Sponsored by Rubii AI.

Best 31 generative ai use cases Tools in 2025

MockThis, Celia, Aire, Plugger.ai, OpusWebsite, A.I. Cover Letter, GPTForMe, GenExpert.io, Orca, PromptPedia are the best paid / free generative ai use cases tools.

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What is generative ai use cases?

Generative AI use cases refer to the various applications and scenarios where generative AI technologies, such as deep learning models, can be employed to create new, original content or solutions. These use cases span across different industries and domains, showcasing the versatility and potential of generative AI in solving complex problems and enhancing creativity.

What is the top 10 AI tools for generative ai use cases?

Core Features
Price
How to use

Lexica

Generate personalized search results
Track search history
Save and organize liked content
Manage user account

To use Lexica, simply enter your search query in the search bar and click on the 'Search' button. The search engine will then generate a list of relevant results based on your query.

Guidde

AI-generated video documentation
Step-by-step description
AI-generated voiceover with customizable voices and languages
Easy-to-use editor for designing visuals
Smart sharing options for sharing videos anywhere

To use Guidde, follow these steps: 1. Install the Guidde browser extension for easy capturing. 2. Click on the extension icon and select 'Capture' to start recording your workflow. 3. Click 'Stop' when you're done recording. 4. Guidde will automatically generate a step-by-step description of your workflow. 5. Customize your video by choosing from over 100 different voices and languages for AI-generated voiceover. 6. Design your video with stunning visuals using Guidde's editor. 7. Share your Guidde anywhere by using a link or embedding it in your organization. With Guidde, you can create professional video documentation quickly and easily, without the need for extensive technical knowledge.

PromptLayer

Prompt generators to create high-quality prompts
Data analysis tools to evaluate prompt performance
Performance tracking to monitor prompt effectiveness
Collaboration features for prompt engineering teams

To use PromptLayer, sign up for an account on the website. Once logged in, you can access the various features and tools offered by the platform to create, test, and optimize prompts. These tools include prompt generators, data analysis tools, performance tracking, and collaboration features.

OpusWebsite

Drag and drop website builder
Responsive templates
Custom domain support
Website analytics
SEO optimization tools
E-commerce integration

basic
pro
enterprise

To use OpusWebsite, simply sign up for an account and choose a template from the available options. Customize the template to fit your needs by adding text, images, and other content. Use the website editor to modify the layout and design, and preview your changes before publishing your website.

Astria

Generative AI images
Dreambooth API
High-quality fine-tuning
Motion creation
Easy-to-use APIs

To use Astria, simply access the platform and start creating your unique images. You can fine-tune the AI models without the need for managing GPUs, Python scripts, or adjusting hyperparameters. Additionally, you can create motion with your concepts to bring stories to life. The platform provides easy-to-use APIs that are performant and stable, allowing you to get started in just minutes.

88stacks

Omni Prompt for running prompts on multiple stable diffusion models
Prompt Generator for generating thousands of image variations
Stable Diffusion Resource and Guides for expert-level learning
Stable Diffusion Models database for finding and creating images with preferred models
Diffusion Taxonomy to understand how generative AI models visualize the world
Generative AI Designs for free access to thousands of concept ideas
Exhibits to showcase designs and request assistance with specific ideas
Weekly newsletter with the latest news, guides, and new models

To use 88stacks, simply sign up or log in to the website. Once logged in, users can access the various software tools provided to create AI-generated images. These tools include Omni Prompt, which enables users to run one prompt on thousands of stable diffusion models, and Prompt Generator, which helps generate thousands of image variations based on specific ideas or concepts. Additionally, users can browse through the stable diffusion models database, explore the diffusion taxonomy, and draw inspiration from the free designs published by 88stacks.

Creators' AI

AI insights and guides
Tools and resources for creators and entrepreneurs
Weekly updates on top AI tools and tutorials
Insights on AI use cases in different industries
Access to community discussions and chat
Archive of past articles and resources

To access the content on Creators' AI, you can subscribe to the publication by providing your email address. Once subscribed, you will receive regular updates and notifications about new articles and resources. You can read the articles directly on the Substack website or on the Substack app.

GetBot

Visual chatbot editor
Multi-channel integration
Natural language processing
Advanced analytics
Chatbot deployment
Customizable chatbot templates
Conversation flow management

basic_plan $29 per month
enterprise_plan Custom pricing

To use GetBot, users can sign up for an account on the website and access the intuitive dashboard. From there, they can design and customize chatbot conversations using the visual editor, integrate with popular messaging channels, and deploy the chatbot to start engaging with users.

