Valentine Boyev

CEO at Halo Lab ✦ Helped 500+ companies to raise 💲revenue and investments through digital design and marketing → $500M+ in client total funding

With a passion for creating unique and scalable digital products, I help brands achieve their goals and enhance their online presence.

Key Achievements:

✅ $500m+ in client total funding

✅ 500+ happy clients

✅ 99+ international awards

✅ 120+ glowing reviews


I specialize in:

⤷  Web Design Services: Creating eye-catching and user-friendly websites that grab attention and drive results.

⤷  Website Development: Building strong, reliable websites that fit your business perfectly.

⤷  User Experience Design: Making sure your users have a smooth and enjoyable experience.

⤷  Brand Design: Crafting unique brand identities that really pop.

⤷  Conversion Optimization: Helping turn your visitors into loyal customers.

⤷  Digital Web Solutions: Providing all the web solutions you need in one place.

⤷  Website Redesign for Results: Giving your old website a makeover to boost performance and engagement.

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My Journey

My career began 15 years ago as a UI/UX designer, driven by a passion for creativity and beauty. For me, design is more than a job—it’s a way of life, an ever-exciting, fantastic world.

I believe in thinking outside the box and continuously renewing my knowledge. This mindset has guided me in helping people fall in love with brands and assisting agencies in winning new business.

———————————————————————————

Halo Lab

Another passion I discovered is mentoring young designers at Halo Lab, where I help them become true professionals. Sharing my knowledge not only helps others but also fuels my own learning journey.

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Have a BIG idea in mind?

Contact me directly: inquiry@halo-lab.com

Co-Founder & CEO

Halo Lab is a full-stack design & development team.

We created digital projects almost every day since 2013.

We work with a diverse range of innovative startups and established companies. We've launched over 350 projects, helping our clients secure a total of $370M in funding. 

Some of our standout projects include:

- Kinetik: A healthcare platform with over 3,500 integrated providers.
- Bookclub24: A German online library for book collectors.
- Raven.gg: A leading brand in custom esports clothing design.
- Mighty Buildings: Pioneers in sustainable 3D-printed houses.

You can hire a designer. Or you can hire a design brain.

One gives you beautiful screens. The other gives you a product that thinks.

When you hire a single designer, you get skills.
When you hire a team that works as one brain, you get experience that compounds.

At Halo Lab, our teams don’t work in silos.
The UX researcher sees what frustrates users.
The product designer connects it to business goals.
The UI designer turns it into clarity and trust.
The developer translates it into something fast and functional.

Each person covers a blind spot the others can’t.
And together, they don’t just design, they solve.

That’s the difference between design as a task and design as a system.
Between a pretty interface and a product that scales, converts, and feels effortless to use.

If you’re scaling your product, don’t just hire a designer.
Hire a brain that’s trained to think like your users and build like your business depends on it.

If you’re looking for a design brain that can start in weeks (not months), let’s talk👉 https://bit.ly/49wqB0p

🔔 Follow Valentine Boyev for more updates!

CEO @ Halo Lab ✦ Leading a 130+ design-driven B2B software company → 500+ products shipped & scaled

“$5K for a full app” sound too good to be true.

A credible app budget runs anywhere from $50K–$250K+, depending on scope and complexity. 

At $5K, what you’re really buying is a prototype, a landing MVP, or a template, not a production-grade product.

The hidden costs show up later:

✦ No QA.
✦ No security.
✦ No IP clarity.
✦ No discovery.
✦ No maintenance plan.

So what does a serious proposal include?

1. Discovery: user flows, integrations, edge cases.
2. Delivery plan: milestones, QA, release strategy.
3. Security & compliance baked in.
4. Ongoing ops & maintenance plan.

🚩 If a vendor quotes $5K for the whole thing, don’t think “deal.” 
Think “demo.”
The real bill will come later, in rewrites, downtime, or lost trust.

The smarter play: if budget is tight, scope a small, clear MVP with defined limits and a real path to production. 

That way, your “cheap” start doesn’t become an expensive rewrite.

♻️ Share it resonates.
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“So… how much does it cost to build an MVP?”

That’s the question I get from almost every founder we talk to.

