Generative AI tools are transforming how we interact with technology—from writing content and coding software to organizing our calendars and editing emails. As artificial intelligence becomes embedded in everyday workflows, many people are asking: Which tools are actually generative AI? Is ChatGPT part of it? What about tools like Siri or Grammarly?
This guide will break down key technologies—ChatGPT, GPT, Siri, and Grammarly—and provide a comprehensive gen AI tools list so you can understand which tools create original content, and which simply assist or automate.
What Are Generative AI Tools?
Generative AI tools are a new class of software that go beyond analyzing data—they create content. Whether it's text, images, code, or music, these tools generate original output based on user prompts. Unlike traditional AI, which automates tasks like sorting emails or scheduling meetings, generative AI tools start from scratch and build something entirely new.
ChatGPT: The Face of Generative AI
One of the most popular generative AI tools today is ChatGPT, developed by OpenAI. It’s powered by large language models like GPT-3.5 and GPT-4 and excels at producing high-quality text on demand.
Why ChatGPT Is Generative
- Creates unique text: Every answer is built in real time—not pulled from a database.
- Understands context: Keeps track of conversations and responds accordingly.
- Flexible uses: Helpful in education, content marketing, customer support, and more.
Whether you're drafting blog posts, brainstorming ideas, or answering emails, ChatGPT is among the most versatile generative AI tools available.
GPT Models: The Technology Behind the Tools
GPT (Generative Pre-trained Transformer) is the engine behind many generative AI tools. These models are trained on massive datasets to predict and generate human-like language.
Why GPT Models Matter
- Scalable: Companies build apps and chatbots using GPT via APIs.
- Customizable: GPT can be fine-tuned for healthcare, legal, and other specific industries.
- Cross-platform: Powers tools like Jasper.ai, Copilot, and more.
If you’re using any text-generation software, chances are it’s based on GPT or similar generative AI tools.
Grammarly: Helpful, But Not Fully Generative
Grammarly is great for writing assistance, but it doesn’t quite make the list of full-fledged generative AI tools.
Where Grammarly Fits In
- Improves existing text: Fixes grammar and clarity but doesn’t generate new content.
- Rephrasing: Offers smart suggestions, not original creation.
- Limited creativity: Doesn’t generate paragraphs or articles like ChatGPT does.
Grammarly is AI-powered, but its main function is enhancement—not content generation.
Siri: Voice Assistant with Limited Generative Capabilities
Siri helps users complete tasks via voice commands, but it doesn’t qualify as one of the core generative AI tools.
Siri’s Capabilities
- Executes tasks: Plays music, sends texts, sets reminders.
- Scripted replies: Responses are pre-defined and not dynamically generated.
- No content creation: Can’t draft blog posts or summaries.
While Siri uses AI, it doesn’t produce new content and therefore isn't a true generative tool.
Top Generative AI Tools You Should Know
Here’s a quick snapshot of the most prominent generative AI tools used across industries:
Tool | Is It Generative AI? | Highlights |
ChatGPT | ✅ Yes | Conversational and adaptable text generation |
GPT (Models) | ✅ Yes | Foundation for many generative platforms |
Jasper.ai | ✅ Yes | Marketing content and templates |
Grammarly | ⚠️ Partially | Text refinement, not creation |
Siri | ⚠️ Partially | Executes commands, limited generation |
Gemini | ✅ Yes | Google’s language model for search |
Microsoft Copilot | ✅ Yes | AI in Office apps for writing, coding |
Midjourney | ✅ Yes | Text-to-image visual generation |
Adobe Firefly | ✅ Yes | Design-focused content creation |
Notion AI | ✅ Yes | Productivity assistant with drafting power |
All of these generative AI tools are helping reshape the way we work, create, and communicate.
How to Spot True Generative AI Tools
Use this checklist to identify authentic generative AI tools:
- ✅ Creates original content—text, images, or code.
- ✅ Learns from large datasets to simulate creativity.
- ✅ Responds to user prompts in real time.
- ✅ Not rule-based—delivers dynamic, unique output.
If a tool simply automates or retrieves, it may not fall under the true definition of generative AI tools.
Final Thoughts
From ChatGPT to GPT and Midjourney to Microsoft Copilot, generative AI toolsare transforming how we write, design, code, and collaborate. They’re more than a trend—they’re the future of human-AI interaction.
At Glance, we’re also leveraging generative AI tools to bring smarter shopping, faster news, and real-time weather directly to your screen. The AI revolution is already part of your daily life—whether you know it or not.
FAQs
1. What are generative AI tools?
They are AI-powered platforms that generate original content—text, code, images, or music—based on prompts.
2. What is an example of generative AI?
ChatGPT is a leading example of generative AI, known for human-like, real-time text generation.
3. What are different types of generative AI?
There are tools for text (ChatGPT), image (DALL·E, Midjourney), video (Runway), music (Soundraw), and code (GitHub Copilot).
4. What’s the difference between AI and generative AI?
Traditional AI automates or analyzes. Generative AI tools create new content from learned patterns.