Let AI do the heavy lifting for your Revenue.

Most sales teams still operate like it's 2019: manual prospecting, messy CRMs, and reps spending 80% of their time on tasks that don't make deals.Meanwhile, winning companies have built something different.They've built GTM engines. Systems where AI handles the research, the enrichment, the cleaning, the scoring, and the routing, so their team focuses on what actually builds pipeline: conversations.That's what I do.I'm the founder of TC9, where we design and build AI-powered GTM engines for B2B companies. We connect the dots between your data, your CRM, and automate the 80% that shouldn't need a human.But my work doesn't stop at execution.In my content, you'll find: → How AI is reshaping the way companies sell→ Which strategies are working right now (and which are already obsolete)→ The systems, tools, and frameworks behind modern revenue teamsIf you're a founder, VP of Sales, or revenue leader trying to figure out what the next era of GTM looks like: you're in the right place.

Jérémy Grandillon

OpenClaw hit 100,000 GitHub stars in 3 weeks.
OpenAI just hired its creator to lead their AI agent division.

Here's why every GTM team should be paying attention.

OpenClaw is an open-source AI agent that runs 24/7 on your machine. 

It connects to WhatsApp, Slack, your CRM, your email. 
Anything.

It doesn't just answer questions. It executes tasks autonomously while you sleep.

It has persistent memory, a built-in scheduler, and anything to use your entire tool stack.

ChatGPT waits for you to open a tab. 
OpenClaw checks what needs doing, and does it.

Now think about what an SDR actually does all day.

→ Research a prospect: 10 min
→ Log info into HubSpot: 5 min
→ Write a personalized email: 10 min
→ Follow up on stale deals: 15 min
→ Repeat 30x

For every hour of selling, nearly two hours go to admin, research, and data entry.

OpenClaw can already scrape a company's website, pull LinkedIn data, summarize recent news, draft personalized outreach, update your CRM, and schedule follow-ups. 

All from a single message.

This isn't replacing SDRs. It's removing the 60% of the job that never required a human.

The reps who adopt this will outperform entire teams. 
The ones who ignore it will spend their days doing work a $20/month agent handles better and faster.

Honest caveat though: it's early. 

Security researchers flagged real concerns. 
Exposed instances, prompt injection risks, etc. 

Not enterprise-ready (yet).
But the trajectory is obvious.

We're 6 to 12 months from sending one message to an AI agent: "Build me a campaign targeting Series B fintech companies in Europe." 

And it researches the companies, finds the contacts, writes the sequences, schedules the sends, monitors replies, and books meetings.

The full SDR workflow. Automated. End to end.

Sam Altman said it himself: "The future is going to be extremely multi-agent."

I'm considering installing OpenClaw, connecting it to a real GTM stack, and putting it to the test. 

Would you be interested in such an experiment? 
Let me know in the comments! 🦞

Can OpenClaw replace Sales Teams

Claude Code is becoming inevitable.

But 90% of sales and marketing teams haven't touched it yet.

I spent weeks testing resources, courses, and repos to find what actually matters for revenue teams.

Here's the full list:

(Save this post. You'll come back to it!)

📖 Official Anthropic Resources

→ Claude Code Docs & Installation (the starting point)
🔗 https://lnkd.in/erW_rUrD

→ Claude Code GitHub (open-source repo, plugins, community contributions)
🔗 https://lnkd.in/eNS_huU6

→ Claude Code Best Practices (CLAUDE.md setup, custom commands, multi-instance workflows)
🔗 https://lnkd.in/e2w8tCAe

→ Context Engineering for AI Agents (why context structure matters more than the model)
🔗 https://lnkd.in/es5HWkH7

→ MCP (Model Context Protocol) (connect Claude Code to your CRM, enrichment tools, and data sources)
🔗 https://lnkd.in/eWaxd7PQ

→ Claude Code in Action (Free, official Anthropic course). Context management, custom commands, MCP servers, planning modes.
🔗 https://lnkd.in/ejb4sn2n

→ Claude Use Cases for Marketing & Sales
🔗 https://lnkd.in/e_ZebcAc

🎧 Watch & Listen

→ AI Engineer: Barry Zhang and Mahesh Murag from Anthropic
🔗 https://lnkd.in/eZN9uuGi

→ Greg Isenberg + Ras Mic: "The Most CLEAR Explanation of Claude Code"
🔗 https://lnkd.in/eqGgVT9c

