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The power of rambling

How AI can help us find the signal in the noise, define a thought, and understand what we want.

By Thomas Pinella ·

When I’m building software, including Hazel itself, what I’m trying to build isn’t always something I can explain cleanly. There’s an intention in my head, a rough sense of how it should feel, and a pile of thoughts that haven’t yet clicked into relation with one another.

So I ramble.

I start describing what I picture. I loop back over the same ground. Sometimes I’m halfway through one point when I realize a different one matters more. The core of what I’m after is somewhere inside all of that.

AI is very good at helping me locate it. It can take that tangled explanation and reflect back a clearer version of my intention. As I read it, I can tell which parts ring true and which parts got lost along the way. Occasionally I need another round before I can say, “yes, that’s what I mean.”

I’ve found this useful well beyond software. Our minds contain a lot that we haven’t yet managed to put into words.

Let the thought take shape

Writing is thinking. When we try to put something into words, we’re forced to settle on what we actually mean, and those choices sometimes carry us somewhere we didn’t expect. Halfway through a sentence, we spot a connection. We write a line down and realize we don’t believe it.

The whole act is creative. It can generate thoughts we would not have reached any other way.

That’s part of what I explore in this piece about journaling. Once a thought is outside us, we can look at it directly. A hazy feeling turns into a sentence we can question or build on.

Talking can accomplish the same thing. Sometimes a microphone makes it easier to keep the momentum going, particularly when the thought is arriving faster than we can type.

There’s real power in sliding into a flow state and letting whatever is on your mind pour out. You stay with a thought long enough to see where it leads. You allow yourself to contradict what you said a minute earlier.

If you insist on polishing every sentence while you’re still working out what you think, that effort can stall the process. It’s useful to have a place where the messy version is allowed.

Finding the signal in the noise

Now we can add a further step: hand that messy material to AI and let it help sort through the tangle.

It can pull together ideas scattered across several paragraphs, pick up on something we keep coming back to, or offer a cleaner way to phrase a concern. We get to hear our own thinking sent back to us in a shape we can work with.

That’s what interests me most: locating the signal in the noise.

There is more to a ramble than repetition. The aside you almost deleted might be the thing that explains why the whole subject matters. Two statements that seem to contradict each other might expose a tension you’ve been struggling to name.

Imagine explaining why you’re unhappy at work. You mention the meetings, the hours, and a project that keeps changing direction. Then you spend some time describing how much you enjoyed helping a colleague solve something.

An AI could help you notice that you miss feeling useful to another person. You’d still need to decide whether that interpretation fits. But now you have a more defined thought to explore, and a better question than “Why am I so fed up?”

The conversation can continue from there. You correct the reading, add what you left out, and move closer to what you mean. AI’s capacity to refine what we feed it amplifies the thinking we’ve already started.

From building software to shaping a life

With software, I’m trying to understand what I want a thing to do. Describing the behavior helps me uncover the intention underneath it.

We can apply that same process to two questions that shape a much larger part of our lives:

Who am I? What do I want?

Answering them directly is daunting. Most of us find it easier to talk about what happened this week.

We can describe a conversation that bothered us. We can explain why something excites us, or why a decision that seems sensible is hard to make. Those everyday details give us something to work from.

Over time, we may notice what keeps appearing. Maybe we talk about wanting freedom, but every option we consider comes with more obligations. Maybe we keep dismissing an interest, even though we light up whenever we describe it.

AI can help us examine those patterns and put words to what we’re noticing. Then we can ask whether that understanding matches the way we actually live.

There’s already an answer

Even if we haven’t consciously answered those two questions, some version of an answer is already shaping our choices.

Our commitments reflect assumptions about who we are. The things we keep pursuing reflect assumptions about what we want. We may have picked up those assumptions so early that they barely register as choices anymore.

When we don’t ask these questions ourselves, someone else will decide for us. An employer has priorities for our time. Our families may have ideas about a successful life. There’s always another example of who we could become waiting on our phones.

Some of those influences may suit us fine. We still need a chance to examine them.

And we need room to change our answers. What we wanted several years ago may explain how we ended up here without telling us where to go next.

Bring the ramble to Hazel

I’m building Hazel specifically to help with this kind of thinking: understanding who you are, figuring out what you want, and finding more clarity and alignment in your life.

You can bring the unfinished thought. Hazel can help you untangle it, ask questions, and return to relevant things you’ve shared before. As you understand more, you have something clearer to act on.

You also get to say when an interpretation doesn’t fit. That correction is part of defining the thought. Your own response helps you understand what was missing.

If something has been taking up space in your mind, talk it through with Hazel. Start wherever you can, follow the tangents, and see what you recognize when you hear it back.

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