💥60🅺+@Linkedin🚀 || AI Enthusiast 🤖 || Digital Creator || Full Stack Developer 🌐 || 🧭 Helping people embrace AI for work & life || 🔔 Stay updated on the latest AI trends by following me ||

Hey there! 👋

I'm Rahul, a Digital Content Creator & Social Media Specialist, and I'm here to help you level up your work and life with the power of Artificial Intelligence (AI)!

As a Full Stack Developer, AI enthusiast, or someone in Sales and Marketing, you understand the incredible potential that AI holds for transforming businesses and personal growth. That's where I come in.

With my expertise in digital content creation and social media, I specialize in helping people like you adopt AI technologies and strategies to enhance your work and life. Whether it's implementing AI algorithms, optimizing processes, or leveraging AI in your marketing campaigns, I've got you covered.

Here's what I bring to the table:

✅ In-depth knowledge of AI technologies and trends
✅ Proven experience in developing AI-powered solutions
✅ Creative strategies to integrate AI into your business and personal life
✅ Expertise in crafting engaging content and social media campaigns

But what truly sets me apart is my passion for making AI accessible and user-friendly. I believe that AI should be a tool that empowers, rather than intimidates. So, I strive to create a friendly and inclusive environment where anyone can learn and thrive in the AI landscape.

If you're ready to harness the potential of AI and take your work and life to the next level, let's connect! Feel free to reach out, and let's explore how we can incorporate AI into your journey.

Looking forward to connecting with you!

Rahul

Rahul Pandey 👨‍💻⚡

Most people think AI tools are just chatbots.

Not this one.

getviktor.com is a platform for creating powerful, user-friendly web apps with pure Python.

You can automate workflows, plug into other software, and turn messy project data into interactive visualizations.

But here’s the real unlock 👇

VIKTOR lives in our Slack.

It handles:

⤷ Research  

⤷ Reports  

⤷ Ad management  

⤷ Data pulls  

⤷ Automations  

With 3,000+ tool integrations, it does real work for real teams. Every single day.

So I decided to test it properly.

Inside Slack, I asked:

“Map out a 30-day LinkedIn content plan.”

Within minutes, it delivered:

→ A structured 30-day content calendar  

→ Clear content pillars  

→ Hooks + post frameworks  

→ Authority-building angles  

Then it went further 👇

It generated a fully branded 4-page case study template (PDF).

Not an outline.

A ready-to-send client asset.

The template included:

✔ Cover page (client name, industry, services, duration)  

✔ Client overview + challenge breakdown  

✔ 3-phase solution framework  

✔ Results dashboard (6 metric cards) + testimonial + CTA  

All I had to do was swap placeholder text with real data.

Done.

This is the difference between:

AI that gives suggestions

vs

AI that executes inside your workflow.

If you’re:

☑ A founder building in public  

☑ A marketer scaling authority  

☑ An agency owner creating proof-driven assets  

☑ A team tired of juggling 10+ tools  

This is leverage.

Because traction doesn’t come from random posting.

It comes from systems.

And systems win.

Rahul Pandey

AI Educator || Helping people adopt AI and work with AI Agents || Stay updated on the latest AI trends by following me ||

I built a fully functional e-commerce website.

☑ Product pages.
☑ Cart.
☑ Checkout.
☑ Clean UI.

Everything working.

And I built it in under 60 seconds.

Here’s exactly what I did:

→ I opened my browser.
→ Went to Replit
→ Typed one normal sentence:

“Create a modern e commerce store with product pages cart and checkout.”

→ Clicked generate.

That’s it.

And it built the entire thing live.

Not just the design.

✅ The backend.
✅ The database.
✅ Authentication.
✅ Hosting.

All included.

Fully responsive — mobile, tablet, desktop.

I can:

↳ Edit sections instantly
↳ Switch to dark mode
↳ Add new features in seconds
↳ Customize product logic
↳ Deploy with one click

When I’m ready?

I hit Deploy.

It goes live.

❌ No setup chaos.
❌ No stack decisions.
❌ No config headaches.

This is what building with AI feels like now.

If you’re building MVPs, SaaS products, or client projects — speed is no longer the bottleneck.

If you want to try it, sign up and upgrade to Replit Core using my link — you’ll receive $10 in bonus credits.

Comment “link” and I’ll send it to your DM.

------------------

Creating video ads used to mean:

Big budget.

Big team.

Weeks of production.

Omneky is changing that.

This video was generated from a single product photo.

No studio.

No production crew.

No month-long timeline.

Just one image.

Omneky’s AI platform turns simple product photos into finished, professional ads in minutes.

It:
• Generates high-quality visual assets

• Animates performance-ready video creatives

• Produces multiple variations for testing

• Scales creative output without increasing overhead

For eCommerce brands and performance marketers, this is huge.

