- Published on
The Ultimate AI Toolkit: Essential Tools & Techniques for 2025
- Authors
- Name
- Abhishek Sisodia
- @abhirb
Introduction
Building on my last post, Mastering AI in 2025, where I shared strategies for adopting AI effectively, this guide helps you build a practical AI toolkit. We'll cover essential tools, techniques, and use cases to maximize AI's potential.
Stay until the end for exclusive bonus tools and a free AI action plan sheet to level up your workflow!
- Why you need an AI toolkit
- Step 1: Master the Art of Prompting
- Step 2: Essential AI Tools for Productivity & Creativity
- Step 3: Real-World AI Use Cases
- Avoiding AI Mistakes: What NOT to Do
- Unlock Exclusive AI Resources for Career Growth & Automation
- Join My AI Journey
Why you need an AI toolkit
The AI landscape is evolving faster than ever. In just six months, major advancements like Claude 3.5 Sonnet's improved reasoning, Perplexity's Deep Research, and NotebookLM's enhanced document analysis have transformed how we work.
But with hundreds of AI tools out there, where do you even begin?
Instead of getting overwhelmed, focus on a minimum viable AI toolkit—a curated set of tools that genuinely boost productivity, creativity, and efficiency. Let's explore my go-to AI tools and how you can start using them today.
Step 1: Master the Art of Prompting
AI is only as smart as your prompts. Learning to write clear, structured prompts will drastically improve the quality of AI-generated responses. Crafting effective prompts is key to getting the best responses from AI tools. Here's a simple framework for structuring your prompts:

The "SMART" Prompting Formula
- Specific - Give clear instructions.
- Meaningful - Provide relevant context.
- Actionable - Direct the AI with a specific request.
- Refinable - Be ready to iterate and improve.
- Targeted - Tailor prompts based on the AI tool.
Basic vs. Optimized Prompts
- 🚫 Basic: "Write a blog about AI."
- ✅ Optimized: "Write a beginner-friendly blog (800 words) explaining how AI enhances productivity. Use a casual, engaging tone and include real-world examples."
Prompting Techniques to Unlock AI's Full Potential
- 💡 Role-Based Prompting - "Act as a marketing expert and suggest 5 ways AI can improve email campaigns."
- 📌 Step-by-Step Breakdown - "Explain how to use AI for content creation. Break it into 5 steps with examples."
- ⚡ Comparison Prompts - "Compare ChatGPT and Claude 3.5 for business productivity. Give pros and cons."
- 🎭 Personality Training - "Write in the style of a friendly, helpful mentor guiding a beginner through AI basics."
🚀 Pro Tip: Always refine AI responses by asking follow-ups like "Expand on point #3" or "Make this sound more conversational."
Step 2: Essential AI Tools for Productivity & Creativity
1. ChatGPT 4o (by OpenAI)
Use case: Writing, brainstorming, answering questions, and automating repetitive tasks.
- Tip: Use ChatGPT Pro for unlimited queries and enhanced features.
- Trick: Use Custom GPTs to fine-tune AI responses to your style.
- Paid vs. Free: The paid version significantly outperforms the free tier. Investing in ChatGPT Plus unlocks better responses and features like CustomGPTs.
2. Claude 3.5 Sonnet (by Anthropic)
Use case: Summarization, deep reasoning, and technical tasks.
- Tip: Claude's "Projects" feature helps structure AI-assisted writing.
- Trick: Upload documents for AI-generated insights.
- Comparison: Claude handles technical tasks well but has frequent downtime in the free version. The Pro version is much more reliable.

