Lana Shlafer

CMO @cashflowyai | Building AI fintech in public. Siberia-born native Esperanto speaker, mom of 3. Biohacking tech, health, mindset & motherhood.

[Lana Shlafer @lanashlafer]

@MichLieben Ads

[Lana Shlafer @lanashlafer]

@MichLieben Ads

[Lana Shlafer @lanashlafer]

@annimaniac Great article. We are working on rolling this these layers out in our company and it’s harder it seems to get adoption and ensure consistently great outputs.

[Lana Shlafer @lanashlafer]

@alt_w_v_g People are frequently telling me to slow down and I usually say, how about you keep up?

[Lana Shlafer @lanashlafer]

MIT's neural networks module taught me this...

The more I learn about AI, the less "intelligent" it seems.

And the more impressive human brains become.

It's good to be human. ☺️

[Lana Shlafer @lanashlafer]

@adamtaylorl Meta

[Lana Shlafer @lanashlafer]

Well damn

[Hedgie @HedgieMarkets]

🦔A researcher invented a fake eye condition called bixonimania, uploaded two obviously fraudulent papers about it to an academic server, and watched major AI systems present it as real medicine within weeks.
The fake papers thanked Starfleet Academy, cited funding from the Professor Sideshow Bob Foundation and the University of Fellowship of the Ring, and stated mid-paper that the entire thing was made up. Google's Gemini told users it was caused by blue light. Perplexity cited its prevalence at one in 90,000 people.

ChatGPT advised users whether their symptoms matched. The fake research was then cited in a peer-reviewed journal that only retracted it after Nature contacted the publisher.

My Take
The researcher made the papers as obviously fake as possible on purpose. The AI systems didn't catch it. Neither did the human researchers who cited it in real journals, which means people are feeding AI-generated references into their work without reading what they're actually citing.

I've covered the FDA using AI for drug review, the NYC hospital CEO ready to replace radiologists, and ChatGPT Health launching this year. All of that is happening in the same environment where a condition funded by a Simpsons character and endorsed by the crew of the Enterprise was being presented as emerging medical consensus. The people making these deployment decisions seem to believe the pipeline from research to AI to patient is more supervised than it actually is. This experiment suggests it isn't supervised much at all.

Hedgie🤗
https://t.co/8Kg8FOrgHW

[Lana Shlafer @lanashlafer]

@ankurnagpal Thanks for posting this at the exact time I needed this!

[Lana Shlafer @lanashlafer]

@matthewesp @ankurnagpal According to Grok, this is nothing we the case as of 2026 update. When did you attempt to file online? I’m just trying to figure this out now.

[Lana Shlafer @lanashlafer]

@GrammarHippy Details

[Sacha Dumay @dumay_sacha]

revamping our onboarding fully and getting inspired by @outrank_so for the sign-in page

simple and hopefully effective

[Lana Shlafer @lanashlafer]

@SomebodyGr8t @theisabelb So it’s a quiz to see if they can guess where they actually should go?

[Lana Shlafer @lanashlafer]

@orsobjp @drgurner Well said! I’m on my third rebuild and that lat line hits hard.

[Lana Shlafer @lanashlafer]

@drgurner I’ve done this twice and now on the third round. It’s always daunting but so rewarding.

[Lana Shlafer @lanashlafer]

Yes!!

[Dr. Julie Gurner @drgurner]

I hope people realize, you can reclaim your life at any time.

With rare exception, you can mess up, be down on your luck, and lose almost everything and rebuild.

This is always the season.
You start where you start.
Use the holiday as an excuse to give yourself a new life.

[Lana Shlafer @lanashlafer]

@mike_revenue @MarketingMax Blueprint

[Michael Davidson @mike_revenue]

I helped raise a company from $493K to $1.6M in valuation, spending 70 hours building a $35M AI operations system for them.

