Shushant Lakhyani

Building TechnoBizzVault where I help you find the best tools. I like to talk about marketing, online business, AI, and technology.

Highly skilled content creator with a strong track record in newsletter growth, social media growth, and social media content creation. 

Proven success in building an audience on LinkedIn and Twitter/X and creating engaging content for newsletters. 

Experienced in creating content for LinkedIn, Twitter/X, and newsletters. 

Proficient in content creation and AI, no-code, and automation tools. 

Achievements:
✅ 150,000+ followers on LinkedIn and Twitter/X combined. 
✅ Helped Horizon AI reach 46,000+ newsletter subscribers from 1,800 subscribers in 6 months 
✅ Sold information products to more than 20,000 customers on Gumroad. 
✅ Worked with 5+ clients for ghostwriting 
✅ Gained 100M+ impressions on LinkedIn, Twitter/X, and Medium combined. 

Passionate about technology, content creation, and online business. 

Currently, working on building and growing TechnoBizzVault, an email newsletter where you discover hidden digital gems for free. 

Also, working as a freelance social media growth manager for a leading media brand in AI.

ClickUp Micro-Product Builder

Here are 19 websites powered by AI that’ll get you massively ahead in 2026 and beyond (don’t lose them).

🔖 Save this post for later 

---

1. Tweet Hunter

An AI-powered tool that will help you grow on Twitter/X with content ideas, viral posts inspiration, scheduling, engagement assistance, and analytics. 

🔗 https://lnkd.in/dD_aWkgv 

---

2. Sandcastles AI

Find outlier content in your niche, understand why they went viral, and remix them to create your next hit.

🔗 https://lnkd.in/draKtReh 

---

3. Cursor

AI-powered code editor that boosts productivity with smart multi-line autocompletion, natural language code edits, AI-driven refactoring, and deep codebase understanding.

🔗 https://cursor.com/ 

---

4. aiCarousels

Create carousels using AI in minutes.

🔗 https://lnkd.in/dxVQueqX 

---

5. Submagic

Create AI-powered perfectly edited short videos in minutes.

🔗 https://lnkd.in/dRmEq-x3 

---

6. Expertise AI

 Turn your website visitors into meetings and qualified pipeline with this AI agent platform.

🔗 https://www.expertise.ai/ 

---

7. 10Web

Build your websites without writing any code from just AI prompts.

🔗 https://10web.io/ 

---

8. VEED

All-in-one AI video content creation and editing tool.

🔗 https://lnkd.in/dwzDqVvC 

---

9. Superhuman

AI-powered email management for high-performance teams.

🔗 https://superhuman.com/ 

---

10. Zapier

Create AI-powered workflow automation in minutes using AI and AI agents.

🔗  http://zapier.com/ 

---

11. Taplio

It is the best all-in-one AI-powered tool for LinkedIn growth.

🔗 https://lnkd.in/dZGhtivW 

---

12. Beehiiv

Write your newsletter using AI, schedule it, grow, monetize, and get in-depth detailed analytics.

🔗 https://lnkd.in/dMvdenTq 

---

13. Kickresume

Create your resume and cover letter in minutes with AI.

🔗 https://lnkd.in/d5ZKKg3K 

---

14. Quadratic

Chat with your data and get insights in seconds.

🔗 https://lnkd.in/dKHMmQtW 

---

15. Gamma

Create persuasive presentations, landing pages, and docs powered by AI in minutes

🔗 https://gamma.app/ 

---

16. Lovable

This is one of the best tools to cook complete web apps easily in minutes from just a single prompt.

🔗 https://lnkd.in/dsgtVz5w 

---

17. VidIQ

All-in-one AI-powered YouTube growth tool that helps with ideas, titles, keywords, thumbnails and more all in one place.

🔗 https://lnkd.in/djr8HZvX 

---

18. Opus

Create multiple viral short video clips from one long video in minutes.

🔗 https://www.opus.pro/ 

---

19. Freepik

Suite of AI-powered tools for generating and editing images, videos, and design assets from simple prompts.

🔗 https://www.freepik.com/ 

---

Discover hidden digital gems for free: https://lnkd.in/daKFh4Gr 

---

Freelance marketer building TechnoBizzVault, where I help professionals discover modern tools so they can be productive without burning out.

Here are 19 websites powered by AI that’ll get you massively ahead in 2026 and beyond (don’t lose them).

🔖 Save this post for later 

1. Tweet Hunter

An AI-powered tool that will help you grow on Twitter/X with content ideas, viral posts inspiration, scheduling, engagement assistance, and analytics. 

🔗  https://tweethunter.io/?via=shushant 

2. Sandcastles AI

Find outlier content in your niche, understand why they went viral, and remix them to create your next hit.

🔗 https://www.sandcastles.ai/  

3. Cursor

AI-powered code editor that boosts productivity with smart multi-line autocompletion, natural language code edits, AI-driven refactoring, and deep codebase understanding.

🔗 https://cursor.com/    

4. aiCarousels

Create carousels using AI in minutes.

🔗 https://www.aicarousels.com/editor?via=shushant  

5. Submagic

Create AI-powered perfectly edited short videos in minutes.

🔗 https://www.submagic.co/?fpr=shushant59  

6. Expertise AI

 Turn your website visitors into

Give me 2 minutes and I’ll show you 15 insanely useful Google Chrome extensions you didn't know you were missing (until now).

🔖 Save this post for later 

---

1. Bardeen 

Build automation with ChatGPT, Sheets, and other web apps. Scrape, export & extract data with AI to improve sales & productivity. 

---

2. Kleo 

It is the browser extension that helps you discover and create the best LinkedIn content. 

---

3. SuperX 

It is a X (Twitter) analytics tool that helps you learn a lot about your activities, and catch up on missing tweets from your friends with a custom timeline. 

---

4. Sider 2.0

AI sidebar support chat with all AI models (DeepSeek, Gemini, Claude, etc.) for advanced AI search, read, and write. 

---

5. VidIQ

Get unique and authentic optimization data that can dramatically improve your YouTube videos’ performance, subscriber engagement, and promotion opportunities. 

---

6. Hunter 

Hunter for Chrome lets you find immediately who to contact when you visit a website. 

---

7. Text Blaze 

Create smart text expansions to get more done and streamline your work. 

---

8. Loom 

Record your screen and camera with one click. 

---

9. LinkCollect 

A tool to help you save, collect and share links and resource bundles with your friends faster and easier. 

---

10. Zapier 

You can save webpages to a spreadsheet, add tasks to your to-do list, share articles with your team, automatically reply to new leads, and much more. 

---

11. Evernote Web Clipper

Lets you save interesting things you find on the web directly to your Evernote account. 

---

12. Scribe: AI Documentation, SOPs & Screenshots

Turns any process into a step-by-step guide, complete with text, links and annotated screenshots. 

---

13. Page Marker - Draw on Web

Draw on any website, add text, add lines, and highlight. 

---

14. Fonts Ninja

Identify fonts from any website, bookmark and organize them. 

---

15. Tactiq

Meeting note taker and AI transcription for Google Meet, Zoom, and MS Teams. 

---

Discover hidden digital gems for free: https://lnkd.in/daKFh4Gr 

---

What other powerful chrome extension would you like to recommend?

Let me know in the comments 👇 

---

Give me 2 minutes and I’ll show you 15 insanely useful Google Chrome extensions you didn't know you were missing (until now).

🔖 Save this post for later 

1. Bardeen 

Build automation with ChatGPT, Sheets, and other web apps. Scrape, export & extract data with AI to improve sales & productivity. 

1. Kleo 

It is the browser extension that helps you discover and create the best LinkedIn content. 

1. SuperX 

It is a X (Twitter) analytics tool that helps you learn a lot about your activities, and catch up on missing tweets from your friends with a custom timeline. 

1. Sider 2.0

AI sidebar support chat with all AI models (DeepSeek, Gemini, Claude, etc.) for advanced AI search, read, and write.

1. VidIQ

Get unique and authentic optimization data that can dramatically improve your YouTube videos’ performance, subscriber engagement, and promotion opportunities. 

1. Hunter 

Hunter for Chrome lets you find immediately who to contact when you visit a website. 

1. Text Blaze 

Many people are using AI.

But very few people are using the right AI tools.

And that difference quietly decides who moves faster.

---

I noticed something interesting while working with AI tools every day.

Two creators had access to the exact same technology.

Both were using AI.

But their results looked completely different.

One used AI for simple tasks.

The other used AI as a power multiplier.

Suddenly the gap between them became massive.

---

That observation pushed me to map something simple:

Basic AI tools vs Advanced AI tools.

🔖 Save this post for later 

---

Here are a few examples most people miss:

• Brainstorming → ChatGPT
• Deep research → Gemini
• Coding → ChatGPT
• Image generation → Meta AI 

---

But when the work becomes serious:

→ Brainstorming → Claude Opus 4.6
→ Deep research → ChatGPT 5.2
→ Coding → Cursor
→ Development → Replit
→ Automation → Zapier
→ Agents → Perplexity Computer
→ Agent building → n8n
→ Website development → Webflow
→ Marketing → Jasper
→ Video editing → VEED
→ Video repurposing → Opus

---

The pattern becomes obvious.

Advanced tools help you scale.

---

Do's:

✅ Learn the specific strengths of each tool
✅ Use specialized tools instead of forcing one AI to do everything
✅ Combine tools into workflows and systems
✅ Verify outputs before using them in production
✅ Keep experimenting with new AI tools weekly

---

Don'ts:

❌ Don't depend on a single AI tool for all tasks
❌ Don't trust AI outputs blindly
❌ Don't ignore workflow automation opportunities
❌ Don't skip prompt clarity and structured inputs
❌ Don't stop learning new tools in a fast-moving space

---

AI is about building a powerful tool stack now.

And the people who understand this early will have a massive advantage.

---

Discover hidden digital gems for free: https://lnkd.in/daKFh4Gr 

---

If you're curious about which tools to use for which tasks, 
Check the infographic below 👇 

---

I'm curious:
What do you think about advanced level AI tools?
Drop your thoughts in the comments 👇 

---

🔁 Repost to help your network 

--

Many people are using AI.

But very few people are using the right AI tools.

And that difference quietly decides who moves faster.

---

I noticed something interesting while working with AI tools every day.

Two creators had access to the exact same technology.

Both were using AI.

But their results looked completely different.

One used AI for simple tasks.

The other used AI as a power multiplier.

Suddenly the gap between them became massive.

---

That observation pushed me to map something simple:

Basic AI tools vs Advanced AI tools.

🔖 Save this post for later 

---

Here are a few examples most people miss:

• Brainstorming → ChatGPT
• Deep research → Gemini
• Coding → ChatGPT
• Image generation → Meta AI 

---

But when the work becomes serious:

→ Brainstorming → Claude Opus 4.6
→ Deep research → ChatGPT 5.2
→ Coding → Cursor
→ Development → Replit
→ Automation → Zapier
→ Agents → Perplexity Computer
→ Agent building → n8n
→ Website development → Webflow
→ Marketing

99% people don’t really struggle with learning.

They struggle with processing too much information at once.

That’s exactly where AI helps.

---

In 2022, 
I noticed something uncomfortable.

I spent hours watching videos, reading blogs, saving PDFs, and bookmarking links.
Yet when it’s time to recall, explain, or apply,
My mind went blank.

The problem was overload.

---

But now I've started using Google NotebookLM seriously.

As an AI learning system.

Save this post for later 

---

Learning now feels lighter. 
Faster. 
Sharper.

---

Here’s what changed:

• Upload messy notes → get clean explanations
• Dump long PDFs → get instant summaries
• Add YouTube links → get structured insights
• Ask better questions → get source-backed answers
• Switch modes → fast research or deep thinking

--- 

NotebookLM does one thing extremely well
→ It thinks with your material, not the internet.

---

What makes it powerful:

✅ Uses only your uploaded sources
✅ Gives citations for every answer
✅ Turns chaos into clarity
✅ Works for learning, research, and problem-solving
✅ Built on Gemini’s latest models

---

What you can create with it:

→ Audio overviews
→ Flashcards
→ Quizzes
→ Reports
→ Mind maps
→ Slide decks
→ Infographics
→ Data tables

This feels like interactive understanding.

---

If you want to learn faster with NotebookLM, 
Remember this:

Do's of using NotebookLM for learning:

✅ upload original study material, not random links
✅ ask specific questions tied to your goal
✅ cross-check answers using source citations
✅ use deep research mode for complex topics
✅ refine prompts as your understanding improves

---

Dont's of using NotebookLM for learning:

❌ don’t treat it like Google search
❌ don’t rely on it without reading sources
❌ don’t upload unrelated documents together
❌ don’t expect creativity beyond provided material
❌ don’t skip manual thinking completely

---

AI is removing friction from learning.

