What most AI actually is: a general model answering from whatever it read during training. Fluent, plausible, and with no way for you to check it. It has never seen your records and does not know your rules.

No figure exists without a record behind it. Open any number and you get the workings: the source record, the rule applied, the table it came from, the log entry that wrote it. A figure that cannot be traced is refused, not invented.

Every action is written to a log that cannot be edited.

It explains the why, not only the how much — connecting things a calculator cannot. The sums themselves are done by tested, checkable code rather than guessed at, so the working is shown rather than asserted.

Not the theory. Any AI can read the textbook. What it cannot read is what a person learns from doing the work for thirty years.

So we go and get it. We sit with doctors, teachers and bankers and interview them — how they actually decide, not how the manual says to. The real examples. The nuances. The exception that only shows up twice a decade and that a veteran spots instantly. What they distrust and why. What they would do next.

That is captured, kept, and injected into Aless — and it is what turns a language model into a genuinely specialised one.

Injected rather than trained in, so it stays inspectable and removable. This is the part that took decades of somebody’s life, and it is the part nobody can copy.