The Fractional Playbook + AI Made Work Fun Again

AI Made Work Fun Again

The loop between idea and execution got a lot shorter.

AI Made Work Fun Again

Quick note: I’m hosting small meetups for fractionals and operators in Toronto, and we’re starting to bring them to other cities too.

Toronto, March 26 waitlist: sign up here
Future events + Slack: join here

This morning I used AI to solve the hardest workflow problem in my house: getting my kids out the door.

Mornings had been a slog, so in about five minutes, on my phone, I asked AI to make my kids a little checklist with emojis and computer game sounds.

It completely changed the mood.

Everyone left smiling.

That’s obviously not client work.

But it’s why I’ve been so into AI lately.

A lot of people talk about AI like the whole story is job replacement.

What it keeps doing for me is something else.

It brings back the part of work I actually enjoy.

TLDR

AI is most useful when it shortens the gap between idea and execution.

For me, that has meant:

  • getting up to speed faster

  • turning rough ideas into something real

  • cleaning up work that used to pile up

  • moving faster in design, product, and workflows

  • taking on a wider range of problems than I could before

The main thing I would say is this:

AI has raised the floor.

That makes taste, judgment, and restraint more important, not less.



The biggest change

The biggest change for me is not speed.

It is that the loop got shorter.

I can have an idea, make something, react to it, change it, and see it again right away.

That didn’t used to be true.

Before, there was a lot more distance between what was in my head and what I could actually put in front of someone.

More waiting.

More handoffs.

More time spent on things I did not really want to be doing in the first place.

Now the distance between the idea and the thing is much smaller.

I try more things.

I learn faster.

I stay in the fun part longer.

Honestly, it is the first time in a long time that work has felt like a video game again.

How I actually use AI

I do not use AI in one neat, official way.

I jam it into the work wherever it helps.

A big one is research.

Before a client call, I can use it to get up to speed on the company, look at competitors, spot patterns, and find obvious gaps faster. That means I show up with better questions and better instincts.

I use it for thinking too.

Sometimes I need help working through something.

Sometimes I need help figuring out what I think.

Sometimes I want to test a direction before I show it to anyone.

If a brief is not great, I will paste it in and ask what problem is actually being described, what is still vague, and what questions need answering first.

I use it for making things.

This is probably the biggest change.

I can take a product idea, a screen, a flow, a brand direction, or some annoying internal problem and turn it into something real much faster than I could before.

Sometimes rough.

Sometimes finished.

Sometimes good enough to ship.

But always real enough to react to.

I can move across everything from 0 to 1 startup work to more advanced AI workflows with clients, and do it with a lot more range than I thought possible.

I’m also building a tool for myself called Juggle.
It helps me keep track of clients, meetings, follow-ups, and the stuff that usually falls through the cracks. A big reason I’ve been able to move on it so quickly is AI.

I use AI for cleanup too.

Transcripts. Notes. Copy. Action items. Loose thoughts. Pulling signal out of conversations. Figuring out what different people need.

That stuff used to take a lot of time.

Now it takes a lot less.

It gives me more energy for the part I actually get paid for.

How I’m really learning this stuff

One thing I have noticed is that I am mostly not learning this from YouTube.

Honestly, I think most of the content there is trash.

Too much of it is generic, performative, or made by people teaching tools instead of doing real work.

What has been more useful for me is talking to friends and founders who have actually figured parts of this out, seeing what they are doing, and then applying it to my own work right away.

The loop for me has basically been:

see something useful

try it on a real problem

keep the part that works

drop the rest

That has been true in my own workflows and in client work too.

I do not think you learn this stuff best by watching endless tutorials.

I think you learn it by trying things on real problems.

Your own workflows.

Your own bottlenecks.

Your own client work.

That is where it’s at.

Granted, this has also meant I have been up until 2 a.m. messing around with tools.

But the last couple of weeks especially have felt different.

My world has changed a lot.

Being able to create almost anything I want, then fine tune it until it does not look like slop and actually feels really good, is a pretty great feeling.