The founder was working 58 hours weekly before he came to me

But now is down to 25 hour weeks. ~zero time in delivery. 
( Profit margin also increased from 22% to 35% too )

> The founder was personally involved in 83% (exact % btw) of revenue. 

> 7 employees and most decisions still found their way escalating to him
> couldn't take a weekend off without his phone blowing up

we mapped every function in his business. what's actually keeping clients vs what's just keeping him busy.

69% of the operation was DRAG. reporting. project setup. invoice follow-ups. QA reviews. status calls. onboarding ran from memory every time. Scattered client data across multiple softwares.

so we stripped it all and here’s what we built to replace it:

> custom dashboard replaced him checking 6 tools every morning.
> AI agents took over reporting, proposals, and client updates.
> decision frameworks so the team stops asking him every question.
> QA system so he's not reviewing every deliverable.
> onboarding automated with material collection and client context immediately ingested Day 1.

The result:

> decrease his work load from 58 hours to 25 hour weeks. ~zero time in delivery.
> profit margin raised from 22% to 35%.
> valuation increase from $493K to $1.6M. (proprietary data set, owned software infrastructure, new revenue channel via system installation fees)

same clients, smaller team, same revenue. 

Now that his time is freed up , he’s taking on double the number of clients with this NEW AI architecture.

If you want me to do the same for you,

I’m giving away all of these for free: (today only)

1. How this $35M AI operations system works

2. Full Aerodynamics Audit — 75-question diagnostic that scores your business 0-100 on founder dependency, function maturity, systems infrastructure, revenue health, and AI readiness. Takes 60 minutes. You'll know your exact drag percentage down to the hour.

3. Drag Map — function-by-function breakdown showing which of your 10+ core business functions are load-bearing vs. drag, rated 1-5 on maturity. Most founders discover 60-85% of their hours are drag.

4. Financial Impact Report — what your drag costs you per month in dollars, what your valuation looks like with vs. without systems, and the margin unlock if you strip it.

5. Build Sequence — the exact order to systematize your operations so nothing breaks. Which function first, which stays human, what gets built in week 1 vs. week 2 and so on based on 30+ builds across 12 industries.

Comment "blueprint" to receive all 5 of these :)

( must follow + RT so I can DM )

[Lana Shlafer @lanashlafer]

You spent dozens of hours setting up ClickUp.
Your team still manages everything in Slack. 🤦‍♀️

Switched from ClickUp to Basecamp this week.

ClickUp had every feature imaginable.
But hardly anyone actually used it.
Everything just ended up on Slack.

After months we decided to make the switch.

Now the hard part: retraining the team to actually use Basecamp. 🥵

What tool do you use to manage projects?

[Lana Shlafer @lanashlafer]

I tracked with Whoop for a few years and it was super useful to learn about what impacts my body and in what ways... now I continue to use what I learned but without any wearables (that emit EMFs so I didn't want to keep wearing 24/7). I do miss seeing my stats go up - so satisfying!

[Lana Shlafer @lanashlafer]

@Brave_josh1 I try to go to bed by 9:30/10 even though it feels so early!

[Lana Shlafer @lanashlafer]

"I can't work with a remote team across time zones."

You can. You just don't want the discomfort.

Necessity doesn't force compromise - it forces creativity.

Most of the Cashflowy team is in Lisbon. I'm in Puerto Rico.

Instead of the usual solutions (hire local, go async, lose momentum), I adjusted:

⏰ 6am wake up
🖥️ 7am work start (no morning workout)
🗣️ Quick team syncs first thing
🚶 Treadmill under desk = walk every meeting

Wins:
✅ More done by 10am than I used to all morning.
✅ Afternoon weight training 3x/week = better gains.

Challenge:
❌ Cooked by 9pm. One sick kid night or weekend plans throws everything off.

🤔 Experiment: one Friday "late-night pass," then Sat/Sun to reset.

Constraints don't limit you. Your refusal to adapt does.