🛠️ Repos, Skills & Tools

→ Anthropic Official Skills (69K+ stars). Docx, pptx, xlsx, PDF creation, and more.
🔗 https://lnkd.in/eCpuP6HJ

→ Superpowers by obra (9K+ stars). Brainstorming, spec writing, TDD, subagent-driven development. Turns Claude Code into an autonomous engineering teammate.
🔗 https://lnkd.in/eZib-p7F

→ Claude Code Guide by Cranot (2,360+ stars). Most complete community reference. Auto-updates every 2 days.
🔗 https://lnkd.in/eQYiAVKu

→ Awesome Claude Code. The definitive community list. Slash commands, CLAUDE.md files, agents, skills, hooks, plugins.
🔗 https://lnkd.in/eXzWUxgw

→ Skills.sh. 55,000+ installable skills. Search marketing-relevant ones like copywriting (12K+ installs), SEO audit (17K+), social content (7K+).
🔗 https://skills.sh/

→ AI Templates (aitmpl.com). 30+ pre-built Claude Code agents, skills, commands, hooks, and MCP configs.
🔗 https://lnkd.in/eRgRPK_s

→ OneWave-AI Skills Collection. 100 production-ready skills for sales, business automation, content creation.
🔗 https://lnkd.in/eam8FR9k

I'm already using Claude Code to build custom tools and workflows for GTM.

The GTM teams that learn this now will have a 12-month head start.

What's the first GTM workflow you'd build with Claude Code?

Most salespeople send one email and move on.

Lemlist analyzed hundreds of thousands of outbound emails on their platform.

The pattern is clear: multi-touch sequences consistently outperform single sends.

Not by a little. By a lot.

Here's what's actually happening when you follow up:

→ Your prospect gets 100+ emails a day. 
One email is invisible. Three emails make you exist.

→ Timing is random. 
Your first email lands during a board prep. Your third lands when they're actively looking for a solution.

→ Following up isn't "being pushy." 
It's removing friction. Most people don't ignore you because they're not interested. They ignore you because they forgot.

The reps I see booking the most meetings all have one thing in common.

They follow up more than their competitors.

Not with "just checking in" emails. With new angles, new value, new reasons to reply.

The fear of being annoying costs more pipeline than persistence ever will.

What's your follow-up sequence look like right now? 2 emails? 5? More?

4 Reasons Why You Need Follow-Up Emails

Most sales teams are chasing the latest AI feature.
Meanwhile, fundamentals are broken.

No tool will save you if you can't answer three questions:

→ How am I relevant to my targets?
→ How do I reach out at the right time?
→ Is my technical setup delivering my messages?

Everything in outbound reduces to these three variables.

The rest is execution.

And execution goes wrong when you stack 5-6 tools and lose yourself in complexity.

Or, you can focus on one good tool that covers it all.

I’ve been using lemlist for almost 10 years, and I consider it one of the best tools in the outbound stack.

Here's what makes it work:

→ Built-in lead database. 
When I define my ICP, I build the list directly inside the tool. No exporting CSVs. No enrichment subscriptions. Just one workflow.

→ Signal detection. 
Job changes, website visitors, LinkedIn activity. You know when the timing is right before you hit send.

→ AI features that make sense.
Automatically cleaning names, classifying leads in relevant buckets, company latest news. No AI for the sake of it, only what you’d have done anyway. 

→ Multi-channel sequences. 
Email, LinkedIn, WhatsApp. Deliverability monitoring, warm-up included, all channels in one workflow.

Get the strategy right first. 
Then pick the tool that matches your resources.

After that, you'll have plenty of time to evaluate the next shiny feature the lead gen bubble is selling you.

What does your current outbound stack look like?

Stop overcomplicating outbound - Fix the basics

8 years of cold email. Many things changed.

But 3 principles never moved.

I've sent millions of cold emails since 2018.

Open rates went from easy to earn to nearly impossible if you skip the fundamentals.

Here's what still works, no matter what Gmail or Outlook throw at you:

→ Targeting
If you're emailing anyone outside your ICP, you're burning domains for nothing. Tight lists convert. Broad lists destroy your sender reputation.

→ Infrastructure 
SPF, DKIM, DMARC, domain rotation, inbox warming. In 2018, I set this up manually. Today, it's too complex and too costly to DIY. 

I use Mailpool for all my email infrastructure. Domains, inboxes, spam checks, Google Workspace, Microsoft 365, and SFTP. All handled. No going back.

