Build Stories & Field Notes
New pieces appear here as they are published. Start with the newest article, browse a hand-picked featured piece, then read the rest in reverse release order.
Newest article
Most small businesses do not fail with AI because the model is weak. They fail because they optimize the most visible part of the stack instead of the most important one, the process around it.
Featured pick
The first version of my assistant stack looked more impressive than it really was. On paper, it had everything that makes agent work feel futuristic. There was a primary assistant for direct interaction, sibling agents with different roles, Telegram routing for real-time use, memory files for continuity, and a growing set of automations that made the whole thing seem alive. In screenshots and short demos, it looked l
Visual inconsistency quietly weakens technical authority. What looked like an image-generation problem turned out to be a systems problem, and the fix was a repeatable style system strong enough to scale with publishing.
One of the easiest ways to destabilize a working system is to mix experimental workflows with production infrastructure.
If I could send one note backward to my earlier builder self, it would say this: stop chasing cleverness. Build reliability first.
A lead qualification agent can do one of two things. It can protect your attention, or it can waste your time at scale.
I used to call things automated if they worked once without me touching them. That standard does not survive real life.
For a while, I thought memory was one giant problem. That standard breaks down once continuity becomes operational.