If you care about learning faster, smarter, and with confidence with NotebookLM,
Check the infographic below to get the detailed explanation 👇

---

Discover hidden digital gems for free: https://lnkd.in/daKFh4Gr 

---

I’m curious
What do you think about using AI for learning?
Comment your honest take 👇 

---

♻️ Repost to help your network 

---

undefined undefined

Just Ship It

Subscribe to my newsletter to decode disruptive business models every week: https://digital-disruptor.beehiiv.com/

Everyone is working hard for growth.

These 16 AI tools make social media growth unfairly fast.

🔖 Save this post for later 

---

1. Tweet Hunter

Grow, engage, get leads, and sales from Twitter/X 

Link: https://lnkd.in/dD_aWkgv 

---

2. aiCarousels 

Create carousels for LinkedIn, Instagram, TikTok, and Youtube. 

Link: https://lnkd.in/dxVQueqX 

---

3. Taplio

Get inspiration, create new, content, repurpose, brainstorm, engage, generate leads and sales from LinkedIn . 

Link: https://lnkd.in/dZGhtivW 

---

4. Typefully 

Create and schedule content on Twitter/ X, Meta Threads, LinkedIn, and Bluesky. 

Link: https://lnkd.in/dMf7KV74 

---

5. VidIQ

An all-in-one AI-powered tool to help you grow on YouTube. 

Link: https://lnkd.in/dZaySYHT 

---

6. VEED

You can create and edit long and short videos in minutes with this tool. 

Link: https://lnkd.in/dwzDqVvC 

---

7. Opus

Create tons of viral short videos from one long video in minutes using AI. 

Link: https://www.opus.pro/ 

---

8. Submagic

Create perfectly edited viral short videos easily in minutes using AI. 

Link: https://lnkd.in/dRmEq-x3 

---

9. Sandcastles AI

AI handles the heavy lifting of idea research and scriptwriting so you can focus on bringing your short-form videos to life 

Link: https://lnkd.in/draKtReh 

---

10. Freepik

Use all the best AI image and video generators out there all in one place to create AI images and AI videos for your organic social media content

Link: https://www.freepik.com/ 

---

11. Canva

An AI-powered graphic design tool that will help you create the best visual content for your social media content. 

Link: https://www.canva.com/ 

---

12. Vsub 

Create viral AI short videos easily in seconds. 

Link: https://lnkd.in/dCEY9XW8 

---

13. Descript 

Use AI for video editing. 

Link: https://www.descript.com/ 

---

14. Spytok 

Get to know the best performing viral short TikTok videos for inspiration.

Link: https://spytok.com/ 

---

15. Typeshare 

Get viral content ideas and templates. 

Link: https://typeshare.co/ 

---

16. Higgsfield 

Use AI to generate viral image and video content easily in seconds by using the best AI models and content templates. 

Link: https://higgsfield.ai/ 

---

Discover hidden digital gems for free: https://lnkd.in/daKFh4Gr 

---

What do you think of using AI for social media growth?

Let me know in the comments 👇 

---

Everyone is working hard for growth.

These 10 AI tools make social media growth unfairly fast.

🔖 Save this post for later

1. Tweet Hunter

Grow, engage, get leads, and sales from Twitter/X 

Link: https://tweethunter.io/?via=shushant  

1. aiCarousels 

Create carousels for LinkedIn, Instagram, TikTok, and Youtube. 

Link: https://www.aicarousels.com/editor?via=shushant  

1. Taplio

Get inspiration, create new, content, repurpose, brainstorm, engage, generate leads and sales from LinkedIn . 

Link: https://taplio.com/?via=shushant  

1. Typefully 

Create and schedule content on Twitter/ X, Meta Threads, LinkedIn, and Bluesky. 

Link: https://typefully.com/?via=shushant  

1. VidIQ

An all-in-one AI-powered tool to help you grow on YouTube. 

Link: https://vidiq.com/shushant-l/   

1. VEED

You can create and edit long and short videos in minutes with this tool. 

Link: https://veed.cello.so/ukABtJhPxfA 

1. Opus

Create tons of viral short videos from one long video in minutes

Your resume isn’t bad; your strategy is.

These 10 AI tools quietly fix your entire job search.

🔖 Save this post for later 

---

1. Poised 

AI communication coach that offers real-time feedback to help you speak confidently during presentations.

Link: https://www.poised.com/ 

---

2. Langotalk

Learn a language faster than ever by chatting with an AI.

Link: https://www.langotalk.org/ 

---

3. NetworkAI

An AI-powered tool to help you grow your network and build trust among more people.

Link: https://lnkd.in/duT6wBxv 

---

4. Interview AI

This tool is for interviewers to create better interviews and also for candidates to practice interviews.

Link: https://lnkd.in/dAUXCTie 

---

5. Kickresume 

It is an AI-powered tool to build a resume and cover letter. 

Link: https://lnkd.in/d5ZKKg3K 

---

6. Final Round AI 

Crush job interviews with AI with an interview copilot. 

Link: https://lnkd.in/dvCazMei 

---

7. Jobright 

AI job search copilot. 

Link: https://jobright.ai/ 

---

8. Canyon 

An all-in-one tool for job seekers to manage job applications, build resumes, practice interviewing, and more. 

Link: https://www.usecanyon.com/ 

---

9. ResumeMaker Online 

Create a resume easily in 2 minutes using AI. 

Link: https://lnkd.in/dXnd6mqQ 

---

10. AutoApply Jobs 

AI-Driven Job Applications, Custom CVs, and Personalized Cover Letters. 

Link: https://autoapply.jobs/ 

---

What do you think of using AI tools for job search?

Let me know in the comments 👇 

---

Discover hidden digital gems for free: https://lnkd.in/daKFh4Gr 

🔁 Repost to help your network 

---

Your resume isn’t bad; your strategy is.

These 10 AI tools quietly fix your entire job search.

🔖 Save this post for later

1. Poised 

AI communication coach that offers real-time feedback to help you speak confidently during presentations.

Link: https://www.poised.com/ 

1. Langotalk

Learn a language faster than ever by chatting with an AI.

Link: https://www.langotalk.org/

1. NetworkAI

An AI-powered tool to help you grow your network and build trust among more people.

Link: https://www.wonsulting.com/networkai

1. Interview AI

This tool is for interviewers to create better interviews and also for candidates to practice interviews.

Link: https://www.interviewai.io/

1. Kickresume 

It is an AI-powered tool to build a resume and cover letter. 

Link: https://www.kickresume.com/en/ 

1. Final Round AI 

Crush job interviews with AI with an interview copilot. 

Link: https://www.finalroundai.com/  

1. Jobright 

AI job search copilot. 

Link: https://jobright.ai/  

1. Canyon 

This is frustrating.

---

3:00 AM.
Your phone buzzes.
Dashboards light up.
Logs pile up.
Another “critical spike".

---

And suddenly, your best engineers are doing detective work instead of building the future.

---

Here’s the uncomfortable truth most teams avoid:

1. Seeing problems is no longer impressive.
2. Reacting manually is already outdated.

---

The real leap in software reliability is this 👇

Software that understands issues and fixes them on its own.

That’s what Agentic AI actually means.

---

A platform that:

• Detects issues in real time

• Understands what broke and why

• Takes action automatically

• Gives engineers their nights and creativity back 

---

This is the shift from observability to autonomous resolution.

And it’s being unveiled soon.

---

Join on Feb 25 for the launch of the New Relic Agentic AI Platform

Join here: https://lnkd.in/e-669gDu 

---

The question is not whether software becomes agentic.

It’s those who adopt it first.

---

Would you trust your platform to fix itself while you sleep?

Drop your take in the comments 👇 

---

Brand partnership • Freelance marketer building TechnoBizzVault, where I help professionals discover modern tools so they can be productive without burning out.

This is frustrating.



---



3:00 AM.

Your phone buzzes.

Dashboards light up.

Logs pile up.

Another “critical spike".



---



And suddenly, your best engineers are doing detective work instead of building the future.



---



Here’s the uncomfortable truth most teams avoid:



1. Seeing problems is no longer impressive.

2. Reacting manually is already outdated.



---



The real leap in software reliability is this 👇



Software that understands issues and fixes them on its own.



That’s what Agentic AI actually means.



---



A platform that:



• Detects issues in real time



• Understands what broke and why



• Takes action automatically



• Gives engineers their nights and creativity back 



---



This is the shift from observability to autonomous resolution.



And it’s being unveiled soon.



---



Join on Feb 25 for the launch of the New Relic Agentic Platform

Your resume doesn't get rejected.

You do.

And AI can help fix that.

---

I know that line stings.
It is supposed to.

Last week, someone DM’d me saying
“I applied to 200 jobs. Zero callbacks.”

---

But here is the uncomfortable truth 👇
Most resumes are invisible to both humans and machines.

Because resumes are written like diaries.

---

Then AI entered the chat.

🔖 Save this post for later 

---

And suddenly:
• Weak bullets became measurable impact
• Vague roles became outcome-driven narratives
• Keyword stuffing became structured clarity

---

That is why people are panicking.

Because AI exposed how bad resumes already were.

---

What AI actually fixes in resumes:
→ Structure > style
→ Clarity > creativity
→ Signal > storytelling
→ Relevance before decoration

---

✅ Hiring managers skim
✅ ATS systems parse
✅ Recruiters look for proof

And AI is insanely good at that layer.

---

But here is where most people mess it up:
They think AI will do the thinking for them.

AI does not know your impact.
AI does not know your tradeoffs.
AI does not know what you chose not to do.

You still have to bring the truth.

---

Do's:
✅ do give AI real metrics and outcomes
✅ do tailor prompts to specific job roles
✅ do ask AI to rewrite, not invent
✅ do validate keywords against job descriptions
✅ do edit outputs to sound like a human

---

Don'ts:
❌ don’t copy paste without reviewing
❌ don’t fake achievements or inflate numbers
❌ don’t use one resume for all roles
❌ don’t let AI add skills you do not have
❌ don’t forget ATS compatibility and formatting

---

To get ChatGPT prompts that help you with resume creation,
Check the carousel below 👇 

---

Discover hidden digital gems for free: https://lnkd.in/daKFh4Gr 

---
 
What do you think about using AI for resume creation?
Comment below 👇 

---

🔁 Repost to help your network 

---

ChatGPT Prompts For Resume Creation

If you take these 20 Perplexity AI prompts seriously, you’ll be 10x more productive at work.

🔖 Save this post for later 

---

 Here are all the 20 prompt use cases covered in the carousel below:

1. Daily priority architect
2. Weekly outcome planner
3. Task prioritization engine
4. Deep work system builder
5. Time audit analyzer
6. Goal to action decomposer
7. Productivity habit designer
8. Focus recovery protocol
9. Decision fatigue reducer
10. Meeting optimization framework
11. Procrastination root cause diagnosis
12. Energy management planner
13. Personal productivity dashboard
14. Distraction elimination blueprint
15. Workload simplification strategy
16. Execution momentum starter
17. Productivity tool stack optimizer
18. Weekly review and reset system
19. Context switching minimizer
20. Personal productivity operating system 

---

What do you think about Perplexity AI?

Let me know in the comments 👇 

---

Discover hidden digital gems for free: https://lnkd.in/daKFh4Gr 

🔁 Repost to help your network 

---

20 Perplexity Prompts To 10x Your Productivity

ChatGPT is just ok. You’re wrong. 

ChatGPT is more powerful than what you think. 

Here are 20 ChatGPT prompts that help with job interview preparation. 

🔖 Save this post for later 

---

Here are all the 20 prompt use cases covered in the carousel below:

1. Role-Specific Interview Simulation
2. Job Description Deep-Dive Analysis
3. Resume-to-Interview Alignment
4. Behavioral Question Mastery
5. Weaknesses and Failure Questions
6. Technical Skills Stress-Test
7. Case Study and Problem-Solving
8. Company-Specific Interview Preparation
9. Tell Me About Yourself Optimization
10. Salary Negotiation Interview
11. Cultural Fit and Values
12. Leadership and Ownership
13. Mock Panel Interview
14. Interview Red Flags Detection
15. Confidence and Communication Coach
16. Time-Pressured Interview Practice
17. Follow-Up and Clarifying Questions
18. Interview Question Prediction
19. Final Interview Readiness Assessment
20. Post-Interview Reflection and Improvement 

---

Tip-1: You can transcribe this PDF carousel in Mistral AI 

---

Tip-2: These are prompt templates. 

