Tone of voice is a dataset, not a PDF
Brand books describe a voice. Models need examples of it. How we turn forty pages of guidelines into training data.
01 — Why the brand book does not transfer
“Confident but never arrogant” is a useful sentence for a human copywriter and a useless one for a model. It contains no examples, no counter-examples and no boundary — three things a system needs before it can imitate anything.
02 — What we collect instead
Twenty to fifty pieces the company is happy to be judged by, the same number it would never publish, and a short note on what separates them. That contrast teaches far more than the adjectives do.
03 — How it is checked
Every piece of generated content goes back to the person who owns the voice, and their edits become the next round of examples. The brand book still matters — it is the argument for why the examples look the way they do.
Olga Bialkovich Founder · AI and marketing strategy Olga founded the lead-generation product that now runs as U [in] AI, and she sets the direction of the lab: which parts of marketing are worth automating, and which stay with people. Her working claim is a practical one — a system built around the right profile and the right message takes up to 60% out of the cost of finding customers and partners. 
U [in] AI founder Olga Bialkovich publishes new article on AI agent consistency in Unite.AI
Another conversation around U [in] AI has made its way into the international AI media space.
Why most AI pilots in marketing never reach production
Pilots are built to impress a steering committee, not to survive a Monday. What the fifth that ship do differently.
Three agents, one lead flow: the math behind −62%
We rebuilt qualification for an agri-tech distributor. Every number, every hand-off, every mistake on the way.