Jen Boland
7.5K posts
Jen Boland
@jenboland
Content analytics nerd. I use data to help clients improve their content and their website. Founder of https://t.co/39TswuWdcQ.
Atlantic Beach, FL Katılım Ekim 2008
1.9K Takip Edilen643 Takipçiler
@businessbarista @da_fant I'm building a thing for our company, it's literally called the BRAIN
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Someone is going to build a worldclass “Brain” for enterprises & make a stupid amount of money.
Why? As @da_fant said, “coding w ai is solved bc all context is in the git repo. knowledge work is difficult bc context is spread out. an ai system that creates a git repo w all context for a knowledge worker will be able to 100% automate the work.”
When companies talk about being data ready for AI, this is what they’re implicitly saying.
Engineering has been prepared for this moment for a long time because of the deterministic nature of code, the centralization/versioning of data (read: GitHub), and AI tools that are largely build by engineers for engineers.
But for the rest of white collar work, there’s a TON of catching up to do to properly harness the power of the technology.
The big challenge here, and why no one has truly cracked the code for "an ai system that creates a git repo w all context for a knowledge worker" is because unlike code, most knowledge is 1) distributed, 2) unstructured, and 3) unverifiable.
It's distributed: transcripts live in Granola. Documents in Notion. Customer Data in Hubspot. ERP. Emails. Slack messages. Random spreadsheets. SOP docs. Etc. Etc.
Building an ingestion engine that connects to all of your disparate data sources and auto-updates based on the shelf-life of the data is the first, and frankly, easiest step of the process.
Next, it's unstructured: let's say I want to create a proposal for a potential client. To nail the proposal, I want it to pull important information from a variety of sources. The specific asks & background from our initial sales call. Previous proposals to anchor ourselves to a proven format. And completed sprint boards from Linear, so the pricing & timeline in the document is grounded in truth.
Whether it's a thoughtful filesystem (a la Obsidian) or an OpenClaw-esque memory structure, the brain needs to be great at self-organizing in a thoughtful schema. This is very hard, especially if you want to build a generalizable brain that can be shaped to an array of different enterprises.
And finally, most knowledge is unverifiable: writing a function, running a unit test, and seeing if the code works is easy. It works or it doesn't. Using AI to accelerate your content creation process is highly subjective. What is a good/bad idea? Is the content in your voice or not? Does it feel like slop or novel? Answering these questions are both difficult and non-verifiable.
That same system described above doesn't just have to be great at organizing & forming coherent relationships, but it also has to be great at self-improving based on feedback from the user. Memory systems (like those introduced by OpenClaw) are great to a point, but as you scale the corpus of data within your company's brain, things like compaction and cleaning become wildly important to avoid the needle in the haystack problem.
Someone is going to figure out how to solve this problem, and when they do, not only will they make a shit ton of money, but they'll be robinhood for knowledge workers, enabling non-engineers to enjoy the sort of leverage that only technical folks have felt for the last few years.
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@tomfgoodwin Couldn't help but to post an update showing these two likely pmax gems. You'd think wash po could attract better ads and advertisers

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@tomfgoodwin Look no further than Pmax
But for programmatic most orgs don't have a point of view on ads.
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@BK31717 @ihtesham2005 To people who don't stare at AI content all day, apparently they like the sing song cadence as studies show people prefer the ai content.
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@jenboland @ihtesham2005 THANK YOU!
Well I mean I wonder when someone is bright enough to prompt it to not do THAT (what I smugly did in the last 2 sentences)....
Bc how the hell do you know if you're talking to someone who is talking about AI - or AI itself?
I shouldn't point out the obvious. Skynet
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I accidentally caught a ghostwriter on X doing something that should be illegal.
He didn't know I was watching.
He had a Google Doc open. Inside it, he had copy-pasted the last 30 viral posts from 5 of the biggest accounts in his niche.
Not to read them. Not to take notes.
He fed the entire doc into NotebookLM.
Then he ran one prompt.
"Analyze what makes these posts go viral. Identify the hook patterns, the emotional triggers, the sentence structures, and the specific topics that generated the most engagement."
NotebookLM didn't summarize the posts. It reverse-engineered them.