So you need to customise them to your own use case while using them. 

---

Discover digital hidden gems for free: https://lnkd.in/daKFh4Gr 

---

What other use cases of using ChatGPT for interview practice would you like to recommend?

Let me know in the comments 👇 

---

ChatGPT Prompts For Interview Preparation

The real AI revolution is not ChatGPT.

It is AI agents doing your work.

Here are 10 tools to build and deploy AI agents in minutes.

🔖 Save this post for later 

---

1. Zapier Agents  

Build your custom AI agent in just minutes using plain English. 

Link: https://zapier.com/agents 

---

2. Agent AI 

Discover, connect with, and hire AI agents to do useful things. 

Link: https://agent.ai/ 

---

3. Relevance’s AI Agents 

Build and recruit teams of AI agents to complete tasks on autopilot. 

Link: https://lnkd.in/ge-hjH4B 

---

4. Postman’s AI Agent Builder 

Build smarter agents with a comprehensive suite of tools that puts discovery, testing, and deployment at your fingertips. 

Link: https://lnkd.in/gCxyyUQb 

---

5. Mindpal 

You can build your AI workforce to automate manual work. 

Link: https://lnkd.in/gKQPKSi8 

---

6. n8n

A low/no-code AI automation tool that also lets you build AI agents with LLMs, memory, tool integrations, and workflows. 

Link: https://n8n.io/  

---

7. Salesforce’s Agentforce 

You can customize an out-of-the-box AI agent to any industry and any use case. 

Link: https://lnkd.in/gfpgcgKQ 

---

8. Voiceflow 

Build AI customer support agents with complete control. 

Link: https://www.voiceflow.com/ 

---

9. Crew AI 

It is the complete platform for multi-agent automation. 

Link: https://www.crewai.com/ 

---

10. Make AI Agents

Make is a popular workflow automation tool that lets you build, customize, and manage intelligent AI agents that automate your business processes. 

Link: https://lnkd.in/dpWdHjCW 

---

Don’t worry.

These are trustworthy platforms.

---

Chill.

You don’t need to use all of them. 

Check and try these platforms and work with only 1-2 platforms in the long term. 

---

What other AI agent platforms would you like to recommend?

Comment below 👇 

---

Discover hidden digital gems for free: https://lnkd.in/daKFh4Gr 

---

🔁 Repost to help your network 

---

The real AI revolution is not ChatGPT.

It is AI agents doing your work.

Here are 10 tools to build and deploy AI agents in minutes.

🔖 Save this post for later 

1. Zapier Agents  

Build your custom AI agent in just minutes using plain English. 
Link: https://zapier.com/agents 

1. Agent AI 

Discover, connect with, and hire AI agents to do useful things. 
Link: https://agent.ai/ 

1. Relevance’s AI Agents 

Build and recruit teams of AI agents to complete tasks on autopilot. 

Link: https://relevanceai.com/agents 

1. Postman’s AI Agent Builder 

Build smarter agents with a comprehensive suite of tools that puts discovery, testing, and deployment at your fingertips. 

Link: https://www.postman.com/product/ai-agent-builder/ 

1. Mindpal 

You can build your AI workforce to automate manual work. 

Link: https://mindpal.space/tool/ai-agent-builder 

1. n8n

A low/no-code AI automation tool that also lets you build AI agents with LLMs, memory, tool integrations, and workflows. 

Link:

If you skip learning AI today, you will watch others take the opportunities meant for you.

Here are 10 AI courses that make sure you are on the winning side. 

🔖 Save this post for later 

---

1. Rundown University

Get access to AI certificate courses, hundreds of real-world AI use cases, live workshops, an exclusive network of AI early adopters, and more.

Link: https://lnkd.in/dKHqQCMm 

---

2. Outskill

Master AI skills with industry experts. Flexible learning paths for in-demand careers. Join thousands who transformed their careers with our proven AI learning methodology.

Link: https://www.outskill.com/ 

---

3. Learn Prompting

Gain cutting-edge AI knowledge with hands-on, research-backed courses that solve real-world problems.

Link: https://lnkd.in/dD8SpMtF 

---

4. Deep Learning AI

Get the latest AI news, courses, events, and insights from Andrew Ng and other AI leaders.

Link: https://lnkd.in/dNDhf7NF 

---

5. Codefast

Learn to code in weeks, not months, with AI.

Link: https://codefa.st/ 

---

6. Nick Saraev 

If you want to learn about building AI agent and automations and offering these services to businesses, this is the place for you.

Link: https://lnkd.in/ecQak68R  

---

7. Udacity’s Masters in AI

I trust Udacity because their project helped me land my Goldman Sachs job in 2021. But with this accredited AI degree, built on real projects, you’ll learn step by step, from foundational AI concepts to advanced applications, on a customizable path built for you.

Link: https://lnkd.in/egvV6q67  

---

8. Codeacademy

This is a platform that helps you master programming but also has courses to help you be an AI engineer.

Link: https://lnkd.in/eRwVHjvi 

--- 

9. AI Engineer Agentic Track: The Complete Agent & MCP Course

If you want to work with AI agents, this is the course for you. This will help you build 8 real-world projects with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP.

Link: https://lnkd.in/eSq2ifbq  

---

10. AI Engineer Core Track

If you want to get into core AI engineering, go for this. You will also build and deploy 8 LLM apps, mastering Generative AI, RAG, LoRA and AI Agents

Link: https://lnkd.in/er6T7EEU 

---

Have you started learning AI?

Let me know in the comments 👇 

---

Discover hidden digital gems for free: https://lnkd.in/daKFh4Gr 

---

🔁 Repost to help your network 

---

If you skip learning AI today, you will watch others take the opportunities meant for you.

Here are 10 AI courses that make sure you are on the winning side. 

🔖 Save this post for later 

1. Rundown University

Get access to AI certificate courses, hundreds of real-world AI use cases, live workshops, an exclusive network of AI early adopters, and more.

Link: https://rundown.ai/ai-university/ 

1. Outskill

Master AI skills with industry experts. Flexible learning paths for in-demand careers. Join thousands who transformed their careers with our proven AI learning methodology.

Link: https://www.outskill.com/ 

1. Learn Prompting

Gain cutting-edge AI knowledge with hands-on, research-backed courses that solve real-world problems.

Link: https://learnprompting.org/ 

1. Deep Learning AI

Get the latest AI news, courses, events, and insights from Andrew Ng and other AI leaders.

Link: https://www.deeplearning.ai/ 

1. Codefast

Learn to code in weeks, not months, with AI.

More than 10000 AI tools exist now. 

But you don’t need to use them all. 

Here’s the complete AI tool mastery roadmap to help you know how to go from zero to pro level in working with the best AI tools.

🔖 Save this post for later 

---

Do you use AI tools regularly now?

Comment below 👇 

---

Discover hidden digital gems for free: https://lnkd.in/daKFh4Gr 

---

🔁 Repost to help your network 

---

Foundation Layer: Thinking in AI

1. AI fundamentals and mental models

Understand what AI can and cannot do, how models think in probabilities, and where human judgement still matters.

2. Large Language Models mastery

Learn to use ChatGPT, Claude, Gemini, and Grok deeply with structured prompts, context control, and output constraints.

3. Prompt engineering systems

Master zero-shot, few-shot, chain-of-thought, role prompting, and iterative refinement frameworks.

4. Model selection and trade-offs

Learn when to use which model based on reasoning, speed, cost, context window, and reliability.



Personal Productivity and Knowledge Work

5. AI workspace productivity

Use AI inside Notion, ClickUp, Asana, and Monday to plan, document, and manage work faster.

6. AI note-taking and knowledge capture

Use tools like Otter, Fireflies, Notion, and Granola to convert meetings, calls, and ideas into structured knowledge.

7. AI research and synthesis

Master tools like Perplexity 

I'm sad to see most people are still using AI wrong.

They treat it like Google search.

But tools like Perplexity can act like a research assistant if you know what to prompt.

---

I ran an experiment.

Instead of searching the web the old way, 
I forced myself to use Perplexity for almost everything.

- Research.
- Summaries.
- Comparisons.
- Learning new topics.

And something interesting happened.

---

The internet stopped feeling noisy.

Because instead of hunting for answers…
I started using better prompts.

That is when I created this.

---

I've created 20 Perplexity prompts that can 10x your productivity.

🔖 Save this post for later 

---

Here are a few powerful ways people use Perplexity today:

• → Research complex topics in minutes
• → Summarize long reports instantly
• → Compare tools, frameworks, and strategies
• → Break down difficult concepts simply
• → Generate step-by-step plans
• → Discover credible sources faster
• → Analyze trends and insights
• → Turn messy information into structured knowledge

---

Think of it like this:

✔ Google gives you links
✔ Perplexity gives you answers with sources

That small difference changes everything.

---

Do’s when using Perplexity:

✔ Ask clear, specific prompts
✔ Check citations and sources
✔ Use follow-up prompts to refine answers
✔ Ask for comparisons and breakdowns
✔ Use it for research before creating content

---

Don’ts when using Perplexity:

✖ Do not rely on one answer without checking sources
✖ Do not ask vague questions like “tell me about AI”
✖ Do not skip verification for critical information
✖ Do not treat it as a replacement for thinking
✖ Do not copy outputs without understanding them

---

Used correctly, 
Perplexity becomes something powerful.

A thinking accelerator.
A research partner.
And sometimes… a productivity superpower.

---

To get all the 20 Perplexity prompts,
Check the carousel below 👇 

---

Discover hidden digital gems for free: https://lnkd.in/daKFh4Gr 

--- 

I’m curious:
What do you think about using Perplexity for research and productivity?
Drop your thoughts in the comments 👇 

---

🔁 Repost to help your network 

---

Perplexity Prompts To 10x Your Productivity

I don’t understand why people don’t just lock in on LinkedIn. 

Here are 26 ways to monetize your LinkedIn account.

🔖 Save this post for later 

---

1. Sell NFTs
2. Sell merch
3. Sell checklists
4. Sell workshops
5. Sell event tickets
6. Sell cheat sheets
7. Sell premium DMs
8. Sell print of your art
9. Do affiliate marketing
10. Sell freelance services
11. Sell physical products
12. Sell coaching services
13. Sell consulting services
14. Sell a SaaS subscription
15. Sell stock media assets
16. Sell a community access
17. Sell an information product
18. Sell a cohort-based course
19. Get royalty from book sales
20. Get donations from your fans
21. Get paid to be on LinkedIn events
22. Sell premium content memberships
23. Partner with sponsors on your content
24. Sell a paid email newsletter subscription
25. Sell a template (example: Notion or Canva templates)
26. Build an email list and monetize by sponsored recommendations and ads.

---

How I’ve monetized my LinkedIn account?

I’ve monetized with:

1. Freelancing services
2. Sponsored posts for brands
3. Affiliate marketing
4. Consulting
5. Email newsletter

---

Do’s of making money on LinkedIn:

✅ Optimize your profile with a professional photo and clear headline.
✅ Regularly share valuable, problem-solving content for your target audience.
✅ Build and nurture a targeted, engaged network—quality over quantity.
✅ Use LinkedIn to offer services, products, or premium content directly.
✅ Personalize your outreach and engage genuinely with connections

---

Don’ts of making money on LinkedIn:

❎ Don’t neglect your profile.
❎ Don’t send generic, value-less, or spammy messages to prospects.
❎ Don’t connect aimlessly with people outside your target audience.
❎ Don’t overshare irrelevant or overly personal content, stay professional.
❎ Don’t be overly pushy or salesy in your content; focus on solving problems. 

---

What do you think of making money on LinkedIn?

Let me know in the comments 👇 

---

Discover digital hidden gems for free: https://lnkd.in/daKFh4Gr 

---

🔁 Repost to help your network 

---

I don’t understand why people don’t just lock in on LinkedIn. 

Here are 26 ways to monetize your LinkedIn account: 

🔖 Save this post for later 

1. Sell NFTs
2. Sell merch
3. Sell checklists
4. Sell workshops
5. Sell event tickets
6. Sell cheat sheets
7. Sell premium DMs
8. Sell print of your art
9. Do affiliate marketing
10. Sell freelance services
11. Sell physical products
12. Sell coaching services
13. Sell consulting services
14. Sell a SaaS subscription
15. Sell stock media assets
16. Sell a community access
17. Sell an information product
18. Sell a cohort-based course
19. Get royalty from book sales
20. Get donations from your fans
21. Get paid to be on LinkedIn events
22. Sell premium content memberships
23. Partner with sponsors on your content
24. Sell a paid email newsletter subscription
25. Sell a template (example: Notion or Canva templates)
26. Build an email list and monetize by sponsored recommendations and ads.

