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RIZWANA KHAN's avatar
RIZWANA KHAN
New Delhi, India
Technical Content Writer | AI, IT, EdTech & SaaS
New to Contra
Technical Content Writer | AI, IT, EdTech & SaaS
Cover image for So I wrote a deep newsletter on: “Why Most AI Content Sounds...
So I wrote a deep newsletter on: “Why Most AI Content Sounds the Same (And How to Break It)” Inside this, I did not give surface-level advice like: “Use better prompts” or “humanize your content.” I addressed the actual problems creators keep searching for daily: • Why AI writing feels emotionally empty • Why LinkedIn posts now sound identical • Why audiences instantly detect robotic writing • Why “viral formatting” is slowly damaging originality • Why creators lose personality after using AI too much • Why over-polished content creates emotional distance • Why fake storytelling no longer builds trust • Why audiences are getting tired of motivational writing patterns I also openly broke down repetitive patterns AI tools repeatedly generate, including: • Fake depth through contrast writing • Predictable motivational endings • Dramatic one-line paragraph addiction • Generic emotional vocabulary • Overexplaining simple ideas • “Smart sounding” intellectual tone • Recycled thought leadership structures And more importantly, I explained how strong writers and content strategists can actually fix these problems without sounding robotic or overly optimized. This was not written as another “AI vs humans” debate. It was written for creators, strategists, freelancers, and writers who want their content to feel psychologically real again. Because honestly, the internet does not have a content shortage anymore. It has a perspective shortage. Newsletter link (https://www.linkedin.com/pulse/why-ai-content-keeps-repeating-itself-rizwana-khan-bgm4c/) #ContentWriting #LinkedInTips #AIContent #ChatGPT #PersonalBranding #ContentStrategy #Copywriting #LinkedInCreators #SEOContent #WritingTips #DigitalMarketing #ContentMarketing #BrandBuilding #Newsletter #Freelancing
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Cover image for In this newsletter: I Was
In this newsletter: I Was Using ChatGPT All Wrong… Until I Fixed This, (https://www.linkedin.com/pulse/i-using-chatgpt-all-wrong-until-fixed-rizwana-khan-rps8c/?trackingId=W2qad%2FbbNqLyYzRxhSQzlw%3D%3D) I share what changed and the system I now follow to fix it. You will learn: How I set my audience before writing How I build a clear outline first How I use AI for support, not full writing How I rewrite to keep my own voice How I add experience and data to improve content This is not about avoiding AI or depending on it fully. It is about staying in control while using it wisely. If you write with ChatGPT, this will help you keep your thinking and originality intact.
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Cover image for You Don’t Need Better ChatGPT
You Don’t Need Better ChatGPT Prompts. You Need Better Thinking. I kept improving my ChatGPT prompts. The output got better… but still felt generic. That’s when it clicked: It wasn’t a prompt engineering problem. It was a thinking clarity problem. In this newsletter, I break down 10 practical ChatGPT strategies (https://www.linkedin.com/pulse/why-your-chatgpt-prompts-dont-work-how-improve-ai-writing-khan-xjvbc/?trackingId=nDdHRTwDaQuSBA7JwdtM9g%3D%3D)that actually improved my AI writing and content creation: – how to think clearly before prompting – how to turn vague ideas into strong directions – how to guide AI instead of accepting the first draft – how to remove generic, overused phrasing – how to keep your originality intact …and more No fluff. No overcomplicated techniques. Just what actually works if you want better results from ChatGPT. If your content feels polished but forgettable, this might change how you write. hashtag#ChatGPT (https://www.linkedin.com/search/results/all/?keywords=%23chatgpt&origin=HASH_TAG_FROM_FEED) hashtag#PromptEngineering (https://www.linkedin.com/search/results/all/?keywords=%23promptengineering&origin=HASH_TAG_FROM_FEED) hashtag#AIWriting (https://www.linkedin.com/search/results/all/?keywords=%23aiwriting&origin=HASH_TAG_FROM_FEED) hashtag#ContentWriting (https://www.linkedin.com/search/results/all/?keywords=%23contentwriting&origin=HASH_TAG_FROM_FEED) hashtag#ContentCreation (https://www.linkedin.com/search/results/all/?keywords=%23contentcreation&origin=HASH_TAG_FROM_FEED) hashtag#WritingTips (https://www.linkedin.com/search/results/all/?keywords=%23writingtips&origin=HASH_TAG_FROM_FEED) hashtag#LinkedInCreators (https://www.linkedin.com/search/results/all/?keywords=%23linkedincreators&origin=HASH_TAG_FROM_FEED) hashtag#DigitalWriting (https://www.linkedin.com/search/results/all/?keywords=%23digitalwriting&origin=HASH_TAG_FROM_FEED) hashtag#AIContent (https://www.linkedin.com/search/results/all/?keywords=%23aicontent&origin=HASH_TAG_FROM_FEED) hashtag#WritersOfLinkedIn (https://www.linkedin.com/search/results/all/?keywords=%23writersoflinkedin&origin=HASH_TAG_FROM_FEED)
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Cover image for Still asking ChatGPT random questions
Still asking ChatGPT random questions and wondering why the output feels generic? Check this out 👇 This one shift completely changed how I write with ChatGPT: Stop asking questions. Start giving context. #ChatGPT (https://www.linkedin.com/search/results/all/?keywords=%23chatgpt&origin=HASH_TAG_FROM_FEED) #AIWriting (https://www.linkedin.com/search/results/all/?keywords=%23aiwriting&origin=HASH_TAG_FROM_FEED) #PromptTips (https://www.linkedin.com/search/results/all/?keywords=%23prompttips&origin=HASH_TAG_FROM_FEED) #ContentCreators (https://www.linkedin.com/search/results/all/?keywords=%23contentcreators&origin=HASH_TAG_FROM_FEED) #LinkedInCreators (https://www.linkedin.com/search/results/all/?keywords=%23linkedincreators&origin=HASH_TAG_FROM_FEED) #WritingCommunity (https://www.linkedin.com/search/results/all/?keywords=%23writingcommunity&origin=HASH_TAG_FROM_FEED) #PromptEngineering (https://www.linkedin.com/search/results/all/?keywords=%23promptengineering&origin=HASH_TAG_FROM_FEED) #ContentStrategy (https://www.linkedin.com/search/results/all/?keywords=%23contentstrategy&origin=HASH_TAG_FROM_FEED) #DigitalWriting (https://www.linkedin.com/search/results/all/?keywords=%23digitalwriting&origin=HASH_TAG_FROM_FEED) #CreatorEconomy (https://www.linkedin.com/search/results/all/?keywords=%23creatoreconomy&origin=HASH_TAG_FROM_FEED)