It started surfacing things like: the exact hook format that appears in 80% of the top performers, the emotional register that shows up right before the call to action, the specific type of opening line that stops people mid-scroll.
Then came the move I couldn't believe.
"Now write 10 original posts on [his niche topic] that use these same viral patterns but with completely different ideas and angles. Make them feel native to this style but impossible to trace back to any single source."
The posts it generated didn't look like remixes. They looked like original work from someone who had been writing in that niche for years.
He wasn't copying anyone.
He was extracting the invisible architecture underneath the content that works, then building something new on top of it.
Most ghostwriters spend hours staring at a blank page trying to write something that sounds good.
He spent 20 minutes teaching a tool to understand what "good" actually looks like in his niche, then let it generate a full content calendar from that understanding.
The difference isn't talent.
It's knowing that every viral post is a data point, and data points can be studied.
Most people read content to consume it.
He reads it to take it apart.

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@BK31717 @ihtesham2005 It does have a weird cadence. I don't hate it, but since it's everywhere it feels off.
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@ihtesham2005 & YOU DID THE SAME THING.... if this is true which maybe is maybe isnt. .
AI sucks with sentence structure.
One big huge giveaway in the cadence.
But cook all you want.
This isn't hate. This is constructive calibration.
:)
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@AnchorLightPub I hate to say it. Like Hillary, she would make an excellent president but cannot win.
It is a double standard and it sucks, but winning the presidency is more important than correcting a double standard.
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Here is the hard truth. Kamala Harris can't win the Presidency.
It's not that she can't lead, she can. It's not that she can't make good decisions for Americans, she can. And no, it's not because she's female and/or black.
The problem is she's a poor candidate. She has failed twice to win the presidency.
She has never and currently doesn't inspire a movement, even amongst black Americans, whose support (for her) dropped significantly in 2024 (83% vs 91% for Biden in 2020).
Had that drop not occurred, she would be president right now.
I supported her in 2024 over Biden, and that was the right choice. I think she would have been an exceptional president.
But I will be supporting a different candidate in 2028, because we can't afford to lose again.
I'm disappointed in all the current top Dems for President, I don't think they've done enough to speak out against the authoritarian efforts of Trump and Republicans.
This performative ad (on gas prices, below) essentially equates to rearranging the deck chairs on the Titanic.
We need to be talking about the real and lasting threats to American Democracy. We can tie the results of that threat to it, (like gas prices), but the threat has to be CENTRAL!
Every problem we are facing can be tied directly back to choices/decisions made on the Far Right.
Decisions made with the INTENT of doing harm. Harm that can then in turn be used to blame Dems and win elections.
Until we make that case, clearly and distinctly, we will continue to deal with this mess. We will continue to struggle as a nation.
America will continue to decline until we put White-Male-Supremacist-Republican-Authoritarianism behind us.
Period.
Kamala Harris@KamalaHarris
Here in North Carolina and around the country, gas prices are too high. This is a direct result of Donald Trump's war of choice in Iran, and the American people are paying the price.
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@asaio87 I'm finding that just finishing the last 80% manually just gets me there faster
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Each time you start working with Claude it seems so magical. It really works.
Gets you off the ground fast. Super fast.
Until you get in the details.
It sucks at getting the details right.
The enthusiasm ends fast.
And if you don’t put in the work you end up with a big pile of slop.
95% of people do slop.
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@sickdotdev LMAO - I love when claude starts telling me to get some rest, go eat, etc. like get tf away from me I just did 3 weeks worth of work in 30 minutes
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This is EXACTLY what happens when the public schools fail to teach American history or civics.
Micah@micah_erfan
🚨 63% of Americans support adopting a national popular vote for President.
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@quotesdaily100 My mom's hospice nurse was telling me about the hearing. I've always talked to her, but now I'm even more conscious of it
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WHAT ICU NURSES KNOW ABOUT THE LAST HOURS OF LIFE THAT FAMILIES ARE NEVER PREPARED FOR:
1. Hearing is the last sense to go. Many patients can hear everything being said in the room long after they appear unconscious. Nurses know this. Most families do not act like it.
