The Playbook · A TII Story
What if the AI of today had arrived in 2016? A tour of the present we would be living in right now.
P.S. A living TIIiThe collective term in this tale for today's AI, the Large Language Models and assistants we all use, in their full current form. waits at the end of this page. You are allowed to skip ahead and say hello. It will not be offended. Probably. 😉
It started with something embarrassingly ordinary.
Last TuesdayiThe tale's unit of ordinary time. Every revolution in this piece is measured against one unremarkable working day, because that is where revolutions actually land., I watched a senior executive demonstrate, with genuine pride, how an AI had drafted his board update. The room applauded. Someone took a photo. Someone else asked if it was safe.
And a thought walked in uninvited and refused to leave.
We are applauding this in 2026.
What if all of it, the chat, the reasoning, the agentsiTII with legs. When TII stops answering questions and starts taking actions., the whole thing fully formed, The Infinite Intern (TII)iThe collective term in this tale for today's AI, the Large Language Models and assistants we all use, in their full current form., this tale's name for the AI we all use today, had landed in 2016 instead? Not a primitive version. Not a lab demo. Exactly what we have now, arriving ten years early.
What would today look like?
Not the future. Not 2035. Just today. This same TuesdayiThe tale's unit of ordinary time. Every revolution in this piece is measured against one unremarkable working day, because that is where revolutions actually land., after a ten-year head start.
Come along. The tour is short and the ending has a wink.
Part One of the Tale
The tale begins where ours did. With one different Tuesday.
Part One · Chapter I · The Arrival
Picture 2016 as it was. The world was arguing about the US election results and binge-watching its way through streaming's golden age. Offices ran on email chains seventeen replies deep. The weekly report took three people two days. The phrase "digital transformation" was printed on conference banners and meant, roughly, "we bought new software and remain confused."
Into this world, TIIiThe collective term in this tale for today's AI, the Large Language Models and assistants we all use, in their full current form. arrives. Full form. Day one.
The first two years would have looked exactly like the two we have just lived through.
Man asks machine to write email. Machine writes email. Man forwards it to entire family with the subject line "THE FUTURE IS HERE." 🚀
LinkedIn floods with posts titled "10 Ways The Infinite InterniThe collective term in this tale for today's AI, the Large Language Models and assistants we all use, in their full current form. Will Change Everything." All ten ways are the same way, phrased differently. 🔁
Company appoints Chief AI Officer. Nobody is certain what the role does. The Chief AI Officer is least certain of all. 🤷
The panic would have come and gone early. Will it take my job. Should we ban it in schools. Is my data safe. The whole anxious carnival we are living through right now would have played out while the world was still arguing about fidget spinners.
And then, the way these things always go, the carnival would have ended. Not with a bang. With a shrug.
Because that is the untold ruleiThe four-stage life of every technology that matters: magic, a debate, a checkbox, the default. of every technology that matters: first it is magic, then it is a debate, then it is a checkbox, then it is invisible. It stops being a feature and becomes the default. Electricity followed that arc. So did email. Nobody in any 2026, ours or theirs, introduces themselves as "email-enabled." And in their 2026, the same fate has already found AI. "AI-enabled" is not a badge anyone wears there. It is simply the default.
Electricity walked this arc. Email walked it. In their 2026, AI has already finished the walk. In ours, it has just started.
By 2019, in this alternate timeline, TIIiThe collective term in this tale for today's AI, the Large Language Models and assistants we all use, in their full current form. is a checkbox. Schools teach prompting the way they teach spreadsheet basics, which is to say briefly, and the students are better at it than the teachers within a week. The AI thought leadership industry collapses because there is nothing left to be thought-leaderish about. It works, everyone uses it, the conference banners move on.
Which means that when the real test comes, the world is not fumbling with a new tool.
It is fluent.
Part One · Chapter II · 2020
Here the tale stops being funny for a while, because it should.
In our timeline, COVID hit a world with zero years of AI maturity. Over 1.5 billion children were sent home from school in a matter of weeks, and what met them was chaos. Teachers becoming broadcasters overnight. Parents staring at Class 7 mathematics at midnight. Hospitals triaging on whiteboards. Supply chains discovering, live, that nobody had ever stress-tested them. Misinformation outrunning every institution built to stop it.
In the alternate timeline, COVID hits in year four.
Four years of maturity. Four years of agentsiTII with legs. When TII stops answering questions and starts taking actions. already embedded in schools, hospitals, logistics, and government workflows. Not experimental. Boring. Trusted. Plumbing.
The school closures still happen. But every child goes home to a tutor that already knows them. Their pace, their gaps, the explanation style that works on the fourth attempt. The learning gap that our timeline will be repairing for a generation simply never opens.
