At Pelles.AI, we build AI tools. We also think a lot about a growing problem: in an era where AI can generate infinite "content," how do you share knowledge that actually matters?

The Signal vs. Noise Problem

AI has made it trivially easy to produce articles on any topic. That's both a breakthrough and a problem. The internet is flooding with generated content — technically correct, often useful, but rarely coming from genuine expertise.

For teams like ours who are building real products and learning hard lessons, this creates a challenge. The insights we gain from actually doing the work get drowned out by SEO-optimized articles written by people (or AIs) who haven't built anything.

The challenge isn't creating content anymore. It's creating content worth reading.

Why Traditional Articles Fall Short

There's nothing inherently wrong with static articles. You're reading one now, and it works fine. But they do have limitations:

• They assume a single level of reader expertise
• They can't adapt if you already know the basics
• They can't expand if you want more depth on a specific point
• They're the same whether you have 2 minutes or 20

These limitations were acceptable when creating content was expensive. Now that it's essentially free, we can experiment with different approaches.

What We're Trying

We're not claiming to have figured this out. We're experimenting. This blog (we call it "Unblog") is where we try new formats for sharing technical knowledge:

• Interactive versions — like the toggle above, letting you choose your path
• Expertise levels — skip the basics if you already know them
• Expandable sections — go deeper only where you're curious
• Honest framing — this is what we learned building, not generic advice

Some of these experiments will work. Some won't. That's fine — we're more interested in finding what's useful than in claiming we've reinvented content.

The Goal

We want to share what we're learning as we build AI tools. Not thought leadership for its own sake, but practical insights from people doing the work.

If interactive formats help that knowledge land better, great. If traditional articles work fine for some topics, that's great too. The format should serve the content, not the other way around.

This was the traditional static version. Try the interactive version above to see one of the experiments we're running.