Typly

Core Features of Typly
1. Full Keyboard Support: Typly provides all the features of soft keyboards. 2. Glide Typing: Write with gestures by swiping a finger between letters. 3. User Personalization: Get more personalized sentence suggestions based on your texting habits. 4. Response Suggestion: Automatic suggestions that fit the context of the conversation. 5. Dating Function: Increase your chances of impressing potential matches on dating apps. 6. Sentence Bundles: Diversify your conversations with sentence bundles from movies, books, and more.

How to Use Typly 1. Download and install Typly from your app store. 2. Enable Typly as your default keyboard. 3. Start a conversation in any messaging app. 4. As you type, Typly will suggest relevant sentences based on the conversation context. 5. Choose a suggested sentence with a single click to respond instantly. 6. Enjoy faster and more convenient messaging!

CodeGenie

Automated code generation
Template-based code generation
Customizable code templates
Support for multiple programming languages
Integration with popular IDEs
Collaboration and sharing capabilities

To use CodeGenie, simply import the necessary libraries or plugins into your development environment. Then, define the desired template for code generation and specify the inputs or variables. CodeGenie will automatically generate the corresponding code based on the defined template.

Newest generative ai use cases AI Websites

Real-world AI use cases for business success.
Free large language model adaptable to many use-cases.
An essential guide to leverage generative AI technologies and Large Language Models (LLMs) for creating value in organizations.

generative ai use cases Core Features

Content creation

Generative AI can be used to create new, original content such as text, images, music, and videos.

Data augmentation

Generative AI can help in augmenting existing datasets by creating synthetic data, which can be useful in scenarios where real-world data is scarce or expensive to obtain.

Design and prototyping

Generative AI can assist in the design process by generating novel designs, layouts, or prototypes based on given constraints and requirements.

Personalization

Generative AI can be used to create personalized content, recommendations, or experiences tailored to individual users' preferences and behaviors.

What is generative ai use cases can do?

Marketing and advertising: Generative AI can be used to create personalized ad content, product descriptions, and social media posts.

Drug discovery: Generative AI can aid in the discovery of new drug compounds by generating novel molecular structures with desired properties.

Architecture and urban planning: Generative AI can assist in creating and optimizing building designs, layouts, and urban landscapes based on various constraints and requirements.

Education and training: Generative AI can be used to create personalized learning content, assessments, and feedback for students based on their individual needs and progress.

generative ai use cases Review

User reviews of generative AI applications and tools have been generally positive, with many praising the technology's ability to create high-quality, original content and its potential to save time and resources. Some users have noted the impressive results achieved by generative AI in fields such as art, music, and design, while others have highlighted its usefulness in data augmentation and personalization. However, some concerns have been raised regarding the potential for misuse, such as generating fake content or deepfakes, and the need for responsible development and deployment of generative AI systems. Overall, users seem excited about the possibilities offered by generative AI and are eager to see how the technology will continue to evolve and impact various industries in the future.

Who is suitable to use generative ai use cases?

A user interacts with a generative AI-powered chatbot that can provide personalized responses and recommendations based on the user's preferences and past interactions.

An artist uses a generative AI tool to create new, unique artwork by providing high-level instructions and letting the AI generate the final piece.

A gamer plays a video game that uses generative AI to create procedurally generated levels, ensuring a fresh experience each time they play.

How does generative ai use cases work?

To implement generative AI use cases, the following steps can be considered: 1. Define the problem or task that generative AI will be applied to. 2. Collect and preprocess relevant data for training the generative AI model. 3. Select an appropriate generative AI architecture, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or Transformer-based models. 4. Train the generative AI model using the prepared data and chosen architecture. 5. Evaluate the performance of the trained model using appropriate metrics and benchmarks. 6. Deploy the trained model in the desired application or platform, ensuring proper integration and scalability. 7. Monitor and maintain the deployed model, updating it as needed based on new data or changing requirements.

Advantages of generative ai use cases

Increased efficiency and productivity in content creation and design processes.

Cost savings by reducing the need for manual labor in generating new content or designs.

Enhanced creativity and innovation by exploring novel solutions and ideas generated by AI.

Improved user engagement and satisfaction through personalized content and experiences.

Better decision-making by leveraging synthetic data generated by AI in scenarios where real-world data is limited.

FAQ about generative ai use cases

What is generative AI?
What are some common generative AI architectures?
How does generative AI differ from discriminative AI?
What are the main applications of generative AI?
What are the challenges in implementing generative AI?
How can businesses benefit from adopting generative AI?