→ Messaging 
Landing in the primary inbox is step one. Getting a reply is what keeps you there. Low volume. No spammy words. Relevant copy only. Replies signal to Gmail that you're a legit sender.

Most teams fail at cold email because they skip straight to copywriting.

Copy doesn't matter if your emails land in spam.
Deliverability doesn't matter if you're emailing the wrong people.

The order matters: targeting → infrastructure → message.

Get these 3 right, and cold email still outperforms every other outbound channel in cost per meeting.

And I highly recommend using a trustworthy provider like Mailpool to handle your infrastructure!

Which of these 3 is the hardest to get right for your team?

3 key principles after 8 years of cold email

I used to be "the cold email guy."

For years, that was my identity. Automating prospecting. Optimizing deliverability. Building sequences that actually get replies.

I was good at it. But at some point, I started feeling stuck.

I was solving the same problems over and over. Open rates. Reply rates. Infrastructure fixes. The tactics kept evolving, but the scope stayed small.

I wasn't thinking about revenue. I was thinking about replies.

And I kept asking myself: is this it?

The companies I admired were doing more. They had marketing, RevOps, sales, and data teams all working toward the same goal. Every piece of the revenue engine was in place.

But here's what I noticed: those pieces weren't connected. They were running in parallel, not as a system.

Then 2023 happened.

AI. Clay. 

AI-powered enrichment. Intelligent automation. Suddenly the tools existed to do something new.

Not just automate prospecting. But connect everything.

Signals feeding scoring. Scoring feeding routing. Routing feeding outbound, ads, and nurture. One system. One data layer. Every motion working together.

That's when it clicked.

The winning companies had all the pieces. What they didn't have yet was the glue.

AI + automation wasn't just the next chapter of outbound. It was the way to connect what the best companies were already doing separately.

So I made a choice.

I stopped positioning myself as an outbound specialist and started thinking like an engineer.

Not just "how do I send better emails?"
But "how do I build a revenue system where every piece compounds?"

→ I started mapping 100+ buying signals
→ I connected outbound, marekting, and CRM
→ I built scoring models that route leads automatically

Most importantly, I stopped thinking in campaigns and started thinking in systems.

Cold email is still in the playbook. But it's one play in a system of 75.

The real game is GTM Engineering. Building the glue that makes revenue engines work.

If you're feeling stuck in one skill, one channel, one identity, maybe it's time to zoom out.

The best version of your work might be bigger than what you're known for today.

What skill are you evolving beyond right now?

The SDR role isn't dying. 
It's being redesigned.

Humans doing robot work was never the play.

Sales is hard. I've lived it for years. 
But hard doesn't have to mean miserable.

And your growth doesn't have to suffer either.

The GTM Engine changes everything. 
I've seen it firsthand.

Here's what a day in the life of an SDR should look like in 2026:

𝟵:𝟬𝟬 𝗔𝗠 
❌ 12 open tabs. Manual scraping. Copy-paste chaos. 
✅ You log in. Warm leads are already waiting.

𝟭𝟬:𝟯𝟬 𝗔𝗠 
❌ LinkedIn + Google detective work. 
✅ Intent data is enriched, scored, and sorted for you.

𝟭:𝟬𝟬 𝗣𝗠 
❌ Staring at a blank screen, writing cold emails from zero. 
✅ Smart outreach is drafted. You refine. You don't rebuild.

𝟯:𝟬𝟬 𝗣𝗠 
❌ Manual follow-ups falling through the cracks. 
✅ Behavior-based triggers handle it. CRM stays clean.

𝟱:𝟯𝟬 𝗣𝗠 
❌ 40 touchpoints. 1 decent conversation. Soul-crushing. 
✅ Fewer hours. Better conversations. Real momentum.

Same title on the business card. 
Completely different reality behind it.

AI isn't here to replace SDRs. 
It's here to cut through the noise that was burning them out.

♻️ Reshare if this resonates. 
➕ Follow Jérémy Grandillon for more!

SDR Life Before VS After Automation

SDRs don't fail because of effort.
They fail because of infrastructure.

Most SDR teams spend 80% of their time on research, CRM updates, and admin.

The top-performing ones spend 80% on conversations and strategy.

Here's what separates them:

→ Lead research: 
Manual tab-switching vs. automated enrichment through Clay or Builtwith.