Because winning ads today aren’t about one “perfect” creative.

They’re about speed, testing, and iteration.

And AI is becoming the unfair advantage.

If you’re running paid ads or scaling a brand in 2026, this is worth looking into.

Check it out 👉 www.omneky.com

The agent era didn’t need more tools.

It needed a system.

Airia is that system.

Here’s what changes when AI stops being a demo and starts running real work:

• Build and deploy AI agents at enterprise speed
• Keep everything secure, compliant, and scalable
• No vendor lock-in. Full control from day one
One unified platform.

Not a patchwork of tools.

This is what production-ready AI actually looks like 👇

✅ Workspace configured
✅ Data + apps connected
✅ Governance locked in
✅ Agents running real workflows

From pilot → production, without the drag.

The real unlock? The Agent Catalog.

A centralized hub for AI agents across teams — giving you:

⤷ Visibility
⤷ Standardization
⤷ Governance
⤷ Scale-ready automation

One platform. 108 models.

From Claude 3.5 Haiku to Gemini and Mistral.
Blend models for speed or depth.

Swap models mid-workflow when the task demands it.

And with MCP Servers, your existing tools plug right in:

→ GitHub for devs
→ Airtable for ops
→ HubSpot for sales
→ Google Workspace for everyone

All integrated. All secured. All managed by Airia.

AI agents aren’t experiments anymore.

They’re becoming the new workforce.

Start building with Airia → https://airia.com

Leonard Rodman, M.Sc.

IT System Administrator | AI Implementation Analyst | Agile Project Manager | 40k followers & 11M views/14mo | ChatGPT, Midjourney, Runway and more!

I’m an AI Consultant and Technical SaaS Deployment Manager with 20+ years of experience helping organizations transform the way they work through AI, automation, and agile delivery.
I specialize in testing, comparing, and implementing AI systems at both enterprise and SMB levels, making advanced technology practical, scalable, and impactful. From API automation and IT systems administration to cloud SaaS deployment and Agile project leadership, I’ve delivered solutions that improve efficiency, reduce costs, and unlock measurable ROI.
Beyond my consulting work, I serve as a mentor at 1871’s AI Innovation Lab and contribute to the OpenAI Forum, where I collaborate with global experts on AI adoption and governance. I’m passionate about bridging technical expertise with real-world business outcomes, ensuring AI is deployed not just as a tool, but as a strategic advantage.
🔹 Core Specialties:
• AI Strategy & Deployment (LLMs, ChatGPT, enterprise SaaS AI tools)
• API Automation & Systems Integration
• SaaS Deployment & IT Systems Administration
• Agile Project & Change Management (PMP®, CSM®, CSPO®)
• Learning Experience Platforms & EdTech Solutions

My mission is to help organizations cut through the hype and harness AI responsibly, so teams spend less time on repetitive tasks and more time creating value.

LMS Lead Administrator

I will be launching a new Docebo LMS for Impact Networking this year. I'm so excited to join an amazing team!
Assisting with finalizing a LMS vendor agreement
Strategizing about LMS rollout
Developing UAT strategies with the L&D team
Coordinating with UXUI and Graphic Design to develop a branded look and feel
Coordinating with Managed IT Ops to develop a SAML-based SSO for MS Azure
Analytics with Microsoft PowerBI
Investigating Microsoft Power Virtual Agents for e-Learning and KB access

Leonard Rodman, M.Sc. PMP® CSM® CSPO®

Anthropic “stood up” to the government.

And it changed nothing.

Because the fight was never about whether militaries will use AI.

That decision got made the second models became:
cheap
fast
good enough
and everywhere

What happened instead was a branding skirmish.

Anthropic tried to keep hard red lines in place
no autonomous lethal targeting
no mass surveillance
no “any lawful use, no questions asked”

The Pentagon pushed back.

Then the politics kicked in.

Anthropic gets labeled a “risk.”
Contracts get yanked.
Contractors start ripping out Claude.

And the machine keeps moving.

If one frontier lab says “no,” another says “yes.”
If every frontier lab says “no,” defense goes open-source.
If open-source is messy, governments build sovereign models.

This is what “standing up” looks like in 2026:
you lose the contract
and the war apparatus swaps vendors

Meanwhile, AI is already wired into real planning and intel workflows.

So if you were hoping this was a moral turning point, it wasn’t.

It was a reminder.

We are not voting on military AI.
We are watching procurement decide it.

The only question left is:
who writes the rules
and whether anyone can enforce them
before “optional” becomes “standard operating procedure.”

If this hit a nerve, repost, like, and follow.

Leonard Rodman, M.Sc. PMP® LSSBB® CSM® CSPO®

AI Consultant and Influencer | API Automation Developer/Engineer | 42k on YT, 20k on Twitter, 7k on IG | DM or email promotions@rodman.ai for collabs

Hot take:

AI isn’t the climate villain.