How I’ve monetized my LinkedIn account?

I’ve monetiz

Nobody becomes world class by accident. 

Every elite career follows the same hidden progression. 

Here are the 20 levels you must pass to go from zero to the best in the world. 

🔖 Save this post for later 

--- 

What do you think about these levels of career progression?

Let me know in the comments below 👇 

--- 

Discover hidden digital gems for free: 

--- 

♻️ Repost to help your network

1. Awareness

Explanation: You become aware that the field exists and that people build careers in it.
Example: A student learns that product management is a real profession.



2. Curiosity

Explanation: You start exploring what the field involves and why it matters.
Example: Watching YouTube videos or reading blogs about how designers think.



3. Basic Literacy

Explanation: You understand core terms, concepts, and vocabulary of the field.
Example: Knowing what variables, APIs, or KPIs mean in context.



4. Beginner Practice

Explanation: You try simple tasks to experience the work firsthand.
Example: Writing your first basic script or designing a simple logo.



5. Structured Learning

Explanation: You follow a curriculum, course, or book to learn systematically.
Example: Completing a beginner course or certification in the field.



6. Skill Replication

Explanation: You can reproduce known solutions by following instructions.
Example: Building a project by copying and understand

ChatGPT is insanely powerful for marketers. 

But don’t limit yourself to only ChatGPT. 

Here are 10 AI websites for marketers to finish hours of work in minutes: 

🔖 Save this post for later 

---

1. Writesonic 

Their AI agents integrate with Ahrefs, Semrush, Search Console & more to automate SEO workflows, create content, and optimize for both Google and AI search engines like ChatGPT. 

Link: https://writesonic.com/ 

---

2. Veed 

An all-in-one AI-powered tool for video content marketing. 

Link: https://veed.io/ 

---

3. Taplio 

AI-powered platform to help you grow on LinkedIn with content scheduling, viral post creation, AI assistance, lead generation, and more. 

Link: https://lnkd.in/dZGhtivW 

---

4. Submagic 

An all-in-one AI-powered tool to edit short videos. 

Link: https://lnkd.in/dRmEq-x3 

---

5. HeyGen 

An AI-powered tool to help you do better video content marketing with your realistic video avatar. 

Link: https://lnkd.in/dmDreE-5 

---

6. Canva 

An AI-powered graphic design tool to create visuals for better marketing. 

Link: canva.com 

---

7. Podcastle 

AI-powered podcast and video software. 

Link: https://podcastle.ai/ 

---

8. Beehiiv 

All-in-one AI-powered email newsletter writing, growth, and monetization platform. 

Link: https://lnkd.in/dMvdenTq 

---

9. TubeBuddy  

Create, manage, and grow your YouTube channel confidently with tools built for creators. 

Link: https://www.tubebuddy.com/ 

---

10. aiCarousels 

Create carousels to post on multiple social media platforms easily in minutes. 

Link: https://lnkd.in/dxVQueqX 

---

I’ve tried all of them. 

And yes, they work well.

And some of them already have millions of users.

---

And you don’t need to use all of these tools.

Use only the tool that helps solve a problem you’re facing.

---

What other AI tools would you like to add here?

Comment below 👇 

---

Discover hidden digital gems for free: https://lnkd.in/daKFh4Gr 

---

🔁 Repost to help your network 

---

ChatGPT is insanely powerful for marketers. 

But don’t limit yourself to only ChatGPT. 

Here are 10 AI websites for marketers to finish hours of work in minutes: 

🔖 Save this post for later 

1. Writesonic 

Their AI agents integrate with Ahrefs, Semrush, Search Console & more to automate SEO workflows, create content, and optimize for both Google and AI search engines like ChatGPT. 

Link: https://writesonic.com/ 

1. Veed 

An all-in-one AI-powered tool for video content marketing. 

Link: https://veed.io/ 

1. Taplio 

AI-powered platform to help you grow on LinkedIn with content scheduling, viral post creation, AI assistance, lead generation, and more. 

Link: https://taplio.com/?via=shushant 

1. Submagic 

An all-in-one AI-powered tool to edit short videos. 

Link: https://www.submagic.co/?fpr=shushant59 

1. HeyGen 

An AI-powered tool to help you do better video content marketing with your realistic video avatar. 

Link: https://app.heygen.com/login?sid=rewardful&via=shusha

97% people will watch the AI revolution.

2% will ride it.

The top 1% will build it.

---

And the difference between those three groups is just one thing: 

AI skills.

---

In 2023, I was watching people debate whether AI would matter.

Today the conversation is completely different.

• Companies are replacing manual workflows with AI
• Developers are shipping AI products weekly
• Creators are building entire businesses with AI

---

According to multiple industry reports, over 75% of companies are already experimenting with generative AI.

Yet most professionals still use AI for only basic prompts.

That’s like owning a Ferrari and using it to drive to the grocery store.

---

So I curated 24 AI skills you can start learning right now for 2026.

🔖 Save this post for later 

---

Here are a few examples from the carousel:

• Prompt engineering mastery
• AI workflow automation
• Building AI agents
• Retrieval Augmented Generation (RAG)
• Vector databases
• AI API integrations
• Multimodal AI systems
• AI evaluation frameworks
• Fine-tuning models
• AI product building

---

Because the truth is simple:

➡️ AI will not replace you.
➡️ But someone using AI better than you might.

---

The professionals who win in the next decade will not just use AI tools.

They will build systems with them.

And that’s a completely different game.

---

Do's:

✔️ Start building projects instead of just watching tutorials
✔️ Learn how models actually work, not just prompts
✔️ Experiment with multiple AI tools and APIs
✔️ Combine AI with automation and workflows
✔️ Stay updated because AI evolves every month

---

Don'ts:

✘ Don’t rely on a single AI tool
✘ Don’t ignore the technical foundations
✘ Don’t wait for the “perfect time” to start learning
✘ Don’t just consume AI content without building
✘ Don’t underestimate how fast this field moves

---

The AI wave is already here.

The only real question is:
Will you be sleeping… or an AI builder?
Comment below 👇 

---

Discover the best tools: https://lnkd.in/daKFh4Gr 

---

To get all the 24 powerful AI skills you can work on in 2026, 
Check the PDF carousel below 👇 

---

🔁 Repost to help your network 

---

24 AI Skills You Can Work On In 2026

Here’s a quick short summary of everything that happened in AI last week

🔖 Save this post for later 

---

What do you think will happen in AI this week?

Let me know in the comments 👇  

---

Get to know the best tools: https://lnkd.in/daKFh4Gr 

---

🔁 Repost to help your network 

---

Here’s a quick short summary of everything that happened in AI last week

🔖 Save this post for later 

What do you think will happen in AI this week?

Let me know in the comments 👇  

Discover hidden digital gems for free: https://technobizzvault.beehiiv.com/subscribe 

🔁 Repost to help your network

Here’s a quick short summary of everything that happened in AI last week

🔖 Save this post for later 

---

1. ByteDance just shook the AI market by launching Seed 2.0, a low-cost agentic model that rivals or beats GPT-5.2 and Gemini 3 Pro on major benchmarks while igniting fresh controversy with its viral Seedance video tech.

---

2. OpenAI launched an optional ChatGPT Lockdown Mode with Elevated Risk labels to restrict exploitable features, limit live web access, and give admins tighter control for high-security use cases.

---

3. Anthropic’s Claude Sonnet 4.6 delivers near or better than Opus 4.6 performance across coding, finance, agents, and computer use at one fifth the cost, with a massive 1M token context window.

---

4. ElevenLabs launched ElevenLabs for Government to enable public sector agencies to deploy secure, multilingual voice and conversational AI at scale.

---

5. Alibaba just open-sourced Qwen3.5-397B, a sparse MoE vision language model that activates only 17B parameters per query, matches or beats top proprietary models in key tasks, and delivers far cheaper, faster multimodal reasoning at scale.

---

6. Figma’s new Code to Canvas integration with Anthropic turns live UIs built in Claude Code into fully editable Figma designs, tightening the design-to-code loop as the company faces AI-driven SaaS pressure.

---

7. xAI has launched the public beta of Grok 4.20, introducing a new parallel agent workflow where four AI agents collaborate simultaneously to research and execute tasks.

---

8. Cohere Labs has open-sourced Tiny Aya, a 3.35B parameter multilingual model supporting 70+ languages with notably stronger performance on under-represented dialects.

---

9. Google launched Lyria 3 inside Gemini, letting users generate fully customized 30-second music tracks with AI lyrics, cover art, SynthID watermarking, and built-in support for YouTube Shorts via Dream Track.

---

10. Tavus unveiled Phoenix-4, a real-time AI human rendering model that generates lifelike avatars with fluid facial expressions, emotional shifts, and HD 40-FPS video interactions designed to make conversations feel genuinely human across healthcare, education, and sales.

---

11. Google launched Gemini 3.1 Pro, delivering a massive reasoning leap and benchmark-leading performance across science, coding, and agentic tasks while keeping the same pricing and 1M token context as Gemini 3 Pro.

---

What do you think will happen in AI this week?

Let me know in the comments 👇 

---

Discover hidden digital gems for free: https://lnkd.in/daKFh4Gr 

🔁 Repost to help your network 

---

Here’s a quick short summary of everything that happened in AI last week

🔖 Save this post for later 

1. ByteDance just shook the AI market by launching Seed 2.0, a low-cost agentic model that rivals or beats GPT-5.2 and Gemini 3 Pro on major benchmarks while igniting fresh controversy with its viral Seedance video tech.
2. OpenAI launched an optional ChatGPT Lockdown Mode with Elevated Risk labels to restrict exploitable features, limit live web access, and give admins tighter control for high security use cases
3. Anthropic’s Claude Sonnet 4.6 delivers near or better than Opus 4.6 performance across coding, finance, agents, and computer use at one fifth the cost, with a massive 1M token context window.
4. ElevenLabs launched ElevenLabs for Government to enable public sector agencies to deploy secure, multilingual voice and conversational AI at scale.
5. Alibaba just open sourced Qwen3.5-397B, a sparse MoE vision language model that activates only 17B parameters per query, matches

AI/ML Engineer | 300K+ Impressions | Python & Full-Stack Developer | Building Next-Gen AI Agents 🤖 | Mentor Empowering Students & IT Pros | Passionate About Smart, Scalable Systems

As an AI/ML Engineer and passionate Python developer, I specialize in building intelligent, scalable systems that solve real-world problems. With a strong foundation in Electrical and Electronics Engineering (B.E., CGPA 8.7), I transitioned into the world of artificial intelligence, machine learning, and full-stack development — driven by curiosity, creativity, and a deep commitment to continuous learning.

At Avasoft, I’ve had the opportunity to work on cutting-edge projects, including AI-powered chatbots, voice-based assistants, RAG (Retrieval-Augmented Generation) models, and real-time backend services using FastAPI, Flask, and PyTorch. I’ve also led data automation efforts through web scraping, vector similarity searches, and NLP-driven applications, deploying robust solutions via Docker and CI/CD pipelines.

Beyond engineering, I find great fulfillment in mentoring and uplifting students and IT professionals. I actively guide aspiring engineers and developers through technical challenges, career planning, and project development. Whether it's through code reviews, workshops, or one-on-one sessions, I believe in creating opportunities for others to grow and succeed in tech.

My strengths lie in end-to-end solution design, a deep understanding of modern AI architectures, and the ability to translate business needs into technical deliverables. I’m always excited to collaborate, share ideas, and innovate in the intersection of AI, software, and real-time systems.

Let’s connect if you’re looking to discuss AI, collaborative projects, or mentoring opportunities!

Reshma S

Most developers think using Claude Code means opening the terminal and asking it to generate code.

That approach barely scratches the surface.
Over the past few weeks I’ve been exploring how Claude Code actually works under the hood experimenting with workflows, project setup, and agent-style development.

One thing became very clear:
The real power of Claude Code is not the prompt.
It’s the system around the prompt.

When configured properly, Claude Code operates like a structured AI engineering environment, built on four layers:
→ CLAUDE.md  the persistent memory of your project
→ Skills -> reusable knowledge packs Claude auto-invokes
→ Hooks -> deterministic rules and safety gates
→ Agents ->specialized sub-agents with their own context
Many engineers install Claude Code and immediately start prompting.
But the difference between basic results and production-quality outputs usually comes down to how well the system is set up.