3. Google Gemini & NotebookLM
Visit Google Gemini
Visit NotebookLM
Use case: Research, document analysis, and multimodal capabilities (text, images, and voice input).
- Tip: Use NotebookLM for handling large document sets and generating insights.
- Trick: Gemini AI Studio offers free access to powerful AI models.
- Google Workspace Integration: Gemini seamlessly integrates with Gmail, Docs, and Sheets for AI-powered assistance without switching apps.
4. Perplexity AI
Use case: Fact-based research, troubleshooting, and technical inquiries.
- Tip: Perplexity provides step-by-step instructions without hallucinations.
- Trick: Use it as a better alternative to AI-powered search engines for factual accuracy.
- Best for: Finding clear, reliable answers quickly.
- New Feature: Deep Research: Deep Research allows you to generate in-depth research reports on any topic, making Perplexity 100x more useful for research. This feature is available for free with up to 5 queries per day for non-subscribers and 500 queries per day for Pro users.
AI for Visual & Content Creation
5. ImageFX
Use case: Excel in AI Image Generation.
- Tip: Use descriptive prompts for better AI-generated images.
- Trick: Experiment with styles and modifiers for unique results.
- Best for: ImageFX provides beginner-friendly dropdowns and suggestions.
AI Tools for Developers & Programming
6. Copilot Edits & Cursor
Visit GitHub Copilot
Visit Cursor
Use case: AI-assisted coding with multi-file editing and enterprise context integration.
- Tip: Leverage Copilot's custom instructions to match your company's coding style.
- Trick: Use the “test generation” technique: Ask Copilot to create unit tests before writing code. This clarifies requirements and catches edge cases early. For example, prompt: “Generate pytest cases for a Python function that calculates Fibonacci sequences.” The AI will outline test scenarios, which you can refine iteratively
- Feature: Copilot can now process multiple files at once, making large-scale edits seamless.

7. DeepSeek R1
Use case: A powerful free alternative to OpenAI's o1/o3 models, great for reasoning tasks.
- Tip: If you don't want to pay for premium AI tools, DeepSeek R1 is an excellent choice.
- Trick: While it matches OpenAI's o1 model in reasoning, OpenAI's latest o3 model surpasses it in capability.
- Cost effective: Startups can use DeepSeek to draft API documentation or troubleshoot cloud deployment errors. Its open-source nature allows customization—fine-tune the model on your codebase for domain-specific solutions.
Step 3: Real-World AI Use Cases

AI for Productivity & Business
- 📝 Writing & Editing: Generate blog posts, reports, and emails in seconds.
- 🧠 Idea Generation: Use AI to brainstorm content and marketing ideas.
- 📊 Market Research: Analyze trends, competitors, and customer insights with AI.
AI for Learning & Personal Growth
- 📚 Summarizing Books & Articles: Get 2-minute summaries of 300-page books.
- 🎤 Language Learning: Practice speaking new languages with AI chatbots.
- 💼 Career Growth: AI can help craft resumes and prep for job interviews.
AI for Side Hustles & Passive Income
- 💰 Create Digital Products: AI can help write e-books, courses, or templates to sell online.
- 🎨 Generate AI Art & Designs: Use AI for logos, social media graphics, and marketing materials.
- 🎙 Start a Podcast or YouTube Channel: AI can generate scripts, edit videos, and even mimic voices.
🚀 Pro Tip: AI can be your assistant in building a business, brand, or creative project. The key is knowing how to use it effectively.
Example Use Cases
For Writing
- Tone Matching: Upload three samples of your writing and prompt: “Analyze these passages and generate a style guide.” Use the guide to ensure AI-generated content mirrors your voice.
- Content Expansion: Use Claude 3.5 to transform bullet points into narratives. Input: “Expand these key points about zero-party data into a 500-word blog section.”
For Programming
- Context Management: Provide GitHub repositories or architecture diagrams when prompting tools like Copilot. This grounds the AI in your tech stack, reducing generic suggestions.
- Test Generation: Ask AI to generate unit tests to improve software quality.
- Copy/Paste Compiler Errors: Let AI troubleshoot errors and suggest fixes.
Other use cases
- Financial Double-Checks:: Ask Perplexity to analyze loan agreements or investment prospectuses. It will flag unusual clauses or calculate effective interest rates.
- Medical Second Opinions: While not a substitute for doctors, Claude 3.5 can summarize medical research papers in layman's terms, helping patients ask informed questions during consultations.
Avoiding AI Mistakes: What NOT to Do
- 🔴 Don't Rely 100% on AI - AI makes mistakes! Always fact-check and refine outputs.
- 🔴 Avoid Generic Prompts - The more specific you are, the better results you'll get.
- 🔴 Don't Skip Experimentation - AI is a tool. The more you play around with it, the better you'll understand its power.
🚀 Pro Tip: If AI gives you a bad result, rephrase your prompt, add more details, or try another tool.
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