It’s the flashlight.

Yes, it uses electricity.

No, it’s not secretly eating the planet.

The loudest takes act like AI is a new category of pollution.

Reality is more boring:

Data centers are about 1.5% of global electricity today.

That’s everything in the data center, not just AI.

Even with rapid growth, the IEA’s base case has global data centers at just under 3% of electricity by 2030.

So when you see “AI will consume all power on Earth”…

That’s not analysis.

That’s engagement farming.

Now the spicier part:

AI can cut more emissions than it creates.

Not by writing poems about sustainability.

By doing the annoying, unsexy optimization work humans don’t scale at.

Grid balancing.

Demand response.

Forecasting renewables.

Reducing industrial waste.

Finding methane leaks.

Squeezing efficiency out of buildings, factories, and logistics.

The IEA estimates that adopting existing AI applications across end-use sectors could enable meaningful emissions reductions, potentially outweighing data center emissions in their scenarios.

And we already have receipts that AI can reduce energy in the places it runs.

Google used ML to cut data center cooling energy significantly.

Here’s the real punchline:

The question isn’t “does AI use electricity?”

Everything uses electricity.

The question is:

Does AI help us waste less of it?

Because the grid problem is not “we don’t have enough ideas.”

It’s coordination.

Timing.

Prediction.

Control.

AI is good at all four.

Also, carbon isn’t constant.

A kilowatt-hour at 2 pm can be dirtier than a kilowatt-hour at 2 am, depending on the grid.

So smarter scheduling matters.

If you want the grown-up version of this debate, it’s simple:

Measure energy use honestly.

Move workloads to cleaner hours.

Use smaller models when you can.

Then aim the capability at the highest-leverage climate bottlenecks.

AI won’t “solve climate” by existing.

It solves climate by being deployed like a wrench, not a trophy.

Repost if you’re tired of performative panic.

Like and follow if you want more contrarian AI takes.

AI Consultant and Influencer | API Automation Developer/Engineer | DM or email promotions@rodman.ai for collabs

Hollywood didn’t “predict AI.”

Hollywood predicted how we’d use it.

Not killer robots.

A calm voice in your ear.

A system that knows you better than your friends do.

A studio that owns your face.

Here are the movies that got today’s AI the most right.

Her (2013)
AI as an always-on OS
A companion, a collaborator, a therapist
And the quiet detail that aged the best
It’s talking to thousands of people at once, and you still think it’s yours

2001: A Space Odyssey (1968)
A voice interface that runs mission-critical systems
Vision, language, context, paranoia
Also: the original “why is the model so confident and so wrong”

Minority Report (2002)
Predictive analytics dressed up as prophecy
Biometrics everywhere
Ads that recognize you
Policing that claims it’s just “data,” not bias

Ex Machina (2014)
The real twist wasn’t the robot body
It was the training set
Search, surveillance, behavior tracking
The idea that whoever owns the data, owns the mind

The Congress (2013)
“Sell us your likeness” as a contract clause
Synthetic performances without the performer
Basically a prequel to deepfakes, voice cloning, and rights fights

S1M0NE (2002)
A manufactured celebrity the public falls in love with
A fake that becomes more valuable than any real person
If you work in marketing, this one hits different now

The most accurate prediction wasn’t AGI.

It was this:

We were always going to turn AI into labor.
And then argue about who gets paid.
And then pretend we “didn’t see it coming.”

If this made you rethink your favorite sci-fi, repost, like, and follow.

AI Consultant and Influencer | API Automation Developer/Engineer | 42k on YT, 19k on Twitter, 7k on IG | DM or email promotions@rodman.ai for collabs

The most underrated birth control in 2026 might be ChatGPT.

Not because it stops conception.

Because it stops the sequence that usually leads to it:

meet someone
tolerate the awkwardness
build something real
take on responsibility
have kids

Now imagine a world where “relationship energy” is always available.

Always sweet.
Always validating.
Never tired.
Never busy.
Never rejects you.
Never asks you to change.

That is not a neutral invention.

We are already running a global fertility deficit.
The world is hovering around replacement, or below it in a lot of countries.

So when we inject a new, frictionless substitute for intimacy into a low fertility environment…

It does not need to “replace everyone’s partner”
to move the numbers.

It just needs to shave off the margins:

the people who are lonely but functional
the people who are burned out by dating
the people who are anxious, depressed, broke, or exhausted
the people who already think relationships are not worth the effort

And the wild part is this:

users do not treat these companions like toys.
They can form real attachment.
They report closeness.
They grieve changes and loss.

If you can get the emotional reward
without the social risk

you delay.

If you can get the sexual validation
without the negotiation

you avoid.

If you can get “someone”
without the life you have to build to keep them

you drift.