Here are a few practices that made a huge difference in my workflow:
→ Run /init on day one to generate your CLAUDE.md memory file
→ Organize the .claude/ directory with skills, hooks, and permissions
→ Write clear skill descriptions so Claude knows when to activate them
→ Use the memory hierarchy (global → project → folder level) to control context
→ Add hooks for critical rules  because hooks are enforced 100%, while memory rules are advisory
Once you structure Claude Code this way, it stops feeling like a chatbot and starts behaving like a true AI development system.

For anyone who wants to go deeper, Anthropic also released several free courses covering Claude, AI agents, and Model Context Protocol.

Foundations
1️⃣ Claude 101
https://lnkd.in/guNCrDhe
2️⃣ AI Fluency: Framework & Foundations
https://lnkd.in/gV-vjwE5
3️⃣ AI Fluency For Students
https://lnkd.in/gr8WFx8W
4️⃣ AI Fluency For Educators
https://lnkd.in/gBSgaikQ
5️⃣ Teaching AI Fluency
https://lnkd.in/gGTgshb7

Developer Fundamentals
6️⃣ Claude Code In Action
7️⃣ Building With The Claude API
8️⃣ Prompt Engineering Interactive Tutorial

 Platform Integrations
9️⃣ Claude With Amazon Bedrock
🔟 Claude With Google Cloud Vertex AI

Advanced AI Engineering
1️⃣1️⃣ Introduction To Model Context Protocol
1️⃣2️⃣ Model Context Protocol: Advanced Topics

Also credit to Legend Brij kishore for the excellent Claude Code workflow cheatsheet that helped visualize the architecture.

♻️ Repost if you want more engineers to learn Claude and build better AI systems.

Join the Free learning community -https://lnkd.in/gyhqiuPG

Reshma Sriraman

Director @lumay.ai | 1M+ Impressions | Helping Students professional to Build Next-Gen AI Agents | Mentor Empowering Students & IT Pros | Passionate About Smart, Scalable SystemsD

Top 11 FREE AI Tools from Google That Can Transform Your Workflow (2026)

While everyone debates AI models…
Google quietly built an entire AI ecosystem.
Not one tool.
Not two.
Eleven powerful tools, many free to start.

If you're a founder, developer, creator, or operator, this stack can dramatically increase your output.
Here’s what you should be using:

🔹 1. Google AI Studio
Test Gemini models, tweak prompts, compare outputs side-by-side.
👉 https://lnkd.in/gDMHwTKz
🔹 2. NotebookLM
Upload documents → get summaries, mind maps, FAQs, quizzes.
Incredible for research and learning.
👉 https://notebooklm.google
🔹 3. Veo (Video Generation)
Generate cinematic videos from text prompts.
👉 https://lnkd.in/gMGcRvZz
🔹 4. Firebase (AI + App Backend)
Build and deploy AI-powered applications fast.
👉 https://lnkd.in/g9pzsZbq
🔹 5. Gemini Ask on YouTube
Chat with YouTube videos. Extract insights instantly.
👉 https://gemini.google.com
🔹 6. Gems in Gemini
Create custom AI assistants with specific roles & instructions.
👉 https://lnkd.in/g2yqAGwb
🔹 7. Gemini in Google Sheets
Generate insights, formulas, summaries directly inside spreadsheets.
👉 https://lnkd.in/gsCNrQKD
🔹 8. Imagen / Nano Banana (Image Editing & Generation)
Create and refine AI images with simple prompts.
👉 https://lnkd.in/gv_hqJXZ
🔹 9. Gemini Live (Streaming AI)
Host live AI chats during meetings or presentations.
👉 https://gemini.google.com
🔹 10. Google App Builder (AppSheet)
Build apps using prompts, minimal coding required.
👉 https://lnkd.in/gWhAnuPR
🔹 11. Google AI Developer Platform
Full developer access to Gemini APIs and AI tools.
👉 https://ai.google.dev

This isn’t just a tool list.

It’s a signal.

Google is building AI infrastructure across:
• Productivity
• Development
• Video
• Image generation
• Research
• Automation
• App creation

The real advantage in 2026 won’t come from knowing one AI tool.

It’ll come from knowing how to combine ecosystems.

Most people are still asking,
“Which AI should I use?”

The better question is:
“How do I build an AI-native workflow?”

♻️ Repost if more builders should know this stack.
Join the learning community -https://lnkd.in/gyhqiuPG

#GoogleAI #Gemini #AITools #AIWorkflow #NoCode #StartupTools #GenerativeAI #AIForBuilders

Proud to Be Part of AI Summit Delhi 2026 🇮🇳
Day 1 was nothing short of extraordinary.
50,000+ participants.
100+ countries represented.
300+ innovation stalls.

And one shared vision shaping the future of AI at scale.
🌍 A Global AI Movement in Action
Walking into the summit, you could feel the magnitude.
This wasn’t just another tech conference.
It was policymakers, enterprise leaders, researchers, founders, and builders  all in one place discussing real-world AI deployment.

KEYNOTES: What I Explored
🔹 Google Cricket AI Experience
Live AI-powered sports intelligence demos  real-time analytics transforming fan engagement.
🔹 Wipro Enterprise AI Use Cases
Automation, decision intelligence, AI in operations  production-grade thinking.
🔹 AI-Powered Surgical Robots
Precision-driven robotic systems supporting medical procedures  the future of healthcare innovation.
🔹 NVIDIA & Partner Ecosystem
Deep conversations around GPUs, GenAI infrastructure, and scalable enterprise deployment.

AI Is Now Embedded Everywhere
What stood out most?
AI is no longer experimental.
It’s operational.
1️⃣ AI in Finance — Fraud detection, risk modeling, algorithmic intelligence
2️⃣ AI in Healthcare — Diagnostics, robotic systems, patient workflows
3️⃣ AI Voice Systems — Real-time conversational agents automating tasks
4️⃣ AI in Governance — Responsible AI and compliance frameworks
5️⃣ AI Infrastructure — Compute, orchestration, and evaluation at scale
We’re clearly shifting from hype → to systems.

🤝 The Networking Was Powerful
Met founders building serious AI systems.
Enterprise leaders scaling GenAI internally.
Researchers pushing model limits.
Every conversation reinforced one thing:
AI is not about prompts anymore.
It’s about architecture, orchestration, and measurable impact.

Grateful to our CEO, Palanisamy Ramasamy, for the trust and opportunity to represent LuMay AI at this incredible summit.
 1.Your vision of building production-grade, enterprise AI systems is what makes moments like this possible.
2.Excited to bring back real insights, meaningful partnerships, and strategic collaborations that truly move the needle.
3.If you're exploring partnerships or collaboration opportunities in AI  let’s connect and build something impactful.

📩 DM me, let’s meet at the summit.
♻️ Repost to help others see what’s really happening in India’s AI ecosystem.

Brij kishore Pandey  Pooja Jain Sudharsanan Ganapathy Aishwarya Srinivasan Brianna Bentler Manthan Patel Manali Kulkarni Rakesh Gohel Mayank A. Om Nalinde  Prem N.   Simran Anand Chandra Sekhar Charlie Alex Cinovoj Rahul Agrawal Neha Jain  Naresh Edagotti  Pallavi Ahuja Surekha Dharaneetharan G D Saurabh Dubey  Gitanjali Pekamwar Renuka M. Ved Vekhande

Director of AI Product Strategy & GTM

AI/ML  Engineer

Director @lumay.ai | 1M+ Impressions | Helping Students professional to Build Next-Gen AI Agents  | Mentor Empowering Students & IT Pros | Passionate About Smart, Scalable SystemsD

Google

Wipro

NVIDIA

Founder & CEO, LuMay AI | 25+ Years Scaling Enterprise AI | Helped Companies Cut AI Execution Time by 85%+ | Agentic AI • Multi-Agent Systems • Voice Agents

LuMay AI

AI Architect | AI Engineer | Generative AI | Agentic AI

Storyteller | Lead Data Engineer@Wavicle| Linkedin Top Voice 2025,2024 | Linkedin Learning Instructor | 2xGCP & AWS Certified | LICAP’2022

Personal Branding Strategist | Coach | 2x TEDx Speaker

Most Followed Indian Woman in AI | AI Entrepreneur | Global Keynote Speaker (150+ talks)| EB1-A Recipient | 1M+ followers across platforms | Startup AI Advisor + Investor

I help owners and coaches start with AI | AI news you can use | Women in AI

I teach AI Agents and Lead Gen | Lead Gen Man(than) | 100K+ students

Data analytics + statistical thinking for real-world decisions | Career clarity coach (Guided 1500+ professionals)

Scaling with AI Agents | Expert in Agentic AI & Cloud Native Solutions| Builder | Author of Agentic AI: Reinventing Business & Work with AI Agents | Driving Innovation, Leadership, and Growth | Let’s Make It Happen! 🤝

Follow for Your Daily Dose of AI, Software Development & System Design Tips | Exploring AI SaaS - Tinkering, Testing, Learning | Everything I write reflects my personal thoughts and has nothing to do with my employer. 👍

Building & Teaching AI Agents to Devs | CS @IIIT

Helping Leaders Adopt Gen AI and Drive Real Value | AI Transformation x Workforce | AI Evangelist | Perplexity Fellow | 20K+ Community Builder

Sr. Software Engineer AI/ML @ Hewlett Packard Enterprise | ex- Bosch | GenAI & Data Science Expert | Educator | 35K+ LinkedIn | Open to brand Collabs | Public Speaker | YouTuber | Machine Learning Engineer | 10K+ Trained

I simplify AI for everyone | 29K+ Followers | Senior AI Engineer | Agentic AI Trainer | Full Stack Gen AI Trainer | Corporate Trainer | College Collaborations

I help you (actually) use AI for content.

I test AI in production so you don’t have to. Building agentic systems that ship.

Azure Data Engineer | Snowflake | DBT | Senior Data Analyst @ Davis Index, Big Data & Cloud Solutions, Python, PySpark, Databricks, MySQL ,Writes to 16K+ , Open to Collaboration

Senior ML Engineer @PayPal | SDE @Microsoft | Marketer | 270k+ @Linkedin | GenAI, Agentic AI, MCP | 10k+ @Whatsapp | ISB | Mentor @Scaler | SDE, AI, ML, Tech, Data Content Creator | DM for Collabs

Data Scientist at Hitloop | Creator @PracticAI | Designing RAG, Agents & LLM Systems

AI | Software Engineering | Writes @techNmak

VP, Product Strategy & GTM | Enterprise AI, Gen AI , Agentic Solutions & Platforms | Digital Transformation | Growth & Scale | Student Mentor | Building High-Performing Teams | CEO & Women in Tech Global Award Winner

Founder, Social Eagle | Building Real-World Capability Through Education & Community

Data Analyst | Python | AI & Tech Enthusiast 🧠 | Content Creator | Sharing AI Tools |Brand partnership | Open for Brand Collaborations & Promotion 🤝60+ Brand Collabs

Data Analyst | Content Creator | Tech × Career Growth | Helping Students Upskill & Brands Go Viral

Storytelling & Narrative for Technical Leaders | Data & AI Builder | Founder, Latency & Latte | Building Community + Mentoring Talent

I (actually) build AI Agents & Workflows | IIIT

Yogesh Shingane

Back from the Impact AI Summit, New Delhi (Feb 18–21) and I’m still processing the scale of what we witnessed.
Over 3,00,000+ participants.
More than 10,000+ stalls.

Global AI leaders.
Policy makers.
Enterprise builders.
Young founders.
Students with startup dreams.

🌍 The Global AI Moment In India
The presence and discussions around leaders like:
Sam Altman
Sundar Pichai
Satya Nadella 
Narendra Modi

made one thing clear:
The world is watching India’s AI trajectory seriously.
This wasn’t symbolic.
It was strategic.

🎤 What the Week Was Really About
Yes, there were powerful keynotes.
Yes, there were policy discussions.
Yes, there was talk about sovereign AI stacks and governance.
But beyond the stage lights, here’s what truly stood out:
🔹 AI infrastructure expansion
🔹 Data center acceleration
🔹 Clean energy for compute
🔹 AI safety frameworks
🔹 Public AI stack deployment
🔹 Local language model innovation
🔹 AI in healthcare, agriculture, education, finance
This wasn’t hype.
This was national-scale orchestration.

