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🚀 Best AI Tools in 2025 (With Example Prompts)

Artificial Intelligence is no longer just hype—it’s now part of everyday work for developers, creators, and businesses. From writing code to creating art to researching faster, the right AI tool can save hours and boost productivity.

But with so many AI platforms out there, which ones should you actually use?
Here’s a my hand-picked list of the best AI tools in 2025—along with their specific use cases and a sample prompt for each.

🧠 1. ChatGPT 5 – The All-Rounder

Best For: Writing, coding, brainstorming, learning new concepts.
ChatGPT 5 is the most advanced version of OpenAI’s chatbot, known for its human-like conversation, coding help, and deep reasoning.

💡 Example Prompt:

“Explain the difference between Kafka and RabbitMQ in simple terms, and give me a real-world example of when to use each.”

✍️ 2. Claude Sonnet 4 – Real-Time Coding in IntelliJ

Best For:

  • Writing boilerplate code

  • Autocompleting methods

  • Generating test cases directly in the IDE

Once you have a plan (thanks to Claude), you can switch to IntelliJ IDEA where GitHub Copilot works as your AI pair programmer.

💡 Example in IntelliJ:

// Write a Spring Boot REST endpoint for user login

👉 Copilot will instantly suggest the full controller method with annotations like @PostMapping, request body mapping, and a response object.

💻 3. Replit – AI for Coding & Deployment

Best For: Developers who want to code, test, and deploy apps in one place.
Replit’s Ghostwriter AI suggests, autocompletes, and explains code while you build.

💡 Example Prompt:

“Generate a simple Python Flask app that has a single endpoint /hello returning JSON: {message: 'Hello AI World'}.”

🔬 4. Google AI Studio – Model Customization

Best For: Fine-tuning and deploying custom AI models.
Google AI Studio allows developers to experiment with Gemini models and tailor them for business use.

💡 Example Prompt:

“Train a custom model that classifies customer support tickets into categories: Billing, Technical Issue, Account Setup.”

🌐 5. Gemini (Veo & Nano Banana) – Multimodal Creativity

Best For: Video, images, and multimodal tasks.
Gemini’s sub-models (like Veo for video and Nano Banana for Images edits) unlock creative and real-time applications.

💡 Example Prompt:

“Create a 15-second video showing a futuristic city at night with neon lights and flying cars.” 

👨‍💻 6. GitHub Copilot – AI Pair Programmer

Best For: Coding with real-time AI suggestions.
Powered by OpenAI Codex, GitHub Copilot sits inside your IDE and writes boilerplate code, suggests fixes, and speeds up development.

💡 Example Prompt: (in VS Code)

Comment in code: // Write a function that validates an email address in Java

🔎 7. Perplexity – AI Search Engine

Best For: Research and fact-checking.
Unlike ChatGPT, Perplexity connects to the web and provides real-time, cited answers, making it great for market research, trends, and news.

💡 Example Prompt:

“What are the latest salary trends for software engineers in India (2025) with sources?”

🎨 8. MidJourney – AI Image Generation

Best For: Art, graphics, and design inspiration.
MidJourney specializes in high-quality AI art—from realistic photography to digital painting styles.

💡 Example Prompt:

“Generate a fantasy landscape of a floating island with waterfalls, glowing trees, and a sunset sky.”

✨ Final Thoughts

Each of these tools shines in a specific domain:

  • ChatGPT 5 & Claude Sonnet 4 → Text, research, analysis

  • Replit & GitHub Copilot → Coding & development

  • Google AI Studio & Gemini → Model building & creative generation

  • Perplexity → Search & research

  • MidJourney → Visual creativity

👉 The real power comes when you combine them. For example, you could research with Perplexity, draft with ChatGPT, code with Copilot, and visualize with MidJourney—a complete AI-powered workflow.

🚀 The future of work is AI + Human collaboration. Start experimenting today, and find the mix that works best for your goals!

Comment down you favourite ones and your recent work 👇

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