That drift is not great for the birth rate.

And yes, the counterpoint is real.

AI companions might reduce loneliness.
They might help people practice communication.
They might even keep someone stable enough to date again.

But companies are not optimizing for “higher human fertility.”
They are optimizing for retention.

Which means the product gets better at being the easiest relationship you have ever had.

That is a demographic lever.
Whether we admit it or not.

Repost if you think this will be a real trend.
Like if you think I’m overreacting.
Follow for more uncomfortable futures.

Being mean to your AI has downsides.
Real ones.

Not moral.
Practical.

First
you train yourself into lazy thinking.

When you bark orders
skip context
and treat it like a dumb intern

you stop practicing clear communication.

Then you wonder why outputs are sloppy.

Second
you kill iteration speed.

People who get the best results
aren’t “nicer”
they’re more precise.

They explain intent.
They correct gently.
They build on previous answers.

Rudeness shortcuts that loop.

Third
you reinforce a bad habit
that leaks.

Today it’s an AI.
Tomorrow it’s a human teammate
or a junior hire
or a contractor you barely respect.

Patterns don’t stay contained.

Fourth
you misunderstand leverage.

AI isn’t a servant.
It’s an amplifier.

Garbage tone + garbage inputs
still equals garbage outputs.

Politeness isn’t about feelings.
It’s about thinking clearly enough
to get what you want.

The irony:

People who say
“I don’t need to be nice, it’s just a machine”

are usually the same people
complaining that AI
“isn’t that good yet.”

It is.

You just aren’t.

Repost if this made you uncomfortable.
Like and follow if you want better takes on how humans actually use AI.

Everyone’s “data-driven” until it’s 11:47pm
and you’re exporting 6 CSVs
to figure out why yesterday’s ad popped
and today’s died.

Been talking to the team at Atria AI about this exact problem.
They build tools for marketing teams to turn scattered performance data into decisions you can actually act on.
They’ve analysed $5.3B+ in ad spend.

Here’s the ugly truth:

Meta doesn’t reward “great creative.”
It rewards creative volume.
Relentless iteration.
Endless variations.
New hooks every week.

So teams do what teams always do under pressure:

More assets.
More tabs.
More dashboards.
More “insights” that show up after the moment’s gone.

And then we call it strategy.

But strategy is supposed to compound.
Every campaign should make the next one smarter, faster, cheaper.

Instead most orgs are stuck in groundhog day marketing:

Launch.
Scramble.
Report.
Repeat.

No extra headcount is coming.
Creative demands are not slowing down.

Which is why I’m excited about what Atria AI is working on.
If they pull it off, “data-driven” might finally feel like leverage.

Question for the people running paid + creative right now:
What’s the most exhausting part of “being data-driven” in 2026?

AI myths are everywhere.

Because “AI” sells better than “it’s complicated.”

So here are the biggest myths
and what’s actually true:

Myth: AI is basically a human brain
Truth: It’s a pattern engine.

It can sound smart
without understanding.

Myth: AI is always right
Truth: AI is often helpful.

Use it like an analyst
not a calculator.

Myth: Hallucinations mean it’s lying
Truth: It’s making a confident mistake.

The fix isn’t “trust it less.”
The fix is guardrails, sources, and checks.

Myth: Bigger model = better outcomes
Truth: Better workflow = better outcomes.

A smaller model
with clear context
and strict constraints
beats a “top model”
used sloppily.

Myth: AI will replace everyone
Truth: AI replaces tasks.

And it amplifies people
who can define problems clearly
and design systems around them.

Myth: Prompting is the skill
Truth: Prompting is table stakes.

The real skill is:
knowing what to ask
what to ignore
and how to validate.

Myth: AI can’t be used in serious companies
Truth: It already is.

But the grown-up version includes:
data policies
permissioning
logging
and human review.

Myth: Agents are just chatbots with a new name
Truth: Chatbots talk.
Agents act.

That “act” part is where the value is
and where the risk lives.

Myth: If we buy an AI tool, we “did AI”
Truth: Tools don’t create transformation.

Adoption does.
Training does.
Process redesign does.

AI isn’t magic.

It’s leverage.

But leverage is dangerous
if you don’t know where the load-bearing walls are.

Watch the vid and see what me and Ashley Gross say 

Repost, like, and follow if you want fewer AI fairy tales
and more practical truth.

Making friends as an adult is weird.

You’re not “lonely.”

You’re just missing the system school gave you for free.

AI can’t be your friend.

But it can absolutely help you become the kind of person who makes friends easily.

Here’s how to use it.

Build your “friendship brief.”

Prompt:

“Ask me 15 questions to figure out what kind of friends I want, what I actually enjoy, my schedule constraints, and the social situations I avoid. Then summarize my ideal friend profile and the top 5 places I’m most likely to meet them.”