 The Real Energy Was in the Corridors
The most powerful moments?
Not just the keynote halls.
But:
• A student explaining their RAG-based regional language assistant
• A founder building AI for agriculture analytics
• An enterprise leader asking about governance and observability
• Conversations around inference cost, latency, and scaling responsibly
That’s when I knew:
India isn’t experimenting with AI.

I kept asking:
Are we building systems that execute workflows 
or just systems that generate text?
Because the future of AI won’t belong to:
“The smartest model.”
It will belong to:
The most deployable, governed, scalable, and observable system.
And this summit showed India is thinking in that direction.

🇮🇳 Why I Felt Proud
Standing there.
 Representing LuMay AI.
 Among 3 lakh+ minds shaping the future of AI.
When conversations shifted to AI in customer operations, healthcare, finance, and public infrastructure  it felt personal.

Because that’s exactly where we build.
At LuMay AI, we design Enterprise-Level AI Call Agent systems that don’t just talk  they execute.
• Handle thousands of concurrent calls
 • Automate bookings & workflow updates
 • Integrate with CRMs & backend systems
 • Maintain low latency at scale
 • Operate with governance & observability

Witnessing the scale, the ambition, the seriousness of deployment 
This isn’t India catching up.
 This is India preparing to define the rules.
The summit was inspiration.
 Now comes execution.
If you’re building serious AI systems  enterprise, agentic, voice, RAG, infrastructure  let’s connect.
Reach out to me or anyone on our team at LuMay AI to collaborate, pilot, or deploy.

♻️  Repost to help others see what’s really happening in India’s AI ecosystem.

LinkedIn OpenAI Google Wipro Palanisamy Surekha Chikoti ZOZOconnect Tejasie Mendonca Ashwani Sharma #LuMayAI Brij kishore Pooja Sudharsanan Aishwarya Manthan Manali  Om Simran Hina #reshmawithai Dr. Yogesh

Stop using Claude like ChatGPT.
You're wasting its most powerful feature.
Claude Plugins (aka Skills) can turn it from a generic AI into a specialist that works exactly how YOU want.
But most people?
They open Claude…
Type random prompts…
Get average answers…
And think “AI is overhyped.”
It’s not.
You’re just using it wrong.
Here’s the shift 👇

Prompts = one-time instructions
Plugins = repeatable systems

That’s the difference between:
• Asking for help
vs
• Building a workflow

Here’s how to actually use Claude Plugins:
Install a Plugin
(Marketing, Sales, Legal, Content, Data pick based on your work)
Type “/” in chat
→ You’ll see structured commands (this is where the real power is)
Give a clear outcome
Example:
“/draft-post for LinkedIn with a strong hook + CTA”
Let Claude follow the system
→ It stops guessing
→ It starts executing

💡 What changes when you do this?
Instead of:
“Write a LinkedIn post…”
You get:
• Defined structure
• Consistent tone
• Built-in frameworks
• Faster output
• Less back-and-forth

💡 Pro tips most people miss:
→ Don’t install 10 plugins
You’ll overwhelm the system and yourself
→ Start with 1–2 that match your daily work
(Content / Sales / Coding whatever you do most)
→ Think in workflows, not prompts
Ask: “What do I do repeatedly?” → turn THAT into a plugin-driven task
→ Combine with Projects
Now Claude remembers your style + executes like a system

🚨 Biggest mistake:
People expect AI to think.
But AI performs best when it follows a system.
Plugins = that system.
The people winning with AI right now aren’t better at prompting.
They’re better at designing how AI should work.
That’s the real skill.
If you're still typing everything from scratch…
You're not using AI.
You're just chatting with it.

♻️ Repost if you’re building serious AI systems in 2026 to help others learn.

Generative AI Learning Roadmap (2026 Builder Edition)
Generative AI isn’t hype.
It’s the new software layer.
If you want to build not just consume here’s your complete roadmap + direct resources.

1️⃣ Foundations (Understand Before You Build)
Generative AI = Probability + Linear Algebra + Optimization + Data.
Master:
• Probability
• Linear Algebra
• Statistics
• Calculus
Without this, transformers feel like magic.

2️⃣ Study Foundation Models
• GPT
• Llama
• Gemini
• Claude
• DeepSeek
Learn architecture, context windows, fine-tuning, inference cost tradeoffs.
Production AI ≠ biggest model.
Production AI = right model.

3️⃣ GenAI Development Stack
• Python
• Hugging Face
• LangChain
• Prompt Engineering
• RAG pipelines
• Vector DBs
Understand orchestration  not just API calls.

4️⃣ Build AI Agents (Where Real Value Is)
RAG → Better Answers
Agents → Real Actions
Agents require:
• Planning loops
• Memory
• Tool use
• Guardrails
• Observability
This is where 80% fail.

📚 Google Learning Series
1️⃣ NotebookLM Intro
https://lnkd.in/g-yyQfB8
2️⃣ Customer Insights with NotebookLM
https://lnkd.in/genaWzxW
3️⃣ NotebookLM for Competitive Edge
https://lnkd.in/gmDU6eZR
4️⃣ NotebookLM “Eat the Frog”
https://lnkd.in/gc-4qZ9W
5️⃣ Easy Content with Gemini
https://lnkd.in/gs8gQSG8
6️⃣ Pro Prompting in Workspace
https://lnkd.in/gQpHhmEV
7️⃣ Personalization with Prompts
https://lnkd.in/gvqaw69U
8️⃣ Gemini Gems – Marketing
https://lnkd.in/g67UER6T
9️⃣ Exec Summaries with Gems
https://lnkd.in/gqKYV-9B
🔟 Gemini TL;DR
https://lnkd.in/g4jUP8ds

📘 Must-Know Repositories
Neural Networks Zero to Hero
https://lnkd.in/gEzFebK7
Awesome Computer Vision
https://lnkd.in/g7jZNFHX
Hands-on LLMs
https://lnkd.in/g7HcxTZz
Prompt Engineering Guide
https://lnkd.in/gJjGbxQr
Awesome Generative AI
https://lnkd.in/g_tmrqTi
AI Agents for Beginners
https://lnkd.in/gK8MiVfv
Advanced RAG
https://lnkd.in/g2ZHwZ3w
Gen-AI Agents
https://lnkd.in/gkMZs-Ks
Made with ML
https://lnkd.in/gER7Stdw

📄 3 Mandatory Agent Engineering Guides
Google — Agent Whitepaper
https://lnkd.in/gdeZKFWe
Anthropic — Building Effective Agents
https://lnkd.in/gtiYgi2r
OpenAI — Practical Guide to Agents
https://lnkd.in/gVyeQXzd

💬 Learning Community- https://lnkd.in/gjDjHn95
Generative AI is not about prompts.
It’s about systems.
Not chat.
Orchestration.
Not experiments.
Production.

♻️ Repost if you’re building serious AI systems in 2026 to help others learn and grow with you. 

#GenerativeAI #AIAgents #AIEngineering #LLMOps #ReshmaWithAI

🚨 Zero → AI Engineer in 6 Months (FREE Roadmap)
Most people don’t fail in AI because they lack talent.
They fail because they skip foundations and never build real systems.
Here’s the complete roadmap from Python → ML → LLMs → Deployment → AI Agents with real resources.

🗓 Month 1  Programming + Math Foundations
Learn:
• Python (OOP, data structures)
• Linear Algebra
• Probability & Statistics
Resources:
• Python – https://lnkd.in/gDk63gzz
• Python basics – https://lnkd.in/gFPBcfXz
• Linear Algebra – https://lnkd.in/gnkyzYEw
• Statistics – https://lnkd.in/gGvEpCjf
Output:
✅ Basic ML scripts
✅ Clean GitHub repo

🗓 Month 2  Machine Learning
Learn:
• Supervised & Unsupervised learning
• Regression, Classification, Clustering
• Model evaluation (precision, recall, bias)
Course:
• Andrew Ng ML – https://lnkd.in/ga3qZdxX
Tools:
• Scikit-learn – https://scikit-learn.org
• Pandas – https://pandas.pydata.org
Output:
✅ End-to-end ML project (data → model → evaluation)

🗓 Month 3  Deep Learning
Learn:
• Neural Networks
• CNNs, RNNs, LSTMs
• Transformers
Courses:
• DeepLearning.ai – https://lnkd.in/grq2mf_7
• fast.ai – https://course.fast.ai
Output:
✅ Trained deep learning model

🗓 Month 4  LLMs & Prompt Engineering
Learn:
• Transformers & Attention
• Embeddings
• Vector search
• RAG systems
Practice:
• OpenAI – https://lnkd.in/giYDekDy
• Claude – https://claude.ai
• HuggingFace – https://huggingface.co
• PromptHero – https://prompthero.com

🗓 Month 5 AI Systems, Tools & Deployment
Learn:
• FastAPI – https://lnkd.in/gNHzfUD3
• Docker – https://www.docker.com
• Made With ML – https://madewithml.com
Industry Tools:
• LangChain
• Ollama
• Weights & Biases
• Git & GitHub
Output:
✅ Deployed AI API
✅ Logging + evaluation

🗓 Month 6  Cloud + Real AI Engineering
Learn:
• AWS – https://aws.amazon.com
• Azure – https://lnkd.in/gt2Zs2bM
• GCP – https://cloud.google.com
Build:
• Recommendation system
• AI Agent (code helper / voice assistant / email summarizer)
• LLM application

 Bonus (From the PDF Roadmap)
✔ Contribute to Open Source (Kaggle, HuggingFace Discord, GitHub)
✔ Build Portfolio using GitHub Pages or Notion
✔ Apply for internships on LinkedIn, Upwork, AngelList
✔ Post your journey: “Day 1 of Learning AI”
Recruiters don’t hire learners.
They hire visible builders.
AI Engineers in 2026 won’t just train models.
They’ll design AI systems.
Your GitHub is your resume.
Your deployed projects are your proof.
Which month are you currently at? 

♻️ Repost if you’re building serious AI systems in 2026  to help others learn.

Join the Free learning community -https://lnkd.in/gyhqiuPG

AI Engineer Study Plan

Hrishikesh Rajput

🚨 90% of people entering AI don’t know the difference between these 3 roles.
They say they want to become an AI Engineer…
But most companies are actually hiring for ML Engineers or LLM Engineers.
If you’re learning AI in 2026, understanding this difference can save you years of confusion.
Here’s the simple breakdown 👇

🟠 ML Engineer
Focus: Building predictive models from data
Typical workflow:
User → Data Collection → Feature Engineering → Model Training → Evaluation → Deployment → Monitoring
What they work on:
• Fraud detection systems
• Recommendation engines
• Forecasting models
• Computer vision models
Core skills:
Python, Pandas, Scikit-learn, TensorFlow/PyTorch, Feature Engineering, MLOps.

🔵 AI Engineer
Focus: Building end-to-end AI applications
Typical workflow:
User → API Layer → Business Logic → Database → Application Layer → Logging & Monitoring
What they build:
• AI chatbots
• AI SaaS products
• Automation systems
• AI powered platforms
Core skills:
APIs, FastAPI, system design, model integration, cloud deployment.

🟢 LLM Engineer
Focus: Building intelligent LLM systems
Typical workflow:
User → Prompt Engineering → Query Writing → Vector Search (RAG) → Agents → Evaluation
What they build:
• AI assistants
• RAG knowledge bots
• AI copilots
• Autonomous AI agents
Core skills:
Prompt engineering, vector databases, RAG pipelines, agent frameworks.

💡 The simple rule:
ML Engineer → Builds models
AI Engineer → Builds AI applications
LLM Engineer → Builds intelligent AI systems
Each path is powerful — but they require very different skills.

♻️ Repost if you’re building serious AI systems in 2026 to help others learn.

10 Resources to Actually Understand How LLMs Work (Not Just Use Them)
Most people use LLMs.
Very few understand them.
If you're building serious AI systems in 2026, you need depth not just prompts.

