Generative AI Tools: ChatGPT, GPT, Siri, Grammarly Explained

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 refers to AI systems that can create brand-new content, such as text, images, music, or code, rather than just analyzing or retrieving information. These tools use advanced models—like transformers and deep neural networks—to learn patterns and generate contextually accurate results based on user prompts.

Unlike traditional AI, which might sort emails or recommend products, generative AI tools produce something that didn’t previously exist. That could mean a personalized poem, an original image, or even a legal document draft.

ChatGPT: A Leading Generative AI Tool

ChatGPT, developed by OpenAI, is one of the most widely used and accessible examples of generative AI. It runs on powerful models like GPT-3.5 and GPT-4, depending on the version you’re using.

What Makes It Generative?

• Creates New Text: ChatGPT doesn't pull answers from a database. It generates unique content in real time.
• Understands Context: Conversations feel human-like because it remembers context and adjusts responses accordingly.
• Versatile Applications: From drafting resumes to brainstorming startup ideas, ChatGPT adapts to countless use cases.

Whether you're in education, marketing, programming, or customer support, ChatGPT is a flexible productivity enhancer with real generative power.

GPT: The Backbone of Generative AI

GPT (Generative Pre-trained Transformer) refers to the family of large language models powering tools like ChatGPT and other custom AI solutions. These models are trained on massive text datasets from across the internet, learning how to predict and generate natural language.

Why GPT Matters

• Scalable Technology: Companies build custom applications on top of GPT via API.
• Custom Fine-Tuning: GPT models can be adapted for specific industries or tasks—law, healthcare, finance, etc.
• Cross-Tool Usage: Beyond ChatGPT, GPT powers platforms like Jasper, Copilot, and various enterprise chatbots.

When considering any text-generation platform, it's the GPT architecture that determines how strong, accurate, and creative it can be.

Grammarly: Smarter Writing, But Not Fully Generative

Grammarly has become a staple tool for writers, professionals, and students. It reviews grammar, spelling, tone, and clarity in real time. But is it a generative AI tool?

Where Grammarly Fits

• Correction Over Creation: Grammarly improves existing text rather than creating new text from scratch.
• Rephrasing Capabilities: Offers alternative phrasings or suggestions, using AI-driven feedback.
• Limited Creativity: While smart and helpful, Grammarly doesn’t originate full paragraphs or ideas like ChatGPT.

In short, Grammarly is an AI-powered assistant, but not a core generative AI tool—though it does borrow some generative techniques for refining text.

Siri: Intelligent Assistant with Limited Generative Abilities

Siri, Apple’s voice assistant, is a classic example of natural language processing combined with machine learning. But does it qualify as generative AI?

What Siri Does

• Executes Tasks: Plays music, sets reminders, sends texts, answers basic questions.
• Scripted Responses: Siri responds based on pre-programmed commands or knowledge retrieval.
• Not Built to Generate Content: You won't find Siri writing blog posts or summarizing long emails.

While Siri includes conversational elements, it lacks the creative and spontaneous content-generation capacity seen in tools like ChatGPT or GPT-based systems.

The Gen AI Tools List: Today’s Most Notable Platforms

Here’s a snapshot of top generative AI tools being widely used across industries today. These tools support everything from creative content generation to data-driven personalization.

How to Tell if a Tool Is Truly Generative AI?

Use the following checklist to spot authentic generative AI tools:

• ✅ Creates Original Output: From text to images to code—gen AI always starts with a blank canvas.
   
• ✅ Predicts Based on Data: Learns from massive datasets to simulate human creativity.
   
• ✅ Adapts in Real Time: Responds dynamically to prompts and context.
   
• ✅ Doesn’t Rely on Scripts: Unlike rule-based bots, gen AI generates flexible, varied results.

If a tool merely automates a task or repeats set responses, it likely falls outside the generative category.

Wrap Up

Generative AI tools are evolving fast, offering practical solutions across industries. From ChatGPT’s dynamic text generation to GPT’s integration potential, these technologies are helping individuals and businesses scale creativity, efficiency, and communication.

Using the power of Gen AI, we at Glance are also evolving to enhance your experience with shopping, news updates, weather forecasts, and more. So, you experience Gen AI in your daily life. 

FAQs

1. What are generative AI tools?
Generative AI tools are software powered by machine learning models that create original content—like text, images, code, or music—based on user input or prompts.

2. What is an example of a generative AI?
ChatGPT is a prime example of generative AI, capable of producing human-like text responses, creative writing, summaries, and more based on prompts.

3. What are the different types of generative AI?
Generative AI includes tools for text (ChatGPT), images (Midjourney, DALL·E), code (GitHub Copilot), video (Runway), and music (AIVA, Soundraw), each specialized for content creation.

4. What is the difference between AI and generative AI?
Traditional AI analyzes or automates tasks based on rules or data. Generative AI goes further by creating new, original content like text, images, or code from learned patterns.