the better choice if you are running your prompt through Claude.

Step 4: Generate and Review the Output

Click the Generate button. The tool will produce a detailed, structured prompt in the Generated Prompt panel below.

The output typically includes a role definition, audience context, key focus areas, things to avoid, structural guidelines, tone instructions, and a final directive. You can copy it directly using the Copy button at the top right of the output panel.

Image Prompts

Image prompts are for generating visuals with AI tools like Midjourney, Stable Diffusion, Flux, ChatGPT, etc. Use this mode when you have an image concept in mind and want a prompt that captures the style, composition, lighting, and mood accurately.

Step 1: Describe the Image You Want to Create

Click the Image Prompt tab, then type a description of the image in the text field. Be as specific as you can about the subject, setting, and mood.

For example, instead of “a woman in a city,” try: “a young woman walking through a rain-soaked street in Tokyo at night, neon reflections on the wet pavement.”

Step 2: Choose Your Visual Settings

Before clicking Generate, you can use the four visual controls to narrow down the look of your image. All four default to Auto, which lets the generator decide based on your description.

• Style: Choose the artistic medium or style. Click the Style dropdown to open a visual picker with categories: Photographic, Painted and Illustrated, Digital and 3D, Sculpted and Handmade, and Art Movements. Use the search bar or filter tabs to find what you need.
• Shot Type: Controls how close or far the camera is from the subject. Options include Extreme Long Shot, Long Shot, Full Shot, Medium Long Shot, Cowboy Shot, Medium Shot, Medium Close-Up, and more. Each is shown with a reference image so you know exactly what you are picking.
• Camera Angle: Sets the position and viewpoint the camera shoots from. Options include Eye-Level, Low Angle, High Angle, Bird’s-Eye View, Worm’s-Eye View, Dutch Angle, Shoulder-Level, Hip-Level, etc. Filter by Angle or Lens to narrow down options.
• Mood/Lighting: Controls the lighting, atmosphere, and colour tone of the scene. Options include Ambient Occlusion, Backlight, Broad Light, Chiaroscuro Lighting, Dim Light, Fill Light, Flash Light, Flat Light, and more. Filter by Lighting, Light Effects, or Color and Filter.

Step 3: Generate and Copy

Click Generate. The output is a detailed image prompt with style language, composition details, lighting, and mood built in. Copy it and paste it directly into your image AI tool of choice: Midjourney, Stable Diffusion, Flux, DALL-E, or any other.

Video Prompts

Video prompts are for generating AI video with tools like Kling, Seedance, or Veo 3. Use this mode when you want to turn a scene concept into a detailed prompt that covers motion, atmosphere, pacing, and visual style, optimised for the specific platform you are using.

Step 1: Describe the Video Scene

Click the Video Prompt tab, then describe the scene you want to generate. Include the setting, what is happening, any movement, and the overall feel.

For example: “a drone slowly rising above a dense forest at sunrise, morning mist rolling through the trees, golden light filtering through the canopy.”

The more specific you are about action and atmosphere, the better the output.

Step 2: Choose Your Video Style

Below the text field, there is a Video Style dropdown that lets you select which AI video platform you are generating for. This optimises the prompt structure for that specific model.

• Standard: A general-purpose video prompt that works across most platforms.
• Kling 3 (Kuaishou): Optimised for Kling’s video generation model.
• Seedance (ByteDance): Optimised for ByteDance’s Seedance model.
• Veo 3 / Gemini Omni (Google): Optimised for Google’s Veo 3 and Gemini Omni models.

If you are not sure which to pick, Standard works as a general starting point.

Step 3: Generate and Copy

Click Generate. The output is a structured video prompt with scene description, motion direction, visual style, and pacing details. Copy it and use it directly in your chosen video AI tool.

Improve the Prompt Using the Sidebar

On the right side of the screen, the “Improve Prompt” panel gives you a way to refine the generated output without starting over.

It asks you some follow-up questions, such as what specific goals you want to achieve, who the primary audience is, and what format or level of detail you expect. Answering these helps the tool tailor the prompt more precisely to your needs.

There is also a Your Additional Improvements text box where you can add any specific instructions. For example: “Make it more persuasive, add a stronger CTA, and keep the tone professional but friendly.”

Once you have filled in your preferences, click Improve Prompt to get a refined version.

FAQ