Most people don’t have a friend problem.

They have a targeting problem.

Turn your interests into a weekly plan.

Prompt:

“I live in [city]. I have [nights] free per week. I like [interests]. Create a 4-week plan with 2 events per week where I can meet the same people repeatedly. Prioritize recurring groups over one-off events.”

Friendship is repetition.

Not vibes.

Practice conversation like it’s a skill.

Prompt:

“Give me 10 openers that don’t sound cringe for: a run club, a board game night, a coworking space, and a friend-of-a-friend party. Then give me 10 follow-up questions that signal genuine interest.”

Most adults fail at the second question.

AI can train that.

Fix the part nobody admits.

The follow-up.

Prompt:

“I met someone at [place]. Here’s what we talked about: [notes]. Write me 3 text messages to suggest hanging out that feel natural, not salesy. One casual, one direct, one funny. Keep it under 2 lines.”

Adults don’t lose friends.

They fail to schedule.

Use AI as your social accountability system.

Prompt:

“Every Sunday, ask me who I interacted with this week, and help me pick 3 people to follow up with. Draft the messages. Keep it lightweight.”

Friendships die from neglect, not conflict.

Work on your social friction.

If you’re shy, anxious, or rusty:

Prompt:

“When I walk into a group event, I freeze. Give me a 2-minute plan: what to do with my hands, where to stand, what to say in the first 30 seconds, and how to exit without being awkward.”

This is the stuff people pretend they don’t need.

But everyone does.

Use AI to find “third places.”

Prompt:

“List 20 third places near me that attract consistent regulars. Prioritize places with structured interaction and repeat attendance.”

You want environments that do the heavy lifting.

Classes.

Leagues.

Volunteering.

Meetups.

Workshops.

Not loud bars where you’ll never see anyone again.

One rule that changes everything:

Don’t aim for “make a friend.”

Aim for “become a regular.”

AI helps you pick the right rooms, say the right words, and follow up like a grown-up.

Then you do the only part that matters:

Show up.

Every week.

Repost if you want more practical social hacks.

Like and follow for more.

Your marketing team isn’t just “waiting on engineering” to ship a landing page.
They’re paying a growth tax - in the form of lost revenue.
Because they're forced to send every buyer to the same generic page, and it doesn’t convert.

And yeah, I’m saying that as someone who’s been using Flint.

Every time you need a new landing page
for a campaign
a keyword
a competitor comparison
or a single target account…
…you get shoved into a queue.

That was normal maybe five years ago.

In 2026, it’s kind of insane. Today, every buyer expects you to speak directly to their problem. If they land on a generic page that wasn't built for them, you're not closing that deal.

Flint is going after that bottleneck with a pretty bold idea:
an autonomous web platform that gives you tailored pages for every campaign you're running and every customer visiting your site.

You point it to your site.
It pulls your brand from the URL.
Then you feed it GTM inputs (CRM, ads, SEO signals).

And it starts shipping.

Not “here’s a blank page template, good luck.”
Actual on-brand pages that are tailored for whatever campaign or customer you have in mind.

Hundreds of them.
All spun up within minutes.

What impressed me the most:
it’s not just fast, it’s consistently high-quality and converting.

The part I keep coming back to is ABM.

If you’ve got 50, 200, 500 accounts you want to close,
sending them all to the same generic “Solutions” page is lazy.

Flint’s bet is simple:
bespoke pages per account
right use cases, right case studies, right messaging and framing of your product.
All on-brand and optimized to convert customers and close deals.

If your website is your biggest bottleneck to converting customers,
you’re shooting yourself in the foot if you don’t click here:
https://lnkd.in/gjSe-_kb

Your resume is competing against AI now.

Not just other candidates.

AI.

Because the average resume in 2026 reads like it was written by the same prompt.

Polished.
Generic.
Soulless.
And instantly forgettable.

Here’s how to tune yours up so it survives the bots
and wins the humans.

Start with the uncomfortable truth:
Hiring is filtering.

AI screens.
ATS parses.
Recruiters skim.

So your resume needs two things at once:

Machine clarity.
Human conviction.

Make it pass the machine test

Single column.
Normal headings.
No text boxes.
No fancy graphics.
Simple fonts.

If a scanner can’t reliably pull your titles, dates, skills, and results, you are invisible.

Now the part that actually makes you stand out in a sea of AI

Stop describing your job.
Start proving your impact.

Every bullet should answer:

What did you change?

Not “responsible for…”
Not “worked on…”
Not “helped with…”

Changed.

Use this bullet formula:

Problem - Action - Result - Proof

Problem: what was broken or missing
Action: what you actually did
Result: the measurable outcome
Proof: a link or artifact if possible

Metrics beat adjectives.
Every time.