There’s no one-size-fits-all number, but there is a clear pattern in how MVP costs break down.

And understanding it early can save you from burning six figures in the wrong phase.

Typical MVP cost.

1. SaaS MVP: $30,000–$100,000 (more with complex backend or AI features).
2. Mobile App: $60,000–$150,000 (iOS + Android doubles cost unless cross-platform).
3. Marketplace: $30,000–$150,000 (multi-role logic and payments drive cost).
4. Internal Tool: $15,000–$100,000 (simpler UI but requires solid integrations).

How founders blow the budget:

1. Too many “nice-to-haves.”
You don’t need every feature. 
You need one that solves a real pain.
Amazon’s MVP sold only books, that’s it.

2. Reinventing what already exists.
Use Stripe, Auth0, Firebase, Twilio, not custom clones.
Integrating proven services can cut MVP costs by up to 60%.

3. Building all at once.
Launch the essentials (Phase 1), test, iterate, then scale.

4. Ignoring “hidden” costs.
Hosting, compliance, and early marketing add up fast.
Always keep a 20% buffer, it’ll save your runway when surprises hit.

5. Skipping validation.
A small discovery phase costs 5% of the budget but prevents 50% of rework later.

The best MVPs aren’t just cheap.
They’re intentional, focused, and fast to learn from.

P.S. Smart Calculator to estimate your project cost 👉https://bit.ly/469trIn

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7 UI rules I wish I knew earlier.

(to make the UI work for the product growth).

1. Focus on fixing real user problems, not curious design. Function over form.

2. Stop guessing what works. Test all UI elements - buttons, CTAs, days of the week, color schemes - before you make a decision. Let the data choose.

3. Waiting for the perfect design means you're going to miss the needs of your users. Get feedback early and iterate fast.

4. Do not make the user think. Use simple, clear language that anyone can understand. The simpler the better.

5. The best way to reduce friction is to eliminate a choice.
 Focus on what matters.

6. Your UI is never "finished." It will evolve with user feedback and as your product changes.

7. If your product isn't optimized for mobile, you're losing users (we saw 40% drop-off on mobile checkout before the redesign).

Ultimately, outstanding UI is about making your product simple, clear, and effective for the people using it.
Design for your users, not for your ego.

What are some of the biggest challenges you’ve faced in designing for usability?

♻️ Share this to help others avoid mistakes.
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If 40% of users would be “very disappointed” without your product, you’re close to PMF.

But users don’t feel “very disappointed” because of features.
They feel it because:
The product solves a real pain
The value is obvious
The experience feels effortless
That’s UX.

Data shows:
88% won’t return after one bad experience.
69% of enterprise software fails to deliver value.
60% of users abandon purchases due to poor UX.
42% of startups fail because there’s no real market need.

Most of those failures are about building the wrong solution, making value hard to access, creating friction before the “aha” moment.

Great UX design does three critical things:

1. Identifies the real problem before you build.
2. Clarifies the value proposition instantly.
3. Removes friction between intent and outcome.

Without that foundation, development becomes expensive experimentation.
With it, you build toward validated demand.

What about the ROI? Forrester reports:
415% ROI from UX investment.
Payback in under 6 months.
Massive reduction in rework costs.

PMF isn’t when users say, “Nice product.”
It’s when they say, “I can’t work without this.”

That’s a UX outcome.

We help product teams turn friction into traction through strategic UX design. Explore our UX design services → https://lnkd.in/dm3U-5yX

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How UX drives product-market fit

Stop increasing your expenses by 200% to 300%.

Start choosing the right build path.

Here is a rough estimate of costs associated with the two approaches based upon typical U.S. agency pricing and costs for the first year.

If your product is a marketing site, landing page, content hub, or simple store
→ Choose Webflow - аaster launch, lower cost, no dev retainer, easy updates.

Year-one cost:
🔹 $3.5K–$25K build.
🔹 $200–$900/year hosting.
🔹 $0 maintenance (no updates, no security patches, no plugins to babysit)

Explore our Webflow services 👉 https://lnkd.in/dHvy96bR

If your product needs real logic.
→ Choose custom code - because Webflow can’t handle user auth, multi-role logic, complex data structures, or real product architecture.