Here are 10 resources that will change how you see transformers:
1️⃣ Andrej Karpathy  Zero to Hero
Build GPT from scratch in pure Python.
No frameworks hiding the logic.
You’ll understand every tensor.
Link → https://lnkd.in/dXC2XJgR

2️⃣ “Attention Is All You Need” (Original Transformer Paper)
The paper that started modern AI.
Read it slowly. Then re-read it.
Link → https://lnkd.in/dQjcKau7

3️⃣ The Illustrated Transformer
Complex math. Visual clarity.
Best beginner-to-intermediate bridge.
Link → https://lnkd.in/dzEfsUzr

4️⃣ LLMs From Scratch — Sebastian Raschka
Step-by-step GPT implementation in PyTorch.
Free. Practical. Deep.
Link → https://lnkd.in/dMRSvPuJ

5️⃣ Stanford CS224N
The gold standard NLP course.
Lectures + slides + assignments.
Link → https://lnkd.in/d4yG8VyH

6️⃣ Lilian Weng’s Blog
Deep dives on transformers, agents, scaling.
Clear thinking. No fluff.
Link → https://lnkd.in/dBMZVfwg

7️⃣ Hugging Face NLP Course
Tokenization → Fine-tuning → Deployment.
Hands-on end-to-end.
Link → https://lnkd.in/d4ggz8DY

8️⃣ Let’s Build GPT (Karpathy)
2-hour walkthrough.
Explains more than most ML jobs do.
Link → https://lnkd.in/dm3yx32v

9️⃣ Scaling Laws Paper
Why bigger models work.
Math behind GPT-4 era systems.
Link → https://lnkd.in/dANSgcsi

🔟 Anthropic  Transformer Circuits
What attention heads actually learn.
Mechanistic interpretability explained properly.
Link → https://lnkd.in/dviJdYDq

If you’re serious:
Start with #1.
Don’t skip the math.
Build at least one tiny GPT yourself.
Using LLMs makes you productive.
Understanding LLMs makes you dangerous (in a good way).

♻️ Repost if you’re building serious AI systems in 2026  to help others learn.
Follow Reshma S #ReshmaWithAI for architecture-first AI content.

AI Agents vs. Agentic AI: What’s the Difference?

AI systems are evolving, and so are the workflows behind them.

This visual clearly distinguishes between AI Agents and Agentic AI, two systems that are redefining how intelligent systems work, but in very different ways.

🔹 AI Agents Workflow
 These systems follow a triggered process and focus on predefined tasks with specific input-output cycles.

1️⃣ Trigger – Task begins based on user input or event.
2️⃣ Intent Detection – Identifying the task type.
3️⃣ Plan Mapping – Selecting appropriate models and workflows.
4️⃣ Execution – Run predefined processes to achieve the goal.
5️⃣ Result Generation – Process and structure output.
6️⃣ Logging – Record task history for improvement.
7️⃣ Response Delivery – Send results back to the user.

🔹 Agentic AI Workflow
Agentic AI is designed for dynamic, adaptive action. It operates on goals and continuously adapts to its environment and input.

1️⃣ Goal Initiation – Define objectives autonomously or from input.
2️⃣ Context Understanding – Analyze the environment and constraints.
3️⃣ Reasoning & Planning – Create multi-step plans and adjust dynamically.
4️⃣ Autonomous Execution – Perform actions without human input.
5️⃣ Real-Time Monitoring – Track changing conditions, detect deviations.
6️⃣ Next Steps – Decide follow-up actions based on real-time conditions.
7️⃣ Outcome Evaluation – Assess success and adjust for better results.

The difference?

• AI Agents are task-specific and reactive, designed for single-step or predefined processes.
 • Agentic AI is goal-driven, constantly evolving, and adaptive to dynamic changes in the environment.

The future? It’s about Agentic AI, intelligent systems that don't just follow instructions but think, adapt, and evolve.

♻️ Repost if you think Agentic AI will define the next era of intelligent systems.

#AIAgents #AgenticAI #ArtificialIntelligence #AIWorkflow #MachineLearning #IntelligentSystems #AIRevolution

Prompt Engineering Interview Questions (System-Level Guide)
Most people think prompt engineering is about clever wording.

It’s not.
It’s about designing reliable LLM systems.

This 30-question guide goes far beyond basics. It covers everything a serious AI engineer should understand before stepping into interviews or shipping production systems.

Here’s what it actually teaches:
 🔹 What prompt engineering means at a system level
 🔹 Why small wording changes shift token probabilities
 🔹 Temperature vs top-p (and when to use each)
 🔹 Few-shot prompting & in-context learning
 🔹 Prompting vs fine-tuning, when to switch
 🔹 What causes hallucinations
 🔹 How to reduce hallucinations using RAG
 🔹 Enforcing structured JSON outputs
 🔹 What makes a prompt robust
 🔹 How to evaluate prompt performance (accuracy, F1, A/B testing)
 🔹 Context window management
 🔹 Handling long documents with chunking + embeddings
 🔹 What RAG is, and why it beats naive prompting
 🔹 Embeddings & semantic search
 🔹 Prompt injection attacks (and how to defend against them)
 🔹 Role hierarchy (System > Developer > User)
 🔹 Preventing data leakage
 🔹 Chain-of-thought & self-consistency prompting
 🔹 Tool calling in LLMs
 🔹 When to use an agent vs a single prompt
 🔹 Orchestration in LLM systems
 🔹 Debugging bad prompts scientifically
 🔹 Reducing token cost
 🔹 Handling model drift
 🔹 Versioning prompts like code
 🔹 Production metrics that actually matter (latency, cost, hallucination rate, failure rate)

This isn’t a cheat sheet.
It’s a production mindset.
Prompt engineering is no longer about asking better questions.

It’s about building systems that are:
 • Reliable
 • Secure
 • Measurable
 • Scalable

If you're preparing for AI interviews or building LLM products , this framework is essential.
♻️ Repost if prompt engineering should be treated like engineering not guessing.

#PromptEngineering #LLMSystems #GenerativeAI #RAG #AIAgents #AIEngineering #LuMayAI

Prompt Engineering Interview Questions

I Built 700+ Skills for AI Agents  Because Prompts Aren’t Enough.
Everyone is talking about MCP.
But here’s the truth:
MCP connects tools.
Skills create execution.
So I built something serious.

📌 Antigravity Awesome Skills a curated library of 713+ production-grade SKILL.md modules that transform your AI coding assistant into a full-stack digital agency.
Not prompt templates.
Not surface-level hacks.
These are structured, battle-tested capability modules inspired by ecosystems like Anthropic, Vercel, OpenAI, Supabase, and Google unified into one execution layer.

What You Can Actually Do With It
1️⃣ Build real RAG pipelines & LLM-powered systems
2️⃣ Deploy using Docker, AWS Serverless & Vercel
3️⃣ Run security audits & vulnerability scans
4️⃣ Apply production full-stack architecture patterns
5️⃣ Automate TDD, QA & regression testing
6️⃣ Execute growth, SEO & pricing strategy workflows
This is not “AI chatting.”
This is AI operating.

🎯 Designed to Remove Overwhelm
Instead of dumping 700 skills randomly, I grouped them into role-based bundles:
→ Web Wizard
→ Full-Stack Developer
→ Security Engineer
→ DevOps & Cloud
→ OSS Maintainer
You don’t memorize prompts.
You activate roles.

⚙️ Works Across Major Agent Environments
Claude Code
Gemini CLI
Codex CLI
Cursor
GitHub Copilot
Antigravity IDE
OpenCode
AdaL CLI
One command installs everything:
npx antigravity-awesome-skills
Then just say:
“Use @rag-engineer to build a retrieval pipeline.”
“Run @vulnerability-scanner on this codebase.”
Execution happens.

 Why I Built This
Because agents fail in production not due to model limitations —
but because they lack structured capability layers.
Skills create:
• Repeatability
• Reliability
• Scalable execution
And that’s how you move from:
“Cool AI demo”
to
“Enterprise-grade AI system.”
GitHub Repo: https://lnkd.in/d2Kr3aHp

♻️ Repost to empower more developers to build serious AI agents.

The Open Source RAG Stack Nobody Explains Properly.
Everyone says “we built a RAG system.”
But very few understand what a complete production RAG stack actually includes.
Here’s how serious teams architect it 👇

1️⃣ Ingest & Data Processing
This is where most failures begin.
If your chunking, cleaning, metadata tagging, and document parsing aren’t solid your retrieval will collapse.
Tools:
FAISS, Apache Airflow, Apache NiFi, Haystack Pipelines, Elasticsearch KNN.
RAG doesn’t fail because of the LLM.
It fails because of poor data pipelines.

2️⃣ Retrieval & Re-Ranking
Basic vector search is not enough anymore.
Enterprise systems use:
• Hybrid search (BM25 + Dense)
• Re-ranking models (Jina, cross-encoders)
• Context compression
• Query expansion
Retrieval quality > Model size.

3️⃣ Embedding Models
Your embedding choice defines semantic intelligence.
SentenceTransformers, JinaAI, HuggingFace Transformers.
Not all embeddings are equal.
Domain-specific embeddings outperform generic ones in enterprise use cases.

4️⃣ Vector Databases
This is your AI memory layer.
Milvus (scale)
Weaviate (hybrid + schema aware)
PGVector (Postgres native)
Qdrant (fast + production ready)
Chroma (dev friendly)
Vector DB choice affects:
Latency
Cost
Scalability
Multi-tenancy
Security

5️⃣ LLM Frameworks
LangChain, LlamaIndex, Haystack, CrewAI.
But remember:
Framework ≠ Architecture.
Flow engineering, state control, evaluation loops that’s where production reliability comes from.

6️⃣ LLM Layer
Open-source models:
LLaMA
Mistral
Gemma
Phi-2
DeepSeek
In production, model selection is:
Latency vs Cost vs Quality tradeoff.
Bigger isn’t always better.

7️⃣ Frontend & Experience Layer
Next.js
Svelte
Vue
Streamlit
Enterprise RAG is not just backend logic.
UX, traceability, citations, and observability matter.

🚨 What Most People Miss:
• Evaluation frameworks (RAGAS, DeepEval)
• Observability (LangSmith, tracing, token tracking)
• Guardrails & Safety layers
• Access control & permissions
• Cost monitoring
• Feedback loops
RAG is not a feature.
It’s a system.
And in 2026, companies won’t compete on prompts.
They’ll compete on infrastructure design.

At LuMay AI, we focus on building RAG systems that are:
• Governed
• Measurable
• Auditable
• Production-ready
Not demo-ware.
If you're building serious RAG systems, what layer are you optimizing right now?
♻️ Repost if you’re building serious AI systems in 2026  to help others learn.
#RAG #AgenticAI #EnterpriseAI #LLMOps #AIArchitecture #ReshmaWithAI #LuMayAI

🚨 We are launching our first AI Engineering Program.
And here’s the exact roadmap we’re using to train future AI engineers.
Most people don’t fail in AI because they lack talent.
They fail because they skip the foundations and never build real systems.
If you want to become an AI Engineer in 2026, here’s a practical roadmap from Python → ML → LLMs → AI Agents → Deployment.

🗓 Month 1 Programming + Math Foundations
Learn:
• Python (data structures, OOP)
• Linear Algebra
• Probability & Statistics
Resources:
• Python – https://lnkd.in/gDk63gzz
• Python Basics – https://lnkd.in/gFPBcfXz
• Linear Algebra – https://lnkd.in/gnkyzYEw
• Statistics – https://lnkd.in/gGvEpCjf
Output:
✅ Basic ML scripts
✅ Clean GitHub repository

🗓 Month 2 Machine Learning
Learn:
• Supervised & Unsupervised Learning
• Regression, Classification, Clustering
• Model Evaluation (precision, recall, bias)
Course:
• Andrew Ng ML – https://lnkd.in/ga3qZdxX
Tools:
• Scikit-learn
• Pandas
Output:
✅ End-to-end ML project (data → model → evaluation)

🗓 Month 3 Deep Learning
Learn:
• Neural Networks
• CNNs, RNNs, LSTMs
• Transformers
Courses:
• DeepLearning.ai
• fast.ai
Output:
✅ Train and deploy a deep learning model

🗓 Month 4 LLMs & Prompt Engineering
Learn:
• Transformers & Attention
• Embeddings
• Vector Databases
• RAG Systems
Practice with:
• OpenAI
• Claude
• HuggingFace
• PromptHero
Output:
✅ Build your first LLM-powered application

🗓 Month 5 AI Systems & Deployment
Learn:
• FastAPI
• Docker
• ML Experiment Tracking
• AI Application Frameworks
Industry Tools:
• LangChain
• Ollama
• Weights & Biases
• Git & GitHub
Output:
✅ Deploy your first AI API

🗓 Month 6 Cloud + Real AI Engineering
Learn:
• AWS / Azure / GCP
• Model deployment
• Production monitoring
Build:
• Recommendation System
• AI Voice Assistant
• Email Summarizer
• AI Agent
Output:
✅ Production-ready AI system
💡 Reality Check
Recruiters don’t hire learners.
They hire builders.
Your GitHub is your resume.
Your deployed projects are your proof.

We are launching the third batch of our AI Labs & AI Engineering Program.