→ Personalization: 
Writing every email from scratch vs. AI-generated messaging based on intent signals.

→ CRM hygiene: 
Repetitive manual updates vs. auto-synced workflows in HubSpot or Salesforce.

→ Targeting: 
Static lists with zero context vs. signal-qualified prospects scored by job changes, funding rounds, tech installs.

→ Onboarding: 
Weeks of shadowing vs. prebuilt sequences and playbooks ready on day one.

The SDR role isn't dying.

But the SDR operating system is being completely rebuilt.

What's the one manual task your SDRs still waste the most time on?

I just made our entire GTM Engineering Playbook free. 20+ pages. 300+ operational assets. 

Everything we use to build signal-based revenue engines for B2B companies.

After 8+ years in Sales, Marketing, and RevOps, every framework, scoring model, database, and workflow we run lives inside this playbook.

We use it to:
→ Define TAMs and qualify accounts at scale 
→ Detect 1st, 2nd, and 3rd party buying signals
→ Score and route leads to the right channel
→ Launch outbound plays triggered by real-time signals
→ Build entire GTM motions from audit to full speed

102 signals. 75 plays. 9 workflows. 300+ ready-to-use assets.

Here’s what’s inside:

1️⃣ Signal Detection

102 intent signals mapped to source, strength, and response window
82 scraper triggers for automated signal capture via Apify and Phantombuster
3-layer signal taxonomy: 1st party, 2nd party, 3rd party

2️⃣ Lead Scoring & Routing

Dual-axis scoring framework: Account Score + Lead Score on a 1-10 scale
Lead Treatment Matrix that routes leads to 6 outreach channels automatically
6 AI qualification prompts with JSON scoring rubrics ready for Clay

3️⃣ Outbound Execution

75 ready-to-execute outbound plays organized by funnel stage and effort level
6 day-by-day cadence templates with message frameworks and benchmarks
Complete cold email infrastructure guide: domains, DNS, warm-up, deliverability

4️⃣ Automation & Implementation

9 end-to-end automation workflows with trigger logic and routing rules
90-day implementation roadmap: from discovery to fully operational in 12 weeks
ROI calculator with formulas, benchmarks, and leadership-ready reporting

I know, that's a lot. 

Every piece compounds. 
Your signals feed your scoring. 
Your scoring feeds your routing. 
Your routing feeds your outbound. 
Your analytics extract what converts and feed it all back.

And the good news is that we'll keep updating it as we experiment new plays.

(Claude Code is coming). 

This is the exact methodology we deliver to clients. Now it’s free.

→ Connect with me
→ Comment “GTM”

I’ll send it straight to your DMs.

The SDR role isn't disappearing. It's splitting in two.

One path leads to GTM Engineering.
The other leads to burnout.

Most SDR teams still run the old playbook.
Manual lead research. Static sequences. Activity metrics.
Hours spent on data entry instead of selling.

That model is collapsing.

The teams winning right now look completely different.

→ They use Clay to enrich leads from 10+ sources automatically.

→ CRM updates itself through HubSpot workflows and system triggers.

→ Outreach adapts in real time based on intent signals, not arbitrary cadences.

→ Follow-ups run on autopilot until human judgment is actually needed.

One GTM Engineer replaces the chaos of 7 disconnected tools with a single orchestrated system.

The shift isn't AI replacing SDRs.

It's AI removing everything that was never selling in the first place.

Lead research. Data entry. Sequence management. Activity logging.

That was 70% of an SDR's week. Now it's zero.

What's left is the work that actually moves pipeline.
Strategic conversations. Pattern recognition. Creative problem-solving.

The SDRs who adapt become the most valuable people on the revenue team.

The ones who don't get outpaced by a Clay table and 3 Zapier automations.

What's the first part of your outbound workflow you'd hand off to automation tomorrow?

Clay just launched Ads. 
And most people will miss why this matters.

Here's the short version: 

You can now build ad audiences directly from your CRM data and buying signals, then sync them to LinkedIn, Meta, and Google ads.

Same enrichment engine that powers your outbound. Now powering your paid media.

Let me break down the workflow:

→ Pull a high-intent list from your CRM
Not a generic audience. Your actual pipeline. Your actual target accounts.

→ Layer Clay's enrichment on top
Job changes, funding rounds, tech stack signals, website visits. The same data you already use for outbound.

→ Clay enriches contacts 
Emails and identifiers to maximize match rates. They're claiming up to 95% on LinkedIn and 65% on Meta. Way above standard CRM-to-ads sync.

