Hey guys, here's your docs that are way better now on middle of life.

Take a look.

And that's when I realized the beauty of having failed so many times, which was in failing so

many times and building so many ideas that didn't work, when something did, there was no

mistaking it. It's very important to solve one

problem correctly. And even right now, as we're experimenting and launching new products, we're

hyper-focused on getting one person who loves what we're building as opposed to a thousand

people who are going to just feel meh about it.

It's still the small things that don't scale that really spark the customer love

and the thing that goes the extra mile, if you will, is how we think about things, right?

If you go the extra mile that in a way that people don't expect, you know, imagine.

For most of the Internet's history, documentation has been an afterthought.

Something you write after the product ships, something meant to explain where already exists.

But what happens when the reader isn't human anymore? For decades, docs were written for people.

They explained APIs, answered questions, and slowly drifted out of date as products evolved.

That decay was accepted as normal because documentation was treated as reference material,

not infrastructure. In the last few years, that assumption has broken. Coding agents support bots

and internal AI tools now read documentation directly. Docs are no longer just explanatory,

but also operational input.

When they're wrong or outdated, systems break. This creates attention. Documentation matters more

than ever, but keeping it accurate has always been one of the hardest problems in software.

Static docs don't survive fast-moving products, especially in an agent-driven world. In this episode,

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