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Technical Writer(5)
Jay Saadana's avatar
Jay Saadana
Delhi, India
Experienced DevRel professional with a proven track record
Experienced DevRel professional with a proven track record
Cover image for 🤖 Taipy for Beginners: How to Build Data Science Apps Without …
🤖 Taipy for Beginners: How to Build Data Science Apps Without …
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Cover image for Building AI-Ready Development Environments: How Daytona Powers …
Building AI-Ready Development Environments: How Daytona Powers …
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Cover image for Open Source Tools for Streamlining Release Management
Open Source Tools for Streamlining Release Management
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Technical Writer(3)
Aditya J's avatar
Aditya J
Delhi, India
SEO Certified Writer- Writes for Geeks for Geeks
SEO Certified Writer- Writes for Geeks for Geeks
Cover image for A GFG article talking about using Timeshift with BTRFS in Fedora
A GFG article talking about using Timeshift with BTRFS in Fedora
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Cover image for Article for Geeks for Geeks on Portmaster Firewall
Article for Geeks for Geeks on Portmaster Firewall
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Cover image for Geeks for Geeks article on verifying checksums on Linux.
Geeks for Geeks article on verifying checksums on Linux.
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Technical Writer(3)
Abhijeet Jha's avatar
Abhijeet Jha
New Delhi, India
AI/ML Engineer | Building LLM, Agentic AI & ML System
AI/ML Engineer | Building LLM, Agentic AI & ML System
Cover image for The Great AI ROI Lie Nobody in wants to Say Out Loud
The Great AI ROI Lie Nobody in wants to Say Out Loud
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Cover image for Jarvis CLI is a Python-based
Jarvis CLI is a Python-based voice assistant for Windows that enables hands-free desktop interaction through voice commands and an animated graphical interface. The assistant listens for a wake word, interprets spoken requests, and performs practical actions such as launching local applications, opening websites, searching Google or YouTube, playing media, retrieving the current time, and handling basic system commands. The project uses a modular architecture that separates speech processing, text-to-speech, command routing, desktop actions, and the GUI layer. It includes an animated orb interface that visually represents assistant states such as idle, listening, speaking, and code-generation activity. The voice and conversational pipeline was further explored with Google Gemini integration for transcription and AI-generated responses, while the project also contains local speech-recognition work based on Vosk. I designed and developed the assistant’s voice-command workflow, desktop automation capabilities, modular Python architecture, animated GUI, speech-processing integration, command normalization logic, and Gemini-powered conversational enhancements. The project demonstrates practical work in voice interfaces, AI assistant design, desktop automation, and human-friendly interaction flows.
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Cover image for SuperAgent is a multi-agent orchestration
SuperAgent is a multi-agent orchestration system built to automate complex, multi-step workflows across research, planning, coding, and general problem-solving tasks. The platform uses a hierarchical Hub-and-Spoke architecture powered by LangGraph and Google Gemini. A central Supervisor agent interprets the user’s goal, breaks the task into smaller steps, and routes work to specialized agents based on capability. The system includes a Coder Agent with isolated local code execution, a Generalist Agent for research and ideation, and persistent shared state to maintain context across agent handoffs. A React-based management dashboard provides visibility into agent activity, workflow progress, and approval-required actions. Safety is a core part of the design. SuperAgent applies iteration limits to control runaway execution and requires human approval before sensitive code execution steps proceed. The code-execution workspace is isolated through Docker-based containerization. I designed and developed the agent architecture, orchestration flow, safety model, code-execution environment, persistent context layer, backend services, and management dashboard.
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Cover image for A modern AI infrastructure tool
A modern AI infrastructure tool that estimates GPU VRAM requirements for LLM inference, fine-tuning, and quantization. It helps ML engineers configure a model workload, understand where memory is consumed, and identify suitable GPU hardware before deployment.
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Technical Writer(1)
Cryptonic Labs's avatar
Cryptonic Labs
Delhi, India
🔧Developer-Focused Tech Content Powerhouse🚀
🔧Developer-Focused Tech Content Powerhouse🚀
Cover image for Technical Blogs-as-Code for SaaS and DevTools Startups
Technical Blogs-as-Code for SaaS and DevTools Startups
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Cover image for Website Development for Companies
Website Development for Companies
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Cover image for DevRel-as-a-Service(Video Creation) for Tech Startups
DevRel-as-a-Service(Video Creation) for Tech Startups
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Technical Writer(1)