→ Push those audiences directly to LinkedIn, Meta, or Google. One sync. No CSV exports. No manual uploads.

But here's where it gets interesting.

You can target the exact accounts your sales team is working. Not lookalikes. The actual people.

You can exclude customers, employees, and out-of-ICP contacts dynamically.

You can shift budget based on live intent signals. 
Tier 1 accounts on your pricing page: they see your ads first.

This is CRM-powered precision advertising built on the same engine that runs your outbound.

And this is exactly why I keep saying GTM Engineering is not just about sales automation.

The same data layer that powers your lead scoring, your sequences, your CRM hygiene now also powers your ad targeting. 

Same signals. Same enrichment. Same logic. Applied across channels.

When your sales team works 200 high-intent accounts and your marketing team runs ads to a completely different audience, you're burning money. 
Clay Ads makes those two motions run on the same data for the first time.

For teams that already have GTM automation in place, this is an immediate multiplier. You're extending your existing system into a new channel with zero additional data work.

For teams that don't... the gap just got wider.

Clay keeps shipping features that prove the same thesis: GTM is a system, not a set of disconnected tools.

What channel would you connect to your CRM data first if match rates were actually reliable?

If you're still sending cold emails from 2-3 inboxes in 2026, you're landing in spam.

Spam filters got brutal last year.

Blasting hundreds of emails from a single domain gets you flagged in days.

The fix is to scale horizontally.
More domains. More inboxes. Lower volume per inbox.

But setting this up manually through Gmail or Outlook is expensive, slow, and a technical mess.

You don't want to deal with SPF, DKIM, DMARC, and all the funky letters on your own.

That's why I use Mailpool for my clients and my own outbound.

Here's the setup in 3 steps:

→ Connect your domains (or buy them directly). 
DNS setup is guided. No more guessing which TXT record goes where.

→ Spin up inboxes across Gmail, Outlook, and SMTP. 
Mix providers for better deliverability and keep volume low per inbox. 
This is what actually keeps you out of spam.

→ Plug into your favorite outreach tool. 
Mailpool connects with most cold email platforms, so you don't rebuild your workflow from scratch.

The whole thing takes minutes, not days.

The difference between a clean infrastructure and a messy one is the difference between 40% open rates and landing in junk.

I've been in the cold email game for years, and I'm glad I found a provider I can trust. 

I definitely recommend checking out Mailpool for the best infrastructure!

Your CRM is quietly draining your pipeline.

Not because the tool is broken.
Because nobody owns what's inside it.

I've audited dozens of CRMs. The pattern is always the same.

→ 30-40 of contacts have no valid email.
Enrichment ran once, 18 months ago. Never again.

→ Lead routing is based on fields nobody updates.
Reps get assigned accounts they've never touched. Territories overlap. Deals fall through the cracks.

→ Duplicates everywhere.
Same company, 4 records, 3 owners, zero accountability.
The "source of truth" is a source of confusion.

→ Pipeline reviews built on stale data.
Forecasts are fiction. Leadership makes decisions based on numbers that were wrong weeks ago.

The real cost isn't inefficiency.
It's the deals your team never even sees.

A dirty CRM doesn't just slow you down. It makes automation impossible.

You can't build AI workflows, lead scoring, or signal-based outreach on top of garbage data.

The companies shipping real GTM automation right now all started the same way.

They fixed the foundation first.

What's the first thing you'd clean up in your CRM if you had a full week to dedicate to it?

Pushy selling is the fastest way to kill pipeline.

I've seen outbound teams burn through hundreds leads a month with zero results.

Not because the leads were bad.
Because every touchpoint screamed "BUY NOW."

Buyers don't respond to pressure. They respond to psychology.

Here's what actually moves deals forward:

→ Reciprocity 
Give before you ask. Share a relevant benchmark, a teardown, a custom insight. Our best-converting sequences all start with value, never a pitch.

→ Social proof 
"We helped 40+ B2B SaaS companies cut cost-per-meeting by 60%" hits harder than "we're the best at outbound." Peer wins beat promises every time.

→ Loss aversion 
Quantify the cost of doing nothing. "You're spending €18K/month on SDRs generating 12 meetings" is more powerful than any feature list.

→ Micro-commitments 
Don't ask for a 30-min call on the first touch. Ask for a reaction. A reply. A small yes that opens the door to a bigger one.

