How I turn an idea into a finished project

Hey Reader,

You can write Python. But why does building feel impossible?

You've watched the tutorials. Many. Perhaps too many.

And yet… when you sit down to build something of your own, you freeze.

Does that sound familiar?

Well, I've been there too 🤯.

From what I've seen over the years, this is the #1 thing that quietly turns capable people into impostors.

The good news is, there's a fix.

So today, I'll talk about:

The real reason you get stuck
The exact workflow I use to turn an idea into a finished project
How to scope a project, so you actually know when it's done

Let's get into it, shall we?

1) The real reason you get stuck (it's not the lack of competence)

Here's the trap:

When you don't build projects, you start to feel like an impostor, feel like you're not good enough.

And because of that feeling, you don't build projects.

It's a perfect little loop. Round and round.

And then there's tutorial hell...

Each tutorial gives you that little hit of "ah, now I understand." But the moment you want to build something yourself, you freeze.

I don't know any skill you can master just by watching other people do it.

For example, I've tried to learn drawing for years. I watched tons of drawing timelapses, bought the books,... Anything apart from, you know, actually drawing.

Sure enough, after all those years, I still can't draw very well 🙈.

The point is this:

You don't escape the loop by learning more. You escape it by doing. By finishing even one small thing.

(This is exactly why I've been building, and now rebuilding, my Python for AI Projects training. Because I realized this is the real root of what's holding people back.)

2) The workflow I use to go from idea to finished project

Let me walk you through the process I actually use to build something. The same one behind the project videos I publish on YouTube.

I'm talking about personal projects here, using my journal analysis project as a simple example. But the general flow holds for larger projects too.

First, write the idea in one sentence.

That's it. Just one sentence, plus a few tools I think might be involved.

The act of writing it down does something. It forces you to get clear on what you're actually trying to do.

Second, find the smallest possible version of that idea.

The ugliest thing that would still count as "done." If my idea has 10 cool features, I cut 9. I keep the one that makes it real.

For this project, that was simple: a local vision model has to correctly transcribe my handwritten journal pages.

Nothing else mattered (yet).

Third, build the core logic.

This is the heart of your project. The one function that takes the input and gives back the thing you actually care about.

It MUST work before you touch anything else.

For me, that meant experimenting with a few vision language models to find one that was accurate enough and didn't melt my laptop.

I tested it on 1 page. Then 10 pages. Then everything.

You should also have a way to evaluate if this core function is actually working well.

In this project, I just eyeballed the output and checked if it was good enough - I didn't have a proper test set. But sometimes that's all you need to start.

You can absolutely use AI to speed up your experimentation. But use it in small, iterative steps, so you actually understand what's happening (i.e. resisting the urge to vibe-code the whole thing 🙂).

When the core works, even in the ugliest possible form, you've already won.

Fourth, now you add the bells and whistles.

Honestly, everything here is a bonus.

You can start layering on complexity and polish the final output:

Maybe use more or real, richer data?
Build a friendly interface?

a terminal chat interface...

or a dashboard...

or a data visualization...

or even a fancy React frontend...

Then maybe swap the local storage for a proper cloud database?

Maybe… add user logins?

Authentication?

....(your head is now spinning 😵‍💫)...

You keep adding, and adding, and adding. And yes, AI can help you here too.

But hear me out:

Before you know it, you're deep in the rabbit hole of software engineering and shiny features. And things spiral into infinite complexity.

This is exactly where people lose the plot. More on how to avoid this in a sec.

Fifth, ship it.

Here's where it finally pays off.

Document the project, push the working version to GitHub, deploy it somewhere to get a shareable link.

When other people can see it and use it, you'll feel good.

You get real feedback to improve. It's good for your learning, your confidence, and your portfolio 🎉.

3) How to scope the project, so you know when it's done

Let me tell you this...

I used to stay up until 2am, for days, polishing a project before I dared to show it or teach it on YouTube. I felt exhausted and frustrated.

I learned this the hard way: there's always one more feature, one more cleanup, one more thing to polish.

If the finish line keeps moving, you'll never cross it.

So before you start, write down one sentence: "This project is done when ______."

For example: "Done when I can ask questions and surface memories from my handwritten journals."

That's it.

Every bell and whistle is a "version 2" idea. Write those down in a separate list, and let them go for now. You can always come back later to make it more "impressive."

Now suddenly, finishing becomes possible. That impostor feeling starts to dissolve, just a little.

And that's how real confidence gets built.

So here's my small challenge for you this week:

Pick one tiny idea, write your one-sentence "done," and cut it down until it almost feels too easy.

I'd love to hear what you're going to work on. Just hit reply and tell me, I read every single one.

Chào,

Thu