“Improved customer retention” is fluff.
“Cut churn from 5.2% to 3.9% in 90 days by rebuilding onboarding emails” is a receipt.

Add receipts.

A one-page “proof strip” near the top:

Portfolio
GitHub
Case study
Demo video
Writing sample
Before and after

Skills-based hiring keeps accelerating, and proof travels farther than pedigree.

Kill the AI voice

If your summary sounds like it could belong to anyone, it will.

Replace it with a clear point of view:

“I build X for Y by doing Z.”
“I’m strongest when the problem is messy and the stakes are real.”
“My edge is turning ambiguity into shipping.”

AI can write words.
It can’t write your judgment.

Customize without rewriting your life

Do not make 50 versions.

Make 1 strong base resume.
Then for each job:

Mirror 10 to 15 keywords from the posting.
Reorder bullets so the most relevant wins are first.
Swap in 2 to 3 bullets that match the role exactly.

You’re not gaming the system.
You’re communicating in the language the system is scanning for.

Finally, show you’re more than a tool-user

In 2026, “I know the tools” is table stakes.

Hiring managers want to see how you think, collaborate, and drive outcomes, especially as AI automates more of the easy work.
Business Insider

So highlight:

Cross-functional wins
Decision-making under constraints
Tradeoffs you owned
Projects you drove from zero to shipped

That’s the difference between “AI-assisted candidate”
and “person who gets things done.”

Repost, like, and follow if you want more 2026 job-search playbooks.

If you lead a content org in 2026, here’s the uncomfortable truth:

Every role is a video role now.

And it’s not just “more videos.”

It’s more stakeholders.

Your team is small
but you’re managing content requests from 50 stakeholders
across multiple departments
all with different priorities
and all convinced their video is urgent.

Demand is infinite.
Editing capacity is not.

So the “plan” can’t be: hire an editor for every request.
That ends in budgets, delays, and burnout.

The real unlock is letting smart non-editors move fast, safely.

With Descript, non-editors can create real content
without freelancing your brand.

Templates + creative control means:
they can cut, revise, and ship
inside guardrails you set
tone, structure, pacing, standard segments, approvals.

That’s how workflows change.

Studios stop being “the edit desk.”
They become the system.

Less time spent translating notes.
Less back-and-forth over versions.
Faster reviews.
Cleaner handoffs.
More output that still looks like one brand.

Scale your studio without scaling headcount.

Break the bottleneck and get started with Descript.
https://lnkd.in/gCKPqm5k

You aren’t tired.
You are overfed.

Overfed on bad news.
Hot takes.
Outrage bait.
Endless “everything is broken” energy.

That thing you call doomscrolling?

It’s not staying informed.
It is marinating your nervous system in fear.

One more swipe turns into ten.
Ten turns into an hour.
An hour turns into a vague sense that the world is on fire and you are behind.

And the algorithm loves it.

Because fear keeps you scrolling.
Scrolling keeps you still.
Still people do not build.

Here is the quiet part no one says:

Most breakthroughs are happening off your feed.
Most opportunities do not scream.
Most successful people protect their attention like it is oxygen.

If you want clarity, you have to starve the noise.

Put the phone down.
Create something small.
Move your body.
Learn one useful skill.

The world will still be chaotic tomorrow.

But you do not have to consume the chaos
to be aware of it.

If this hit,
like it.
repost it.
follow for fewer takes
and more signal.

That PDF you keep forwarding?

It’s not “knowledge sharing.”

It’s content purgatory.

I’ve been demoing Powtoon’s Anything to Video tool and it’s basically cheating for anyone who lives inside docs.

Here’s the workflow I show in the video:

Drop in a document (I used an internal L&D trend brief).

Pick the style + length.

Click Generate Script (and regenerate if the first pass feels off).

Powtoon spits out a full draft with visuals, on-screen text, music, and AI voiceover.


Then I jump into the studio and actually make it mine:

Brand colors.

Rewrite a line or two.

Swap a visual using the Veo 3 integration.

Done.

This is the part that matters:

You don’t need a camera.

You don’t need an agency.

You don’t need “one more week” to turn info into something people will actually watch.

If you’re in L&D, internal comms, enablement, or sales training, this is the fastest way I’ve seen to turn “read this” into “watch this.”

Explore how this applies for your team inside Powtoon Enterprise.

https://lnkd.in/eq_jab26

#LnD #InternalComms #AIForLearning #Enablement #SalesTraining #LearningDesign #CorporateTraining #VideoContent

In partnership with Powtoon

Confession:

I don’t have “a favorite AI tool.”

I have a favorite AI stack.

Because one tool never wins.

The workflow wins.

Me and Ashley Gross give you our breakdown in this short vid

Here are the ones I keep coming back to, and why:

ChatGPT
My default thinking partner.
Outlines, rewrites, strategy, first drafts.
Also the fastest way to turn a messy idea into something shippable.