→ Authority
Credentials and case studies close more than objection-handling scripts. Be the advisor buyers trust, not the seller they avoid.

→ Emotional anchoring 
Start with their goal, not your product. Tie the solution to where they want to be before you address what's broken.

Most outbound fails because it leads with pressure instead of trust.

Trust, logic, and emotion close deals. 

Sequences built on psychology outperform brute-force volume every single time.

What's the one psychological trigger that works best in your outbound sequences?

Most sales teams are still hiring their way out of problems.

More SDRs. More seats. More fixed costs.
Then wondering why margins shrink and turnover spikes.

Here's what the shift actually looks like:

The legacy playbook:
→ 12-month contracts on tools nobody fully uses.
→ 15 SDRs grinding 200 calls/day against outdated lists.
→ 40% annual turnover. Constant ramp cycles.

The modern playbook:
→ 1-2 GTM Engineers replacing entire outbound teams.
→ Pay-as-you-go stack: Clay, enrichment APIs.
→ Automated lead scoring, routing, and sequencing.
→ Pipeline grows. Headcount doesn't.

The difference isn't "working smarter."
It's architectural.

One model scales with people.
The other scales with systems.

I've seen teams cut outbound costs by 60% while tripling qualified meetings. Not by optimizing scripts. By rebuilding the engine underneath.

The companies pulling ahead right now aren't the ones with the biggest sales floors.
They're the ones where a single GTM engineer runs what used to take a team of 10.

What's the first thing you'd replace with automation in your outbound stack?

The best automation in the world is worthless if your CRM is dirty.

You can have the best Clay workflow.
The best HubSpot scoring model.
The best outbound sequence.

If the data feeding it is wrong, the whole system loses its impact.

Same thing with AI.

A perfect prompt with garbage context gives you garbage output.
An agent connected to an unenriched CRM is an agent spinning its wheels.

The real lever isn't the tool.
It's the quality of what feeds it.

→ Data enriched in near real-time
→ Standardized fields
→ Duplicates eliminated
→ Routing built on reliable information

When all of that is clean, every layer you add (workflow, agent, scoring) runs at full power.

Otherwise, you're stacking tools on broken foundations.

What's the first field in your CRM you'd clean up?

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/ 

---

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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 

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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

The job market is not broken.

You are just using outdated methods.

Here are 10 AI tools that will help you get a job faster.

🔖 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/ 

---

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

--- 

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

Let me know in the comments 👇 

---

The job market is not broken.

You are just using outdated methods.

Here are 10 AI tools that will help you get a job faster.

🔖 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. 

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

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. 

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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.

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Do you use AI tools regularly now?

Comment below 👇 

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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.

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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.

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The internet stopped feeling noisy.

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

That is when I created this.

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

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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

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Think of it like this:

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

That small difference changes everything.

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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

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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

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Used correctly, 
Perplexity becomes something powerful.

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

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

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

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

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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.

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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.

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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

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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

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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. 

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What do you think of making money on LinkedIn?

Let me know in the comments 👇 

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

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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. 

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What do you think about these levels of career progression?

Let me know in the comments below 👇 

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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: 

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---

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/ 

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2. Veed 

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

Link: https://veed.io/ 

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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 

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4. Submagic 

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

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

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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 

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6. Canva 

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

Link: canva.com 

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7. Podcastle 

AI-powered podcast and video software. 

Link: https://podcastle.ai/ 

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8. Beehiiv 

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

Link: https://lnkd.in/dMvdenTq 

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9. TubeBuddy  

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

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

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10. aiCarousels 

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

Link: https://lnkd.in/dxVQueqX 

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I’ve tried all of them. 

And yes, they work well.

And some of them already have millions of users.

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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.

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

AI skills.

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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.

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---

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.

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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

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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 👇 

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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 👇 

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24 AI Skills You Can Work On In 2026

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

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---

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 

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

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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 

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

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---

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.

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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.

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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.

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

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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.

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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.

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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.

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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.

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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

taplio

The Battle

Jérémy Grandillon

Shushant Lakhyani

Followers

Posts

Engagements

Likes

Performance ScoreJérémy Grandillon's LinkedIn Performance

Performance ScoreShushant Lakhyani's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Jérémy Grandillon

Shushant Lakhyani

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);}Jérémy Grandillon's LinkedIn Performance

Performance ScoreShushant Lakhyani's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreJérémy Grandillon's LinkedIn Performance