Year-one cost:
🔹 $25K–$150K+ build.
🔹 Hosting: $50–$200/mo
🔹 Ongoing engineering maintenance required.

Explore our Web development services 👉 https://lnkd.in/dKwsDnTh

The simple rule:
If the website’s job is to communicate → Webflow.
If the product’s job is to compute or interact → Code.
That’s it.

And the fastest way to save time + money is knowing the difference early.

♻️ Share this to help others make a choice.
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Freelancers execute tasks.

Dedicated teams build products.

That’s the real difference.

And it’s why enterprise companies increasingly choose dedicated product design teams over solo contractors.

1. No “Vacation Pause”.
2. You’re getting product intelligence.
3. Real consistency.
4. Strategic partnership.

Last quarter, we analyzed costs for 23 SaaS products: freelancer projects averaged 40% more in rework costs despite lower rates.

The freelancer model often means:
- Coordination overhead
- Inconsistent quality
- Rework
- Delays

Dedicated teams deliver faster, more predictably, and with built-in quality control.

If you’re building a serious product in SaaS, fintech, healthtech, you need a systemized, cross-functional product design engine.

👉 Partner with Halo Lab’s dedicated product design team and build with consistency, speed, and strategic clarity 👉 https://bit.ly/49wqB0p

Let’s talk about your next release.

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What a dedicated product design team does

I watched a founder burn $180K on hiring before shipping a single feature.

Here's the math they missed:

🔹 In-house.
High salaries + benefits.
Recruitment delays + costs.
Equipment + admin overhead.

🔹 Dedicated team.
No hiring delays.
Immediate start with senior talent.
Clear monthly cost, no hidden overhead.

One client switched after 4 months of failed interviews — saved $60K and launched 6 weeks later.

Dedicated teams aren’t just cheaper. They’re faster.
You skip 3-6 months of recruitment delays.
You get structured delivery and clear accountability.
While others are still hiring, you’re already shipping.

Want to know your project cost?
We built a Smart Calculator to help founders like you get a realistic cost estimate. 

Try it here 👉 https://bit.ly/469trIn

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Dedicated vs in-house

Every product fosters feelings.

Slack develops curiosity (you check threads). 
LinkedIn develops affirmation (you observe reactions). 
Airbnb develops trust (you reside within somebody else's space). 
Uber develops control (you follow the car, the route, the pricing).

The emotional loop your product supports, becomes the habit that makes users return or leave.

And here is where many teams miss. Your design doesn't just support feelings. It influences them.

✦

For every engagement - a micro-feeling is triggered - frustration, relief, pride, fear. 
These micro-feelings accumulate into a memory. Then memory drives retention.

Behavioral design studies confirmed that:

✦ Positive feelings (clarity, control, competence) are proven to increase engagement by 30-40%.

✦ Unresolved frustration (human error, waiting, loss of context) is the leading cause of churn within SaaS and consumer apps.
So when your UX creates anxiety (loading uncertainty, unclear steps, overwhelming dashboards) - the user has accomplished their task, but subconsciously will avoid returning.

✦

Every product trains some solution.
Banking apps establish trust through clarity, confirmation, and feedback.
Healthtech products establish calm through predictability, empathy, and clarity in high-stress situations.
Productivity tools establish competence through progress visibility and responsive approaches.
E-commerce establishes confidence through speed, reassurance, and visual clarity.

If your UI, motion, and feedback loops do not align with the emotion you want to establish, they will establish the opposite.

Ways to audit emotional design in your product.

1. Avatar the emotion you want your users to feel. (Do you want them caring, empowered, energized, etc.?) 

2. Map the emotion to each interaction. For every step: "What is this moment teaching?" 

3. Test the users' reactions, not just the usability. Record facial expressions or tone, or even keywords in a survey, after each interaction. 

4. Design feedback loop(s)- use motion, microcopy, timing, etc. to bake enrich positive emotions in the experience.

Any emotional association your product will have already taught emotion - even if you weren't designing for it. Are you sure it was the right one?

♻️ Share this to help others audit their products.
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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® LSSBB® 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.

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

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

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

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

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!

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.

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Valentine Boyev

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

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The Battle

Valentine Boyev

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

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Engagements

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