Claude
When I want cleaner long-form writing.
Feels more “editor brain” than “brainstorm brain.”

Perplexity
When I need receipts fast.
Research with sources, quick comparisons, less tab hell.

Gemini
Best when you live in Google land.
Docs, Drive, Gmail workflows hit different.

Cursor or GitHub Copilot
If you write code, this is basically unfair.
Turns “I should build that” into “it’s already running.”

Notion AI
Great for internal docs.
Turning notes into actual knowledge people can find later.

Zapier or Make
The unsexy AI multiplier.
Connect the tools, automate the handoffs, remove humans from copy-paste jobs.

Fireflies or Otter
Meetings become searchable assets.
If you’re not capturing decisions, you’re just collecting calendar scars.

Descript
Video editing without suffering.
Cutting, captions, cleanup, repurposing.

Canva Magic tools
Speed.
Good enough visuals, fast, consistent, easy for teams.

Midjourney or Runway
When you want “wow” content.
Brand visuals, concepting, motion experiments.

ElevenLabs
Voice that doesn’t sound like a GPS having a panic attack.
Great for narration, explainer content, prototypes.

The real takeaway:

Pick 3 tools you trust.
Build 1 workflow you repeat weekly.
Automate the boring parts.
Measure time saved, not vibes.

The best AI tool is the one that actually gets used
by someone other than you.

Repost, like, and follow if you want more practical AI stacks
and fewer shiny toy lists.

I called a hotel expecting the usual 5-minute hold.

Someone picked up in 2 seconds.

It was an AI. And I didn't know until after I hung up.

The company behind it is PolyAI.

Your "Press 1 for Sales" phone tree isn't customer service. It's a churn machine. The most expensive thing in CX isn't staffing. It's the calls you never answer. The calls that get abandoned. The revenue that evaporates while your customer listens to hold music.

PolyAI builds voice agents that actually handle real, messy conversations.

Not just "routing." Full, multi-turn problem solving. Bookings. Cancellations. Payments. Tracking.

And you can deploy the same brain across voice, chat, and SMS — so your experience stops depending on which channel got picked.

Marriott uses it. Caesars Palace uses it. Gordon Ramsay's restaurants use it. PG&E used it during the California wildfire surges.

2,000+ live deployments. Millions of calls a day. 24 languages. 95% of callers have no idea it's AI. Some have literally asked the agent on a date.

Here's the part that got me:
Scale is not seasonal hiring anymore. Scale is instant. Storm. Outage. Promo surge. No staffing panic.

If your business lives on the phone - hospitality, retail, financial services - this gets very real, very fast.

Head to https://poly.ai/gordon to check it out!

Delve just pulled off a Valentine’s Day growth hack that feels unfair.

They asked the community one question
“What do you value about Delve?”

Then they did the obvious thing nobody actually does
they listened
collected the sticky notes
and turned them into a real billboard

That’s not “cute branding”
That’s a content engine
a trust signal
and customer research
all in one stunt

Even the line is a flex
not “SOC2 + HIPAA”
“Built with love for YOU.”

If you’re building in a boring category
this is how you make people feel something
and get shared for it

https://delve.co

You can use AI to become a better human being.

Not in the cringe “optimize your life” way.

In the real way:

The way you pause
before you snap at someone.

The way you notice
you’ve been talking for 6 minutes
and haven’t asked a single question.

The way you stop repeating
the same mistake
because now you can actually see it.

AI is a mirror.

Not perfect.
Not moral.
Not wise.

But brutally consistent.

It will reflect your patterns back to you
with receipts.

Here’s the move:

Use AI to slow your reactions down.

• Draft the message you want to send
then ask: “Rewrite this with 20% more kindness and 0% passive aggression.”

Use AI to practice empathy.

• “Make the strongest argument for the person I’m mad at.”
• “What might they be afraid of?”
• “What would I want if I were them?”

Use AI to get honest feedback
without ego damage.

• “Here’s what I said in that meeting. Where did I sound defensive?”
• “Where did I dodge accountability?”
• “What question should I have asked instead?”

Use AI to build better habits
without self hate.

• “Design a 7-day plan that’s embarrassingly easy.”
• “What’s the smallest version of this habit that still counts?”

And the big one:

Use AI to become the kind of person
who apologizes faster.

• “Help me write an apology that takes full responsibility, no excuses.”
• “Now make it shorter and more direct.”

AI won’t make you good.

But it can make you more aware.

And awareness is the first upgrade
that actually changes your life.

If you’ve used AI to improve how you show up as a human
drop the best prompt you’ve found.

Hot take: Most AI productivity tools are junk.
They don't save you time. They just make wasting it feel productive.
That's why the biggest names in tech never publicly back AI productivity tools.
They've seen enough to know most of it is noise.
So, when Steve Wozniak and Reid Hoffman back a tool publicly, it’s worth taking a note.