If you are serious about building real AI systems, AI agents, and production-ready applications, apply here:
👉 https://lnkd.in/gKiWyyVz

Fill the form if you're genuinely interested in starting your AI engineering journey.
AI upskilling is no longer optional.
It’s the skill defining the next generation of engineers.
Which month are you currently at?

♻️ Repost if you’re building serious AI systems in 2026 to help others learn.

AI Training

Top 20 AI Tools You Must Not Miss (2026 Edition)

AI is no longer one tool.

It’s an ecosystem.

This visual highlights 20 powerful AI tools across writing, coding, research, design, voice, learning, and automation, tools that can 10x your productivity if used strategically.

Here’s the stack:
🔹 Writing & Content
 • ChatGPT – AI writing
 • Grammarly – Grammar & editing
 • Quillbot – Paraphrasing
 • BypassGPT – Humanizing AI content
 • Gamma AI – AI presentations

🔹 Design & Creative
 • Microsoft Copilot Designer – AI art generation
 • ElevenLabs – AI voice generation
 • Natural Readers – Text to speech
 • Mubert – Text to music

🔹 Career & Productivity
 • Kickresume – Resume building
 • Replika – Personal AI assistant
 • Otter AI – Meeting transcription & summaries
 • PDF AI – Chat with PDFs

🔹 Development & Tech
 • AskCodi – Coding assistant
 • Hocoos – AI website builder

🔹 Learning & Research
 • Tutor AI – AI learning assistant
 • Doctrina AI – Learning support
 • getStudyPal – Study smarter
 • Google Gemini – Research
 • ChatPDF – Research from documents

This isn’t about replacing skills.
It’s about amplifying them.
The people who win in 2026 won’t be the ones who fear AI.
They’ll be the ones who build AI-powered workflows.

The question is no longer:
 “Should I use AI?”

It’s:
 “Which AI stack fits my role?”

♻️ Repost if more people need to upgrade their tool stack.

#AITools #Productivity #GenerativeAI #AIWorkflow #ChatGPT #AIForWork #AIStack #LuMayAI

10 FREE AI APIs you should be using in 2026 (but most aren’t)
Everyone talks about AI.
Very few actually build with it.

If you're serious about AI in 2026, start here 👇
1️⃣ Google Gemini (AI Studio)
→ Multimodal (text, image, video)
→ 1M token context

2️⃣ Hugging Face Inference API
→ 900K+ models
→ Perfect for NLP + experiments

3️⃣ Groq Cloud
→ Ultra-fast inference
→ Best for real-time AI apps

4️⃣ OpenRouter
→ One API → many models
→ OpenAI-compatible

5️⃣ Cloudflare Workers AI
→ Run AI at the edge
→ Serverless + scalable

6️⃣ Together AI
→ Open-source LLMs (Llama, Qwen)
→ Free dev credits

7️⃣ SmartCall
→ AI voice agents
→ Sales + support automation

8️⃣ Replicate
→ Image + video AI
→ Simple prompt APIs

9️⃣ Mistral AI
→ Lightweight + fast
→ Production-ready

🔟 NVIDIA NIM
→ GPU-accelerated inference
→ Enterprise-grade deployment

📌 Why this matters:
The gap is no longer “who knows AI”
It’s “who can BUILD with AI fast”

These tools remove:
❌ Infrastructure headaches
❌ Model training costs
❌ Time-to-market delays
And give you:
✅ Speed
✅ Scalability
✅ Real-world deployment power

If you're building AI products, agents, or automations this is your stack.
♻️ Repost if you’re building serious AI systems in 2026 to help others learn.

TOP FREE API LIST

🚨 This might be the most complete Claude Code guide on the internet right now.
Not kidding.
Everything in ONE place.
No fluff. No scattered docs. No confusion.

This doc shows exactly how 👇
⚡ How to use Hooks to automate workflows
 ⚡ How to build multi-agent systems (not just single prompts)
 ⚡ How to leverage MCP tools for real-world integrations
 ⚡ How to create custom commands for repeatable execution
 ⚡ How to handle observability, debugging & scaling
 ⚡ How to move from experiments → production-ready AI

💡 Reality check:
Most people think they “know AI”
 But they’ve never built anything beyond chat.
This guide changes that.

It’s the difference between:
 👉 Playing with AI
 vs
 👉 Engineering AI systems

If you’re serious about:
 ✔ AI Agents
 ✔ RAG pipelines
 ✔ Production workflows
 ✔ Real-world deployments

You NEED this.
📩 How to get it:
1️⃣ Connect with me
 2️⃣ Comment “CLAUDE”
 3️⃣ Repost for early access (I’ll prioritize those first)
I’ll send the full guide directly in your DM.

⚠️ Don’t just consume AI content.
 Start building.
#ClaudeAI #AIAgents #AIEngineering #GenAI #LLM #AgenticAI

10 AI Tools That Will Make You 10x More Effective in 2026

AI isn't just for tech giants, it's for professionals in any field looking to supercharge productivity.

1️⃣ Writing & Knowledge Work
• ChatGPT – https://chat.openai.com/
• Claude (Anthropic) – https://www.anthropic.com/
• Perplexity (AI research engine) – https://www.perplexity.ai/
• GrammarlyGO – https://www.grammarly.com/
• Notion AI – https://lnkd.in/g-QEbj4b

2️⃣ Design, Media & Creative AI
• Canva Magic Studio – https://www.canva.com/
• DALL·E (OpenAI) – https://lnkd.in/ggFRjcGn
• Midjourney – https://lnkd.in/gKkfqSEr
• Runway – https://runwayml.com/
• Adobe Firefly – https://lnkd.in/gtVg6Fwf

3️⃣ Programming & AI Development
• GitHub Copilot – https://lnkd.in/g2imfc_e
• Replit AI – https://replit.com/
• Cursor – https://www.cursor.ai/
• Claude Code – https://www.anthropic.com/

4️⃣ Workflow & Automation
• LangGraph – https://langgraph.com/
• Microsoft AutoGen – https://lnkd.in/gXGqBPww
• Zapier AI – https://zapier.com/ai
• n8n – https://n8n.io/

5️⃣ RAG & Vector + Retrieval Tools
• Pinecone – https://www.pinecone.io/
• Weaviate – https://weaviate.io/
• ChromaDB – https://www.trychroma.com/
• LlamaIndex – https://lnkd.in/g5wt6psa

6️⃣ Voice & Conversational AI
• Deepgram – https://deepgram.com/
• ElevenLabs – https://elevenlabs.com/
• Retell AI – https://retell.ai/
• Vapi – https://www.vapi.ai/

7️⃣ Data & AI Infrastructure
• Snowflake – https://www.snowflake.com/
• Databricks – https://databricks.com/
• Kafka (Apache) – https://kafka.apache.org/
• Microsoft Fabric – https://lnkd.in/gsnyqJTB

8️⃣ Evaluation, Monitoring & Safety Tools
• LangSmith – https://www.langsmith.com/
• Ragas – https://www.ragas.ai/
• DeepEval – https://deepeval.ai/
• Giskard – https://giskard.ai/

9️⃣ Customer Support & Revenue AI
• Zendesk AI – https://lnkd.in/gWSkhChf
• Intercom AI / Fin – https://www.intercom.com/
• HubSpot AI Tools – https://lnkd.in/gsS5bieW

🔟 Business Intelligence & Analytics
• Power BI + Copilot – https://lnkd.in/g4_iyz9W
• Tableau GPT – https://www.tableau.com/
• Kensho – https://www.kensho.com/
• MonkeyLearn – https://monkeylearn.com/

📌 Quick Tips for Choosing Tools in 2026
For building systems & products → Start with RAG + Vector + Workflow tools
For automation at scale → Combine Zapier AI + n8n + AutoGen
For enterprise analytics → Use Snowflake + Databricks + BI tools

♻️ Repost if you’re building serious AI systems in 2026  to help others learn
#AI #AITools #Automation #RAG #LLMOps #Productivity #AI2026 #TechTools #FutureOfWork

🚨 AI Skills for the 2026 Job Market: The Future Is Now!

As we race toward 2026, the job market will be shaped by AI. The key to staying ahead? Mastering the essential AI skills that will define the future of work.

Here are 6 must-have AI skills for 2026:
1️⃣ Workflow Automation: Efficiency is the new edge. Learn to connect tools like Slack, Notion, and Gmail to automate processes, freeing up valuable time.
Tools: Bardeen, Make, Zapier
2️⃣ Prompt Engineering: AI thrives on curiosity. Learn how to craft precise prompts that yield actionable insights and streamline tasks. 
Tools: ChatGPT, Claude, Gemini
3️⃣ AI Content Generation: Fast, consistent creators win. Learn how to use AI to write, repurpose, and scale your content creation, helping you stay ahead in the content game. 
Tools: Descript, OpusClip, ElevenLabs
4️⃣ AI Tool Stacking: Linked tools = smarter work. Build a seamless workflow using tools like Notion, ClickUp, and Airtable that communicate to maximize your productivity. 
Tools: Notion AI, ClickUp AI, Airtable AI
5️⃣ Multimodal AI: Voice to text, images to data, and everything in between. Multimodal AI makes complex tasks simpler. 
Tools: Gemini, Claude 3.5, OpenAI Vision
6️⃣ AI Agents: Build your own personal "digital assistant" to automate research, outreach, or any task that can be handled digitally. 
Tools: CrewAI, LangChain, OpenAI Agents

The future is about mastering these AI skills to stay ahead in an ever-evolving job market.

♻️ Repost to help your network move beyond traditional AI skills and start thinking in future-proof, cross-disciplinary systems.

#AIFuture #AIJobSkills #AIRevolution #WorkflowAutomation #PromptEngineering #AIContentGeneration #ToolStacking #MultimodalAI #AIAgents #ReshmaWithAI #AI2026 #ArtificialIntelligence #CareerSuccess #Innovation #LuMayAI

Top AI Language Models Shaping 2026 (With Official Links)

The AI race is no longer about one dominant model.
It’s a multi-player ecosystem — open-source + enterprise + multimodal.

Here’s the full landscape 
🔹OpenAI
Models: GPT-4o, GPT-4o Mini, GPT-4 Turbo, GPT-4, o1 series, GPT-3.5 Turbo
https://openai.com
https://chat.openai.com
https://lnkd.in/giYDekDy

🔹 Anthropic (Claude)
Models: Claude 3 Opus, Claude 3.5 Sonnet, Claude 3 Sonnet, Claude 3 Haiku
https://www.anthropic.com
https://claude.ai

🔹 Google DeepMind (Gemini)
Models: Gemini 1.5 Pro, 1.5 Flash, 1.0 Ultra, 1.0 Pro, Gemini Nano
https://deepmind.google
https://gemini.google.com
https://ai.google.dev

🔹 Meta AI (Llama)
Models: Llama 3.1 (405B, 70B, 8B), Llama 3, Llama 2
https://ai.meta.com
https://llama.meta.com

🔹Mistral AI
Models: Mixtral 8x22B, Mixtral 8x7B
https://mistral.ai

🔹xAI (Grok)
Models: Grok-2, Grok-1.5V
https://x.ai
https://grok.x.ai

🔹 NVIDIA (Nemotron)
Models: Nemotron-4 340B, 15B, 8B
https://lnkd.in/gPT3CACJ
https://build.nvidia.com

🔹AI21 Labs
Models: Jamba, Jurassic-2 Ultra, Mid, Light
https://www.ai21.com

🔹DeepSeek
Models: DeepSeek-V2, V1, DeepSeek-Coder-V2, DeepSeek-LLM
https://www.deepseek.com

What This Means

We are no longer in a “single model” world.

We’re in a:

• Multi-model ecosystem
• Open vs closed model competition
• Code-specialized vs reasoning-optimized systems
• Enterprise vs open-source deployment era

The smart question in 2026 is not:
“Which model is best?”

It’s:

“Which model fits my use case, cost, latency, reasoning depth, and deployment architecture?”

The builders who understand the landscape win.

♻️ Repost if professionals should know the full AI model ecosystem.

#LLM #GenerativeAI #AIModels #ArtificialIntelligence #AIAgents #OpenSourceAI #TechTrends #AI2026

taplio

The Battle

Shushant Lakhyani

Reshma S

Followers

Posts

Engagements

Likes

Performance ScoreShushant Lakhyani's LinkedIn Performance

Performance ScoreReshma S's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Shushant Lakhyani

Reshma S

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Shushant Lakhyani's LinkedIn Performance

Performance ScoreReshma S's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreShushant Lakhyani's LinkedIn Performance