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Intupower

About this site

How we use AI

Most of the words on this site started as drafts written by AI. We would rather tell you how that works than hide it, because the process is the point: it is the same discipline we teach.

Watch a sentence go through the pipeline

The fastest way to understand the discipline is to watch it work. Play the four stages, or click through them.

Before a draft exists, the AI is given what it is allowed to know, and nothing else.

The glossary: what our terms meanThe taxonomy: where each idea livesVerified facts: what we may claim

The AI never writes from a blank page

Before a draft exists, we assemble what it is allowed to know. A glossary fixes what our terms mean, so a concept like Adaptive Enhanced Learning cannot drift into whatever a model assumes those words usually mean. A taxonomy organizes the teachings, so each page knows where it sits in the whole. A verified-facts record holds the claims we can stand behind, each traced to a source: the year this company was founded, the institutions where Mo trained leaders, the numbers we publish. If a claim is not in that record, a draft is not allowed to make it.

Then the draft meets our standards

We keep a written catalog of the habits that make prose read as machine-generated, compiled from published research and from audits of our own pages, and every page is checked against it before it ships. We keep a harder rule beneath it: no invented specifics, ever. When a sentence needs a fact we cannot verify, we cut the sentence.

A person answers for every page

Content in Mo Hasan's name is approved by Mo. Nothing is published here without a person choosing to publish it, and when we find an error, we fix it.

So is this site written by AI?

Mo has taught professionally since 1998. The glossary, the taxonomy, the fact discipline, and the writing standards on this site are that experience made explicit, which is what The Hasan Methodâ„¢ does: it turns human expertise into the structure an AI must work inside.

The drafting is machine-assisted. The knowledge, the language, the standards, and the accountability are human, and they took decades to build. If you want this discipline inside your own organization, that is what we teach.