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# Introduction
I’ve been immersed in synthetic intelligence (AI) instruments, not simply writing about them however utilizing them daily in my work as a knowledge scientist. They’ve utterly modified how I get issues accomplished, serving to me write cleaner code, enhance my writing, pace up knowledge evaluation, and ship tasks a lot sooner.
On this article, I share the seven AI instruments which have grow to be everlasting components of my workflow. No replacements, no substitutes — simply the necessities that energy every little thing from machine studying tasks to content material automation.
# 1. Grammarly AI
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Grammarly is a device I’ve been utilizing for nearly a decade. It began as a easy grammar and spell-check assistant for my assignments and thesis, but it surely has developed right into a full AI-powered writing companion.
Now, I can spotlight any textual content and ask Grammarly to enhance it, rewrite it, modify the tone, or make it clearer, and it constantly delivers high-quality outcomes.
After working my content material via Grammarly, every little thing 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 actually, even with the latest 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 among the greatest options; it explores topics totally and offers detailed experiences that I haven’t seen from ChatGPT or another AI assistant.
One of many largest benefits of You.com is entry to high fashions from Anthropic, OpenAI, Google, and a spread of open-source fashions, multi function place. You’ll be able to take a look at them, evaluate them, and even combine them into your workflow. On high of that, You.com affords a free Mannequin Context Protocol (MCP) server, which makes it extremely simple to attach your native AI instruments and pull net leads to milliseconds.
For research-heavy work or exploring new concepts, You.com is definitely one in all 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.
In the present day, 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, net growth, API constructing, knowledge evaluation, and even assembling full tasks from scratch. Options like inline AI solutions, multi-file reasoning, on the spot 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 device for quick prototyping and testing code. I’ve been utilizing it for 5 years, and it has grown into a completely succesful knowledge science platform. It’s a cloud-based pocket book powered by AI, which implies you may merely ask it to research your knowledge 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 decreased my time to construct and take a look at concepts.
I’ve grow to be so used to the Deepnote workflow that I hardly ever contact native notebooks anymore. Every part stays on-line, organized, and synced. For the type 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 effectively on a few of my early knowledge science checks. However every little thing modified once I found I may combine the GLM Coding Plan with it. Since then, I’ve been utilizing Claude Code each single day for each private tasks 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 complicated duties routinely 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 every little thing — coding, analysis, debugging points, troubleshooting my system, writing, and streamlining my workflow.
Each time I’m caught on a posh drawback, 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 provides 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 swap effortlessly between duties.
Whether or not I’m producing code, reviewing notebooks, drafting content material, or analyzing knowledge, it’s the closest factor to having a full-time AI associate 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 absolutely open-source and allows you to run giant language fashions regionally on common client {hardware}, even with out a GPU. It’s light-weight, quick, and extremely environment friendly, delivering true bare-metal efficiency. Just lately, the builders even added a clear UI, which makes it really feel virtually like an area substitute for ChatGPT.
I exploit llama.cpp for offline tasks and any work that includes delicate code or non-public knowledge. It integrates simply with native coding brokers, chatbots, and customized instruments, and the setup has grow to be so easy that even Home windows customers can set up it with out trouble. Each time I need to take a look at new open-source fashions, I run them straight on my laptop computer via llama.cpp and share my expertise. I additionally use it for code technology, writing, and fast question-answering.
It’s not at ChatGPT’s stage, however for those who care about privateness, safety, and experimenting with new fashions at no cost, llama.cpp is the device you need in your stack.
# Remaining Ideas
My core instruments keep the identical: Grammarly, You.com, Cursor, and ChatGPT. The remainder 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 complicated textual content, evaluate my writing, and even deal with analysis that will usually take me hours to get via. Discovering Grammarly, ChatGPT, and Cursor turned what felt like a problem into one in all my strengths.
I don’t imagine AI is right here to switch 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, be taught, and create. When used effectively, it doesn’t take away your capabilities; it amplifies them.
Abid Ali Awan (@1abidaliawan) is an authorized knowledge scientist skilled who loves constructing machine studying fashions. At present, he’s specializing in content material creation and writing technical blogs on machine studying and knowledge 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 scuffling with psychological sickness.