The design side is the most fun

This is probably the part I am most into right now.

I have spent a lot of my life knowing what I wanted something to feel like, but having to go through slow loops to get there.

Make the thing.

Wait.

Review it.

Explain it.

Wait again.

Do another round.

That cycle used to eat so much time.

Now I can have an idea, turn it into something real, react to it, fix it, and keep going.

I can work through copy, structure, flow, and hierarchy much faster than I could before.

That means I can test more angles before settling too early.

Not because this stuff is some magic design machine.

It is not.

I can usually tell right away when something was done lazily.

That is the worst part.

Not that it looks polished.

That it feels inauthentic.

A lot of it has the same look.

Dark background.

Purple glow.

Soft gradients.

Clean type.

A little motion.

It looks current.

But it feels generic.

And for a product, a brand, or a website, that is worse.

I would rather see something a little dated than something that looks like everything else.

It still needs taste.

It still needs judgment.

It still needs someone who can tell when something is off.

The floor is higher now.

That does not make taste less important.

It makes it more important.

If you already know what good looks like, this stuff is a huge unlock.

If you do not, it mostly just helps you make meh work faster.

Where I’d actually start

The hardest part is usually zero to one.

A lot of people already have some sense of what they want to build or improve.

The hard part is getting from “this should be possible” to actually making it work.

That is where AI has been surprisingly useful for me.

A big part of how I use it is to ask it how to use AI.

And a good place to start is with something you already do, already understand, and already wish took less time.

The research you repeat.

The prep before a client call.

The way you review competitors.

The notes you clean up after meetings.

The work before the real work starts.

If I have a bunch of proposal data, a workflow I repeat all the time, or some process I want to make easier, I ask it to help me think through the setup.

Not just the big idea.

The actual steps.

Break this down for me.

What is the simplest version I can build?

What could be AI-assisted?

What data would I need to connect?

What am I missing?

A lot of this stuff is not that complicated at the highest level.

What makes it feel complicated is all the little steps in between.

That is exactly where AI can help a lot.

A lot of the time, I am not asking AI to do the work.

I am asking it how to set the work up better.

Should this be a skill?

A small tool?

A dashboard?

Or just a simpler workflow?

I ask it a million questions.

I ask it to explain things in plain English.

I take screenshots when I get stuck.

I paste in my work and ask how to make it better.

I ask it to challenge my thinking too.

What did I miss after that call?

Is this bullshit?

What would the contrarian take be?

Usually, if I stay with it, I can find a much better way through than I would have on my own.

My advice is simple:

Pick the annoying problem that keeps taking too long.

The thing you keep putting off.

The thing that feels more manual or clunky than it should be.

Then use AI to help you break it down and solve it.

That is where a lot of the value is.

The catch

There is a catch.

AI can also make work sprawl.

If research gets easier, you do more research.

If prototyping gets easier, you make more versions.

AI removes friction from making things.

It does not automatically make you better at deciding what is worth doing.

That part is still on you.

So yes, it can make you faster.

It can also make it easier to overdo everything.

This stuff is fun.

It pulls you in.

It is very easy to stay up too late messing around with it.

So I do not think the answer is to use AI for everything.

I think the answer is to use it where it helps, stay out of the parts where it is weak.

And for client work, privacy matters.

A lot.

That part is not optional.

What I’d actually tell people

If you are trying to make AI useful in your work, I would do three things:

  • start with one boring workflow you already do every week

  • use it to get to a stronger draft or artifact faster

  • keep your standards high and your privacy boundaries clear

The tools got better.

That does not remove the need for judgment.

It raises the bar for it.

Why this feels different

That is why I keep coming back to it.

Not because AI does the work for me.

Because it helps me do the part I am best at.

Thinking.

Seeing patterns.

Making calls.

Making things.

I feel more capable than I did a few months ago.

I move faster, cover more ground, and turn ideas into real things.

AI did not make work easy.

It made work fun again.

Thanks for reading,
Gev