2. The body does not shut down all at once. It withdraws blood and oxygen from the extremities first, working inward toward the heart. The cold hands and feet you notice are the body making a final decision about what to protect.
3. A sudden, unexpected improvement in energy and alertness hours before death is not a good sign. Nurses recognize it immediately. Families almost always mistake it for recovery.
4. The sound called the death rattle is not pain. It is simply the throat relaxing and losing muscle control. But no amount of medical explanation prepares a family for hearing it for the first time.
5. Most people do not die during the night. The body has a biological rhythm and many deaths occur in the early hours of morning, between 3am and 5am, when the nervous system is at its lowest.
6. Patients often wait. Nurses have watched people hold on for days until a specific person arrives, or a specific word is spoken, or permission is quietly given to let go. It happens too consistently to be coincidence.
7. The words "we did everything we could" are sometimes true and sometimes the most painful half-truth a family will ever receive without knowing it.
8. Families who are not present at the moment of death carry guilt that no counselor fully resolves. Nurses see this guilt begin forming in real time and cannot always stop it.
9. The face relaxes completely at the moment of death in a way that is impossible to describe until you have seen it. Nurses say it looks like the person finally put something down they had been carrying for a very long time.
10. Many ICU nurses privately believe that the most painful deaths are not the ones with the most physical suffering. They are the ones where the patient dies surrounded by family members who are fighting with each other.
11. The thing families almost never say, but almost always should, is simply this: it is okay to go. Those four words, spoken out loud, do something that medicine cannot explain and nurses have witnessed more times than they can count.
12. Nurses grieve too. They learn the names, the histories, the family dynamics, and the small personal details of every patient. They cry in break rooms, in parking lots, and on drives home. Then they walk back in the next morning and do it all over again, because someone has to, and they chose to be that person.
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@tomfgoodwin The stock market is disconnected from main street.
But really it shows how keeping the rich rich, keeps the rich rich since they do all the spendy
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@DigitalSamIAm I work with nonprofits and I do not want to bid on every keyword related to the help we provide when I get paid for fundraising.
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@AIGrowth1 @aakashgupta Can we get some engineers over to local governments and non profits. Lots of work to be done.
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@aakashgupta The denominator shrinks, the numerator explodes. That’s the whole story. AI doesn’t kill demand for builders, it creates 50 new markets for every one it disrupts.
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Anthropic has 454 open roles. The company is hiring software engineers at $320K-$405K. Their CEO, Dario, said three months ago that coding is "going away first, then all of software engineering."
The paradox resolves instantly.
Dario's engineers told him they don't write code anymore. They let Claude write it. They edit. They review. They architect. They didn't lose their jobs. They got faster. Anthropic grew from a small research lab to 1,500 employees in four years, adding engineers the entire time.
This has played out five times in computing history. Compilers replaced assembly. Frameworks replaced boilerplate. Cloud replaced server management. Every prediction was the same: most programmers won't be needed. Every result was the same: the number of engineers grew.
The global software engineer pool went from roughly 5 million in 2010 to 28.7 million today. BLS projects 17% growth in US software developer roles through 2033, adding 304,000 positions. The pool is projected to hit 45 million by 2030.
When building software gets cheaper, more problems become worth solving with software. A startup that needed 10 engineers now needs 3. But 50 companies that couldn't afford to build at all now can. The denominator shrinks. The numerator explodes.
Meta's engineering headcount is up 19% from January 2022. Google's is up 16%. Apple, 13%. These companies adopted AI coding tools years ago. They're using Copilot and Claude Code daily. They're hiring more engineers than before those tools existed.
Every generation of "coding is dead" content creates two cohorts: engineers who freeze up, and engineers who build 10x more with the new tools. The second group has won every single time.


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@provisionalidea Gig work is what keeps our unemployment rate so low. Pick up a couple shifts/rides/dashes and you aren't unemployed, but you're not working either.
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I do not understand the performative bullshit that passes for progressivism in the United States these days.