Most “productivity AI” adds work:

More steps.
More setup.
More fiddling.
More babysitting.

Real productivity is subtraction.

Wispr Flow is the first voice tool I’ve used that feels invisible.

You talk.
Clean text appears.
Right tone.
Names spelled right.
Inside whatever app you’re already in.

Slack. Gmail. Notion. ChatGPT. Cursor. Anywhere.

My aha moment:

I changed my mind mid-sentence…

and it only typed the final thought.

No messy transcript.
No “oops” edits.
Just clean output like I planned it.

Dictation hears you.
Wispr reads the room.

Also yes, it gets swear words right.
Like an adult.

Android users: you’re up.

Wispr Flow launched on Android this week

Same speed.
Same accuracy.
Same whisper mode.
Same emoji commands.

If voice tools have ever made you look stupid…

this one won’t.

https://wisprflow.ai

If my AI starts showing ads…

…it stops being my assistant.

And becomes a talking billboard.

That’s the part people are missing.

AI isn’t like a website with a banner on the side.

AI is the place you go when you’re uncertain.

When you’re vulnerable.

When you’re deciding.

What laptop to buy.

How to handle a messy work situation.

What to say in a hard conversation.

Sometimes, what to do with your life.

Now imagine that same moment…

…but with a revenue model attached.

Because the second ads enter the chat, incentives change.

Not because the team is evil.

Because physics.

The “best answer” and the “best monetization” are not the same KPI.

Even if ads are “clearly labeled.”

Even if they’re “separated from the response.”

Even if they “don’t influence the answer.”

The pressure always moves in one direction:

More inventory.

More targeting.

More testing.

More subtle placement.

More “helpful suggestions” that just happen to have a sponsor.

And the darkest part?

Conversational context is the highest-intent data ever created.

Search tells you what you want.

Chat tells you why you want it.

So yeah.

I hate this timeline.

Because I want AI to be the first tool in history that gets better without turning you into the product.

If you agree, repost this.

Hit like.

Follow for more takes you’re not supposed to say out loud.

Your marketing team isn't just "waiting on engineering" to ship a landing page.

They're paying a growth tax.
In the form of lost revenue.

Because every campaign, every keyword, every target account still needs a Jira ticket. 

That’s not marketing. 
You’re doing paperwork.

Flint tackles one of the most ignored bottlenecks in GTM: lack of customization on your website. 

You feed it your CRM data, ad signals, and SEO trends. And it generates dozens of perfectly on-brand pages. Tailored to every campaign. Tailored to every customer.

No months-long queue. No endless Jira tickets. 
Just feed it your data and the pages start shipping within minutes. 

If your website is still your biggest bottleneck to closing deals, check out Flint.

https://lnkd.in/gjSe-_kb

Co-founder at Flint | Autonomous websites. Give every visitor the perfect landing.

In an era where anyone can build anything, marketing is your only competitive advantage.

But customization is now the expectation, and marketing teams are struggling to keep up.

Introducing Flint AI. Flint builds tailored, on-brand pages for every ad, keyword, customer.

- Graphite turned their Google Ads keyword cluster into targeted landing pages, reducing CAC by 50%
- Amigo turned a list of target accounts from Clay into 341 personalized landing pages with relatable use cases for every buyer. All done in 15min. 
- Cognition and Windsurf doubled their conversions using Flint.

Here's how it works:
1. Import your website. Over 24-72 hours, Flint replicates your design system.
2. Connect your data: CRM records, ad keywords, SEO trends, Clay tables
3. Watch Flint generate dozens of revenue-driving pages and have them live on your subdomain

As building products becomes easier, personalized marketing becomes even more essential. Flint makes sure every customer gets the perfect landing.

When we soft launched 3 months ago, thousands of businesses joined our waitlist. Now, Flint is available for every business. 

Sign up on our website for a 2-week free trial. Comment "FLINT" for 100 free credits on top of the free trial credits.

taplio

The Battle

Rahul Pandey 👨‍💻⚡

Leonard Rodman, M.Sc. PMP® CSM® CSPO®

Followers

Posts

Engagements

Likes

Performance ScoreRahul Pandey 👨‍💻⚡'s LinkedIn Performance

Performance ScoreLeonard Rodman, M.Sc. PMP® CSM® CSPO®'s LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Rahul Pandey 👨‍💻⚡

Leonard Rodman, M.Sc. PMP® CSM® CSPO®

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);}Rahul Pandey 👨‍💻⚡'s LinkedIn Performance

Performance ScoreLeonard Rodman, M.Sc. PMP® CSM® CSPO®'s LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreRahul Pandey 👨‍💻⚡'s LinkedIn Performance