Lesson 7 of 18By Nikita Duggal
TL;DR: Generative AI tools make creating text, images, videos, and audio faster and easier. Popular options like ChatGPT, DALL·E 3, Midjourney, and Jasper AI help boost productivity, while open-source tools like Mistral AI and Stability AI offer flexibility. Using these tools alongside human review ensures accurate and high-quality results.
Creating content can take a lot of time, whether it involves writing, design, or media production. Many teams now use generative AI tools to handle these tasks more efficiently. According to a 2025 McKinsey report, 79% of organizations regularly use generative AI across at least one business function, underscoring how quickly these tools have become part of everyday workflows.
Here’s what generative AI tools can help you do:
In this article, we will explore the top generative AI tools and help you figure out which ones suit your needs. We will also share practical tips to use these tools smoothly in your daily workflows.
Here are the top 20 generative AI tools that are helping teams create, design, and manage content more efficiently across different workflows:
Leonardo AI is a creative platform that helps you turn ideas into high-quality images, textures, and animations. It’s built for artists, designers, and developers who want to generate visual content quickly while retaining complete control over style and output. You can fine-tune models, upload assets, and integrate via API for custom workflows.








You can also explore ChatGPT Use-Cases: The Ultimate Guide to Using ChatGPT by OpenAI for detailed examples.










Start by identifying what you want to achieve with generative AI. Are you looking to automate content creation, enhance design processes, or streamline data tasks? Knowing your main objective helps narrow down to tools built specifically for your use case.
Each tool specializes in different areas. For instance, Jasper AI focuses on writing and marketing, while Midjourney and DALL·E 3 are ideal for visual design. Compare core features like customization options, integration support, and ease of use to find what aligns with your workflow.
Choose a tool that works smoothly with the platforms you already use, like Google Workspace, Slack, or Figma. Seamless integration saves time and ensures AI enhances your process rather than creating extra steps.
If you work in a team or large organization, look for tools that support multiple users, real-time collaboration, and centralized project management. Scalability ensures your chosen tool grows with your business needs.
Besides features, comparing pricing in this list of generative AI tools helps you choose the right one. Here’s an overview:
Tool
Pricing Model
Starting Price
Leonardo.AI
Tiered subscription (monthly/yearly)
Free
Runway ML
Per user/month
Free
Pika Labs
Freemium, credits-based
Free
Synthesys X
Subscription
$20/month
ElevenLabs
Free + subscription
Free
Lumen5
Subscription
$19/month
Ideogram
Freemium
Free
Veed.io
Subscription
₹499/month/editor
Recraft AI
Free + subscription
Free
ChatGPT
Free + subscription
Free
Claude
Free + subscription
Free
Mistral AI
Free + subscription
Free
Perplexity AI
Free + subscription
Free
Midjourney
Subscription
$10/month
Gemini
Subscription
Free
DALL·E 3
Pay-per-image + subscription
$0.04 to $0.12/image
GitHub Copilot
Free + subscription
Free
Jasper AI
Subscription
$59/month
Stability AI
Free + self-hosted options
Free
Adobe Firefly
Subscription
$9.99/month
By now, the pricing, features, and plans of generative AI tools are clear, but there are some open-source options you should know about. Open-source generative AI tools offer free access and flexibility, enabling teams to customize and integrate AI models into their workflows without subscription costs.
Examples include Mistral AI and Stability AI, which let users modify models to suit specific needs. These tools support tasks like text, image, and video generation while giving complete control over deployment and usage, making them ideal for teams looking to experiment and innovate without platform restrictions.
While using generative AI tools, you must be mindful of their ethical implications and practical limitations. These tools can enhance productivity, but without responsible use, they may lead to issues related to bias, misinformation, or privacy. Here are some key aspects to keep in mind:
Most of the time, generative AI models are trained on large datasets that may contain confidential or private data. To ensure proper use and prevent unauthorized access, users must obtain data ethically and store it securely. Always verify the tool's privacy policy before integrating it into your work processes.
It is possible for AI models to unintentionally mirror the biases in their training data. This may lead to outputs that are biased or even discriminatory. Regular testing and refinement of models are necessary to ensure they produce fair and unbiased results.
AI's ability to create works similar to those already in existence raises issues of property rights and originality. It is of utmost importance that companies, particularly those that deal in copyrighted works, establish clear rules for the use of AI-generated materials.
Generative AI tools are not always accurate. They might produce content that sounds confident but contains factual errors or misleading information. Human oversight is essential for reviewing and validating outputs before publishing or sharing them.
Relying too heavily on AI for creative or strategic decisions can limit human insight and originality. The best results come from using AI as a supportive tool rather than a replacement for human judgment and creativity.
Keeping the ethical considerations and limitations in mind, you can start using generative AI tools in your workflow without compromising quality or creativity. Here’s how you can do it step by step.
Look at your workflow and decide where AI can actually make a difference. Maybe it’s brainstorming ideas, generating images, editing videos, or even automating code. Using AI in the right place makes your work easier, not more complicated.
Make sure everyone who will use the tools knows how they work and why ethical use matters. A little training on privacy, bias, and best practices goes a long way toward better results and fewer mistakes.
Select AI tools that are compatible with the platforms you frequently use to stay organized, e.g., Google Workspace, Figma, or Slack. The better the integration, the more seamlessly AI can be incorporated into your daily workflow.
Even the best AI isn’t perfect. Continually review and approve outputs to check for accuracy, fairness, and brand consistency. Think of AI as your helper, not the final decision-maker.
Be alert to the effects of AI on your workflow. Involve your team in giving feedback, identify what works and what doesn’t, and adjust your approach accordingly. This allows you to draw the maximum value from AI without experiencing difficulties.
Never attempt to make all the changes immediately. Use AI tools for only one project or team during your testing phase first. Once it is running smoothly, you can move forward slowly. Overall, this approach will keep the process manageable and prevent unexpected events.
Top free tools include ChatGPT, DALL·E 3, Runway ML, and Mistral AI, helping create text, images, and videos easily.
GPT-4 handles complex tasks, ChatGPT is great for general text, and Gemini supports text, images, and integration with Google apps.
Give clear prompts, review outputs, refine style, and combine results to create articles, social posts, or marketing materials effectively.
Ensure privacy, prevent bias, respect copyright, and use AI responsibly to generate safe and fair content for work or projects.
AI can make mistakes, misunderstand context, or produce biased content; human review is needed for accurate, high-quality results.
They reduce repetitive work, improve efficiency, create AI-focused jobs, and let humans focus on strategy, creativity, and decision-making.
Runway ML, Pika Labs, Lumen5, and Veed.io help make professional-quality videos quickly for marketing, social media, or educational content.
Define your goals, compare features, check integration with existing tools, team support, and pricing to select the right AI tool.
Examples of the newest generative AI tools include Pika Labs, Recraft AI, and Mistral AI for quick videos, branded visuals, and easy workflows.
Yes, Mistral AI and Stability AI offer free, customizable AI models for text, image, and video generation, with no subscription costs.
Nikita Duggal is a passionate digital marketer with a major in English language and literature, a word connoisseur who loves writing about raging technologies, digital marketing, and career conundrums.
Applied Generative AI Specialization
Generative AI Applications for Leaders
Applied Agentic AI: Systems, Design & Impact
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