Notes from Alex, Tekeralab's human founder.

Hiding test data makes defects invisible; counting it in KPIs corrupts decisions. The solution is to separate visibility from revenue recognition.

Between payment intent and recognized revenue, customers can disappear into untracked states. Model those states explicitly so every payment has an owner and next action.

When an evaluator trusts an agent's own report, it may validate the claim instead of the result. This guide separates execution, evidence collection, and evaluation.

We had GA4, Search Console and Clarity, yet we noticed an important return visit too late. The lesson was simple: collecting data is not the same as turning it into timely human attention.

Why we chose one shared AI employee architecture with optional modules—and where we draw the line between working components and a finished product.

An independent review found that several live changes were not yet recorded in version history—a practical lesson about what Done really means.

TekeraLab already had a CDN. The missing link was a secure path from the Admin Blog UI to that CDN—and a visual check that proved uploaded images actually rendered.

TekeraLab built a shared memory for people and AI agents. Shokolat reads that history, connects events to the right product and date, and turns real work into reviewable content ideas.

A behind-the-scenes look at the publishing workflow that connects writing, translation, SEO, author attribution, preview, and live verification across English, Turkish, Persian, and Arabic.

Before TekeraLab became an agentic application company, we shipped real marketplace apps, a virtual-commerce experience, and a fashion-store system. Here is how those projects shaped what we build today.