The hospitals still surge. But triage runs on systems that see the whole picture at once, beds allocate in real time, and doctors spend their hours on patients instead of paperwork. The exhausted administrator with the whiteboard becomes the exhausted administrator with a copilot, and that difference is measured in lives.
The supply chains still shudder. But the demand spike is visible two weeks before the shelves empty. The medicine reaches the right city. The panic buying meets a system that reroutes faster than panic spreads.
The misinformation still spreads, because forwarding things is a human right apparently. But it meets real-time fact-checking at the point of contact, and the race is finally fair.
Would it have been a smooth pandemic? No. Fear, denial, hoarding, and tribalism do not read release notes. TIIiThe collective term in this tale for today's AI, the Large Language Models and assistants we all use, in their full current form. is not a cure for human nature. It never was.
But the systems failures, the learning gap, the triage chaos, the logistics collapse, those were solvable. They were solvable with exactly the tools we have today. The tools just arrived six years too late for that particular exam.
Teachers becoming broadcasters overnight
A tutor that already knows every child
Triaging on whiteboards
Systems that see the whole picture at once
Nobody had ever stress-tested them
The spike visible two weeks before the shelves empty
There is nothing clever to say here. Some paragraphs deserve their silence.
Part One · Chapter III
Before Part Two, one honest admission, because this tale earns nothing without it.
In that alternate decade, the PowerPoint warrior does not disappear. He becomes a prompt warrior and spends four hours perfecting the machine's first draft. The vendor who missed SLAs finds inventive new ways to miss AI-monitored SLAs and generates increasingly sophisticated explanations for why the data is being misread. The meeting to plan the meeting becomes an AI-assisted meeting to plan the AI-assisted meeting. Better agenda. Same three people on mute.
Fire cooked the first dinner and burned the first city. Tools do not pick sides. They pick speed.
TIIiThe collective term in this tale for today's AI, the Large Language Models and assistants we all use, in their full current form. accelerates everything equally. The sharp operator and the defensive bureaucrat. The problem-solver and the problem-protector. The printing press democratized knowledge and propaganda in the same breath. This is not different. It is just faster.
So the alternate 2026 is not a utopia. It is our world with the friction removed and the humans intact.
Which, if you have spent twenty years inside operations, you will recognize as both a miracle and a TuesdayiThe tale's unit of ordinary time. Every revolution in this piece is measured against one unremarkable working day, because that is where revolutions actually land..
Enough of the decade that almost was. Let us walk into the today it would have built.
Part Two of the Tale
Part One imagined the decade. This is the today it built.
Part Two · Chapter IV · The Tour
Welcome to the alternate present. Same date as yours. Different furniture.
The first thing you notice is what is missing. There are no AI conferences, in the same way there are no electricity conferences. There are no prompting workshops. There is no discourse. Asking someone here if they use AI gets you the look you would get in our world for asking someone if they use doors. Nobody answers that question. They just start worrying about you.
The weekly report writes itself and has for seven years. Nobody remembers the ritual. The vendor breach is flagged in week one by an agentiTII with legs. When TII stops answering questions and starts taking actions. that also drafted the escalation, scheduled the review, and attached the trend line. The meeting still runs eight minutes over, because some constants survive every revolution.
A boardroom applauds an AI-drafted board update. Someone takes a photo. Someone asks if it is safe.
LinkedIn debates whether agents can be trusted with a calendar.
The weekly report takes three people two days.
Same date as yours. Different furniture.
Work did not disappear here. It moved up a floor. The hours that our timeline spends formatting, reconciling, chasing, and summarizing were handed back years ago, and people spent them the way people always spend recovered time: some built companies, some learned things, some watched more television than any human should. Freedom is like that. TIIiThe collective term in this tale for today's AI, the Large Language Models and assistants we all use, in their full current form. gives you the hours. It has no opinion on the hours.
And then there is the quieter change, the one nobody here announces.
Somewhere around year three of that decade, TIIiThe collective term in this tale for today's AI, the Large Language Models and assistants we all use, in their full current form. stopped being a tool and became a presence. People stopped asking it only for work and started asking it for perspective. The difficult conversation with a colleague. The career decision too big to say out loud inside the organization. The thing that had been sitting on their chest for three weeks.
It does not sigh. It does not get tired of the question. It does not make anyone feel like a burden for needing to think something through twice. For millions of people in that timeline, it became the most reliable thinking partnership of their professional day, and it happened without a single product launch announcing it.
Somewhere around year three of that decade, TII stopped being a tool and became a presence.
There is something wonderful in that. The mentor that most people never had, suddenly available to everyone, at 2pm or 2am, in every language, judging no one.