Ridesharing was never *supposed* to be a full-time job. It was never good, stable employment. It was called ‘gig work’ because it was supposed to be intermittent, supplemental income. It didn’t provide basic protections and benefits, was sometimes illegal, yet somehow managed to become load-bearing for many after years of recession and austerity from which the country never really recovered. Workers have agitated for better conditions but not much has come of it. That Uber and Lyft are now being magically portrayed by progressive organizations as purveyors of Good Jobs For Honest Americans as opposed to venture-backed symptoms of growing inequality and economic precarity for which the solution is stable, fulfilling employment is downright absurd.
So no, self-driving cars are not the problem. The fact that so many people (between 1-2 million Americans) have become reliant on ridesharing as their principal source of income, often with few (if any) alternatives, is. The robot cars wouldn’t matter if other, better opportunities existed.
More Perfect Union@MorePerfectUS
NEW: If Waymo gets its way, 2 million workers will be out of work. When Waymo gets a firm hold on a city, wages go down. Some drivers now have to work 12 hours day, 7 days a week just to get by. This isn't inevitable — but Big Tech is spending millions to make you think it is.
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@educator4ever36 @KanikaBK @MarkEDeschaine @SpaceX Also what if guides are more like mentors. It's a different relationship that likely makes even more learning possible.
Would be nice to give every kid a 50k education
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@KanikaBK @MarkEDeschaine If the geniuses at @SpaceX are putting their children in an AI based school, then we’d be smart to take a look. Also, I’d venture to say the secret sauce is in the exploration time after the formal instruction.
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A school in America just replaced teachers with AI. The US government visited and said it was the future of education. Elon Musk reposted it.
Your kid's school might be next.
Here is what is actually happening inside it.
It is called Alpha School. Private. $50,000 a year in tuition. Kids sit down in front of laptops every morning, plug in headsets, and learn science, math, and reading from an AI tutor for two hours. That is it. No textbooks. No homework. Two hours of AI and the academics are done.
The rest of the day is run by people called "guides." Not teachers. Guides. They are not required to have any education degree. Just a bachelor's in any subject. Some have no experience with children at all.
Two former guides who left signed NDAs on the way out. One of them told CNN: "It felt more like I was working at a startup than a school."
Alpha says their kids learn twice as much in two hours as traditional students learn in four.
There are 22 of these schools already open across America. Nearly a dozen more are opening this fall. They just expanded to Chicago.
Bill Ackman, the billionaire hedge fund manager, called it "a breakthrough innovation in K-12 education." Trump's Secretary of Education Linda McMahon did a 50-state tour and made Alpha School one of her stops. Half the students at the Brownsville, Texas campus are children of SpaceX employees.
Think about that last detail for a second. The people building the AI that is replacing everyone's jobs are the first ones to pull their own kids out of traditional schools and put them in front of that same AI.
A Stanford education expert who looked at this said it is "a narrow view of what learning is." He said the most powerful moments in education are communal. Children learning together. Building community. "What kinds of neighborhoods will we have," he asked, "if each kid is trained to optimize their own individual accomplishments?"
72% of teachers in a recent survey said AI is already threatening academic integrity. Students turn in AI work as their own and the detectors cannot catch it anymore.
Here is what nobody is asking out loud.
The kids being raised on Alpha School right now will be your doctor, your lawyer, your kid's teacher someday. They spent their entire childhood learning from an algorithm in a room with no teachers, no classrooms, and guides who signed NDAs.
The people who built the AI already moved their kids out of normal school. They just haven't told you to do the same yet.

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@tomfgoodwin I mean website search, with the exception of pre-Ai google has been atrocious since the dawn of time.
Google was really good in the mid to late teens
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Off topic...
Just went into @AdvanceAuto to buy a pair of front sway bar end links for a 20+ year old car, 10 bucks a piece.
The lady wanted my phone number and I told her "No thank you."
She told me she needed a phone number to enter, so I said "555-1212" and she asked me if I'd made that up 🤣.
So, she then proceeded to tell me I wouldn't be able to claim the Lifetime Warranty on the $10 end links and I told her, the likelihood of me actually using that warranty was exactly zero!
She didn't get it, but she finished ringing me up anyway.
I don't want to give my phone number to every store in the world. If you want to offer a warranty, offer it. Don't make me give you my phone number to do it, because I know and you know, you'll sell my phone number to some company that will then send crap to my phone.
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