Introducing AI Business, and Building in Public

KB Cafe has always been about two things: learning how things work and building with them. But that’s only half the story. The moment you ship something, an AI tool, a side project, a site, the questions change to the two nobody answers well: how do I get people to it, and how do I make money from it? So we’ve opened a new section to cover exactly that: AI Business.

The part nobody teaches honestly

Search “how to get traffic” or “how to make money online” and you drown in growth hacks, passive-income promises, and dashboards that may or may not be real. The internet has ten million versions of that. It has almost none of the thing that actually helps: how it really works. How search ranks. How a launch channel rewards you or punishes you. How pricing and margins behave once an AI API bill is involved. AI Business explains those the same way we explain DMARC, Base64, or MCP: mechanism first, real numbers, no guru nonsense.

The plan is two tracks, built the way the rest of the site is, hub-and-spoke and paired with tools: Marketing (SEO, launch channels, email, content, measuring growth) and Monetization (pricing, unit economics, freemium, payments). Both are on the way.

Taught from real sites, in public

Here’s the part we’re most excited about. Every lesson will be backed by something real, because we’re documenting our own portfolio of sites as they’re built and grown, with the actual strategy and the actual numbers. Not theory from someone who never shipped. A live build-in-public journey, starting from day one, traffic and rough revenue included as they accrue.

Case study #1 is live

And we’re starting with the most (at the time of this writing), recent example we have: this very site. The first teardown, how we restored KB Cafe, walks through the entire process: winning an aged domain at auction (we share the exact price), auditing it before building anything, restoring the content without republishing it, preserving two decades of backlink equity with a clear decision framework, and the technical foundation underneath. The stack is open, the numbers are real, and the only things we hold back are a couple of genuinely proprietary scripts.

It’s going to be a wild, fun ride, filled with wins and losses, but one thing is guaranteed: it will be jam-packed with truth, transparency, and education. Read the first case study, explore the new AI Business section, and follow along.

Related

Start the journey from the top: Learn AI, then build with it. Or read why we brought KB Cafe back.