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# Introduction
I’ve been immersed in synthetic intelligence (AI) instruments, not simply writing about them however utilizing them day by day in my work as an information scientist. They’ve utterly modified how I get issues carried out, serving to me write cleaner code, enhance my writing, velocity up information evaluation, and ship initiatives a lot sooner.
On this article, I share the seven AI instruments which have turn out to be everlasting elements of my workflow. No replacements, no substitutes — simply the necessities that energy all the pieces from machine studying initiatives to content material automation.
# 1. Grammarly AI
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Grammarly is a software I’ve been utilizing for nearly a decade. It began as a easy grammar and spell-check assistant for my assignments and thesis, nevertheless it has advanced right into a full AI-powered writing companion.
Now, I can spotlight any textual content and ask Grammarly to enhance it, rewrite it, alter the tone, or make it clearer, and it constantly delivers high-quality outcomes.
After operating my content material by means of Grammarly, all the pieces feels sharper, extra polished, and able to publish. I exploit it for my LinkedIn posts, articles, tutorials, challenge documentation, and emails. It’s one of many few instruments I really can’t reside with out.
# 2. You.com
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I’ve been utilizing You.com for 2 years, and truthfully, even with the current subscription worth improve, it’s nonetheless price each penny.
I depend on it for analysis, planning, and studying new matters. Its deep-research mode is likely one of the finest options; it explores topics totally and provides detailed experiences that I haven’t seen from ChatGPT or every other AI assistant.
One of many largest benefits of You.com is entry to prime fashions from Anthropic, OpenAI, Google, and a spread of open-source fashions, multi functional place. You possibly can take a look at them, evaluate them, and even combine them into your workflow. On prime of that, You.com presents a free Mannequin Context Protocol (MCP) server, which makes it extremely straightforward to attach your native AI instruments and pull internet ends in milliseconds.
For research-heavy work or exploring new concepts, You.com is definitely considered one of my most dependable instruments.
# 3. Cursor
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I’ve been a fan of Cursor lengthy earlier than it turned common. It’s light-weight, intuitive, and one of many first editors to supply native help for agentic AI workflows.
As we speak, I exploit Cursor with Claude Code and several other key extensions to check, debug, and ship code a lot sooner, and I’m loving each little bit of it.
I exploit Cursor for machine studying mannequin coaching, internet growth, API constructing, information evaluation, and even assembling full initiatives from scratch. Options like inline AI ideas, multi-file reasoning, immediate refactoring, and context-aware planning make it really feel like a real AI pair-programmer.
# 4. Deepnote
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Deepnote is my go-to software for quick prototyping and testing code. I’ve been utilizing it for 5 years, and it has grown into a totally succesful information science platform. It’s a cloud-based pocket book powered by AI, which implies you’ll be able to merely ask it to investigate your information and it’ll generate code step-by-step, run it, repair errors, and produce a clear, structured pocket book report for you.
It comes with good autocomplete, debugging help, and quick atmosphere loading, which makes experimentation easy. I exploit it for my tutorials, demos, and fast experiments, and it has drastically lowered my time to construct and take a look at concepts.
I’ve turn out to be so used to the Deepnote workflow that I not often contact native notebooks anymore. All the pieces stays on-line, organized, and synced. For the sort of work I do, nothing beats it.
# 5. Claude Code
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Truthfully, I used to be skeptical about Claude Code at first. It felt too costly, and it didn’t carry out properly on a few of my early information science checks. However all the pieces modified once I found I might combine the GLM Coding Plan with it. Since then, I’ve been utilizing Claude Code each single day for each private initiatives and work.
Utilizing it feels seamless. I’ve tried Open Code, Gemini, Codex, and even Droid, however I maintain coming again to Claude Code.
Its simplicity, the best way it follows directions, and its potential to deal with advanced duties robotically make it extremely dependable. For quick growth, clear reasoning, and dealing with multi-step coding workflows, nothing else comes shut.
# 6. ChatGPT
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The place do I even begin with ChatGPT? It has been a part of my each day life for the reason that day it launched. I exploit it for all the pieces — coding, analysis, debugging points, troubleshooting my system, writing, and streamlining my workflow.
At any time when I’m caught on a fancy downside, ChatGPT is the primary place I flip for a quick, dependable reply. I ask it private questions, work-related questions, and something in between, and it constantly offers helpful, context-aware responses because of its potential to recollect previous conversations.
What makes ChatGPT so highly effective for me is the mixture of conversational reminiscence, versatile inputs, and customized directions. It adapts to how I work, understands my patterns, and may change effortlessly between duties.
Whether or not I’m producing code, reviewing notebooks, drafting content material, or analyzing information, it’s the closest factor to having a full-time AI companion sitting subsequent to me for my workflow.
# 7. llama.cpp
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llama.cpp is the spine of the native AI ecosystem. It’s totally open-source and allows you to run massive language fashions domestically on common shopper {hardware}, even with no GPU. It’s light-weight, quick, and extremely environment friendly, delivering true bare-metal efficiency. Not too long ago, the builders even added a clear UI, which makes it really feel virtually like a neighborhood alternative for ChatGPT.
I exploit llama.cpp for offline initiatives and any work that includes delicate code or personal information. It integrates simply with native coding brokers, chatbots, and customized instruments, and the setup has turn out to be so easy that even Home windows customers can set up it with out trouble. At any time when I wish to take a look at new open-source fashions, I run them immediately on my laptop computer by means of llama.cpp and share my expertise. I additionally use it for code technology, writing, and fast question-answering.
It isn’t at ChatGPT’s degree, however when you care about privateness, safety, and experimenting with new fashions without spending a dime, llama.cpp is the software you need in your stack.
# Last Ideas
My core instruments keep the identical: Grammarly, You.com, Cursor, and ChatGPT. The remaining change relying on my workflow or when higher alternate options present up.
As somebody with dyslexia, having AI help at my fingertips has been an actual benefit. These instruments assist me perceive advanced textual content, assessment my writing, and even deal with analysis that may usually take me hours to get by means of. Discovering Grammarly, ChatGPT, and Cursor turned what felt like a problem into considered one of my strengths.
I don’t consider AI is right here to interchange us. It’s right here to help us and form a brand new technology of workflows the place AI turns into a pure a part of how we construct, write, study, and create. When used properly, it doesn’t take away your capabilities; it amplifies them.
Abid Ali Awan (@1abidaliawan) is a licensed information scientist skilled who loves constructing machine studying fashions. At the moment, he’s specializing in content material creation and writing technical blogs on machine studying and information science applied sciences. Abid holds a Grasp’s diploma in know-how administration and a bachelor’s diploma in telecommunication engineering. His imaginative and prescient is to construct an AI product utilizing a graph neural community for college students battling psychological sickness.
