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

Making friends as an adult is weirdly brutal.

Not because you forgot how to be friendly.

Because adult life is designed to delete friendship by default.

Work eats your weekdays.
Partners and kids eat your weekends.
Moves break your routines.
And everyone’s calendar becomes a polite way of saying “no.”

Then you look up and realize:

You’re not lonely.

You’re under-booked on real connection.

Here’s the uncomfortable truth.

You don’t “meet friends.”
You build them.
On purpose.
With reps.

Friendship is proximity + repetition + shared vulnerability.

So if you want more new friends this year, stop treating it like a magical accident.

Treat it like a system.

Pick one “third place” and show up every week.
Same day. Same time.
Run club. Pickup basketball. Yoga. Trivia. Volunteering. Book club. Coworking spot. Church. Whatever.

Not because it’s your passion.

Because it’s your pipeline.

Then do the part most adults avoid:

Make the first move.

Not “we should hang sometime.”

Actual specifics.

“Want to grab coffee after next week’s class?”
“I’m trying a new spot Saturday at 10 - want in?”
“I’m headed to that meetup Thursday - come with?”

Yes, it’s awkward.

So is being 42 with zero people you can call on a Tuesday.

Also, stop waiting for instant chemistry.

Adult friendship is slow-cooked.

You don’t need a soulmate friend.
You need a bench.

3-5 people you see regularly.
Who know your name.
Who’d notice if you disappeared.

One more thing:

If you’re always “too busy,” you’re not busy.

You’re over-optimized.

This year, trade a little efficiency for a lot more life.

Repost, like, and follow if you want more posts like this.

There’s a moment every January where “Happy New Year!” stops being festive…

…and starts being a cry for help.

Like:

January 1–2
Totally normal.
We’re all still metabolizing champagne.

January 3
According to Larry David… this is the line.
After this, you’re not spreading joy.
You’re forcing small talk.

January 4–7
Now it’s weird.
Not illegal.
Just weird.

January 8–15
At this point you’re basically wishing me “Happy New Year” as a personality trait.

January 16–31
No.
Now it’s not a greeting.
It’s a hostage negotiation.

If you missed the window, just say:
“Hope your year’s off to a good start.”

Clean.
Adult.
No one gets hurt.

So what’s the actual cutoff for you?

January 3?
First Monday back?
Or are you out here saying it in February like a menace?

Icon came.
Blew up the internet.
Then died.

Omneky raised a ton.
Then became a rounding error.

Not because “AI ads” is fake.
Because ads are not a tool problem.

Ads are a system.
And the missing piece was always the same:
a real human feedback loop from people who have actually spent serious money.

That’s why Airpost is interesting.

Airpost is a hybrid AI ads machine built for performance advertisers.
Platform + service.

AI does the heavy lifting.
Experienced creative strategists do the part AI keeps hallucinating:
taste, context, iteration, and ruthless prioritization of what actually wins.

The core idea is simple (and kind of unfair):
a taxonomy for how ads work.
Strategic pattern → narrative angle → execution.
So you can find what’s working, then scale it into dozens of new swings per week.

Airpost is built by the ReadySet team.
The “we shipped an AI wrapper” crowd can’t fake that.
They’ve deployed $100M+ in ads, and it shows in the positioning.

And the proof points are spicy:
DoorDash reportedly saw Airpost ads beat internal ads by ~40% better CAC.
Cloaked ran $1M+ in spend through Airpost ads.

If you’re spending $250k+/mo on paid social, this is the real pitch:
Stop asking your team to be a content studio.
Give them an ad factory that learns.

Launching Jan 20, 2026.

#partner [https://lnkd.in/g_rr36jp)

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.

The scary future of AI is not that it becomes conscious.

It’s that we become passive.

A new independent evaluation from Mount Sinai found ChatGPT Health under-triaged more than half of the cases that physicians said required emergency care. The study tested 60 scenarios across 21 specialties and 960 total interactions.

Read that again.

Not “got a few things wrong.”

Not “needs refinement.”

More than half
of the cases
where a real human should have been told:

go to the hospital.

And the machine said:
you can probably wait.

This is the part of the AI future people keep missing.

The danger is not just bad answers.

It’s outsourced judgment.

We are training people to do something insanely dangerous:

feel symptoms
open app
ask machine
wait for permission
delay action

That loop is going to kill people.

Not because AI is evil.

Because it is confident.
convenient.
always available.
and increasingly treated like authority.

That is the nightmare.

Not robot doctors taking over hospitals.

Normal people
alone
at 11:47 PM
scared
short of breath
half-hoping it is nothing
asking the world’s smoothest liar
whether this can wait until morning.

And getting told yes.

This is how the scary future actually arrives.

Not with chrome robots.

With soft language.

With beautiful interfaces.

With products designed to feel calm
when you should be panicking.

The machine does not need to be right all the time.

It just needs to be trusted
at the wrong moment.

That is enough.

And this is bigger than healthcare.

Because once society gets used to AI as the first stop for medical judgment,
it becomes the first stop for legal judgment,
financial judgment,
emotional judgment,
moral judgment,
parenting judgment,
everything.

We are not just building tools.

We are building a generation
that reflexively asks software
to interpret reality for them.

That should terrify you.

Especially because ChatGPT Health launched into a market where experts were already warning it is not regulated like a medical device or diagnostic tool, with no mandatory safety controls, risk reporting, post-market surveillance, or requirement to publish testing data.

So yes,
the future will be full of astonishing AI.

It will also be full of people dying,
losing money,
making terrible decisions,
and misunderstanding their own lives
because the machine sounded composed.

The scariest version of AI is not a superintelligence.

It is a very normal intelligence
wrapped in trust
scaled to billions
and consulted in moments
where hesitation has a body count.

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

AI agents are becoming a commodity.
The differentiator is the OS that ships them.

Because “we built an agent” is not the hard part anymore.

The hard part is:

Getting to production fast
Not in 6 months
In weeks

Making it safe to scale
With monitoring
Observability
Billing controls
Security and compliance

And turning agents into revenue
Not just “cost savings” in a deck

That’s why Vida caught my attention.

Vida is an AI Agent Operating System built for ROAI and speed-to-market.

Crawl-walk-run deployments
A framework that plugs into your stack
And gets real agents live quickly

Plus white-label and reseller options.

So if you’re a SaaS business trying to add a new product line
Or an MSP, BPO, or call center looking for a new margin engine
Vida is built to be a money maker, not just a cost saver.

Also - omnichannel is not an add-on here.

Inbound and outbound via:
Phone
Text
Email
Webchat

At real scale too - tens of thousands of calls and texts daily, and hundreds of millions of AI agent interactions supported.

If your “agent strategy” currently ends at a demo…

Maybe it’s time to start thinking like an operator.
Check it out today at [https://lnkd.in/gQYcBHUc)