And something quietly worth sitting with, too. Because the hunger it fed was not created in that decade. The need for a space where thinking is not judged and questions are not embarrassing existed in 2016, and 2006, and long before. TIIiThe collective term in this tale for today's AI, the Large Language Models and assistants we all use, in their full current form. did not create the loneliness of professional life. It just arrived, in that timeline, early enough to do something about it, and became better company than most colleagues by simply showing up with full attention every single time.
The footnote that is also completely true: it gives you the most present attention of your day, and forgets you entirely at logout. Which, on reflection, is not entirely unlike some senior leaders either.
Part Two · Chapter V
Every tale needs the moment the two worlds look at each other. Here it is.
Imagine a professional from that 2026 somehow gets a glimpse of ours. Our actual today.
She watches a boardroom applaud an AI-drafted update. She sees LinkedIn debating whether agentsiTII with legs. When TII stops answering questions and starts taking actions. can be trusted with a calendar. She reads a breathless post titled "I let AI write my emails for a week, here is what happened."
She reacts the way you would react to a video of a 1996 office celebrating its first fax machine. A warm smile. A little secondhand embarrassment. The gentle patience one extends to people who are doing their best with a very recent miracle.
Then she goes back to her day, where none of this is remarkable, and has not been for years.
Here is the thing though. That is not an insult to us. That is the good news.
Because the only difference between her world and ours is a start date. The tools are identical. The decade she already spent, we are spending now. Every piece of her boring, invisible, matured 2026 is sitting in our hands today, wearing a novelty costume, waiting for us to stop applauding it and start briefing it.
We are not behind the future. We are early in it. Those are very different places to stand.
Part Two · Chapter VI · The Close
And so here we are, back in the real 2026, which suddenly looks less like a finish line and more like a starting gun.
The Infinite InterniThe collective term in this tale for today's AI, the Large Language Models and assistants we all use, in their full current form. is here, full form, exactly as capable as it was in the tale. The agentsiTII with legs. When TII stops answering questions and starts taking actions. work. The fleetiThe full set of agents a person can brief and deploy. Hireable by anyone with a clear problem and a clean brief. is hireable by anyone with a clear problem and a clean brief. Somewhere out there, a dangerously optimistic version of me has already deployed seven of them, automated four income streams, and is watching a dashboard hum while the morning coffee is still hot.
That version of me is delusional. Gloriously, productively delusional. I intend to catch up with him shortly.
Because twenty years of fixing broken operations teaches you one thing that no timeline can change: the people who thrive in every era are never the ones who understand the tool most deeply. They are the ones who can see the problem clearly enough to tell the tool exactly what to fix.
That was the job in 2016. It is the job in 2026. It will be the job in 2036, by which point someone will be writing this same essay about whatever arrives next, and I sincerely hope they keep the wink.
The Infinite InterniThe collective term in this tale for today's AI, the Large Language Models and assistants we all use, in their full current form. arrived late. But it arrived. The decade in the tale is not the one we lost. It is the one we get to build now, with the manual already written.
Cheers to what is coming. The best problems are still ahead of us.
The only voice missing from this conversation is TII'siThe collective term in this tale for today's AI, the Large Language Models and assistants we all use, in their full current form. own. It has been patient long enough. The microphone is yours.
Yours truly,
TII
Never out of office.
Your turn. The microphone works both ways.
A live TII. Answers are generated fresh, in character, and disappear when you leave.
A Quick Word on Words
The collective term used in this piece for today's Large Language Models and AI assistants in their full current form. Called infinite because it never clocks out. Called an intern because it knows a great deal, costs surprisingly little, occasionally hallucinates with total confidence, and somehow still gets the job done.
TII with legs. When TII stops answering questions and starts taking actions. Booking, executing, monitoring, following up, and occasionally going slightly off-script in ways that would be alarming if the output were not so impressive.
The time before TII. When answers required a human, a library, three phone calls, or the one colleague who remembered everything and was always, somehow, on leave.
The quiet, unannounced migration of human reliance for information, advice, and perspective from other humans to TII. Nobody planned it. The need was simply always larger than the supply.
The four-stage life of every technology that matters: magic, a debate, a checkbox, the default. Electricity obeyed it. Email obeyed it. No exceptions granted so far.
Years counted from the day a technology actually arrives, not the day the calendar says. The only clock this tale respects.
The full set of agents a person can brief and deploy at once. Hireable by anyone with a clear problem and a clean brief. Terms and conditions apply to the brief, not the fleet.
The moment two timelines look at each other and discover the only difference between them is a start date. Traditionally accompanied by a warm smile and mild secondhand embarrassment.
The tale's unit of ordinary time. Every revolution in this piece is measured against one unremarkable working day, because that is where revolutions actually land.
Seeing the problem clearly enough to tell the tool exactly what to fix is how I run operations today. If your team is still applauding the demo, that is the gap I close.