The Hasan Method™
A method for strategic, ethical AI.
The Hasan Method™ treats AI literacy as a thinking discipline, not a tool tutorial. It is the foundation under everything Intupower builds, operationalized in Intuon and across every app.
What it is
Most AI training teaches tools. The Hasan Method™ teaches a way of thinking. It is built from three components that work together: an ethical foundation, a discipline for communicating with AI, and a way to turn your own knowledge into something AI can act on. Practiced together, they change what AI can do for you.
Three components
Ethics
The 7 Policies
A framework for self-governance that grounds AI use in human values, not capability alone. It is the ethical foundation under everything else.
Communication
Talking to AI with discipline
Being precise about context and intent, and confirming the AI's understanding before it acts. Clear communication is what turns a capable tool into a reliable one.
Context
Your knowledge, made usable
Turning what you know into context an AI can act on, written in plain documents, no code required. This is the part most people are missing.
The components are interdependent. Any one of them helps; all three together produce the results the methodology is known for.
Try it
See the difference
One request to AI, drafted four times. Click each discipline to layer the method on, and watch a coin flip become a draft you would put your name to.
The request
Write a message to a client whose project we have delayed.
Layer on the method
The AI draft
Hi there! Quick update on your project. Everything is going wonderfully and the team could not be more excited. We hit a couple of small bumps, but nothing major at all, and we expect to have it wrapped up very soon. Really appreciate your patience!
With no method, you get a plausible draft that may dodge the truth, invent details, or promise what you cannot deliver. Useful or not is a coin flip.
Three disciplines, one result you can rely on. None of it requires code, which is exactly what the AI Academy teaches.
What it produces
More accurate, more comprehensive results
Structured by the method, AI produces fuller, more reliable work than a single prompt ever will, with far fewer of the fabrications it is prone to.
It flags gaps instead of inventing
When information is missing, an AI working the method leaves a marker for what it needs, rather than confidently making something up.
It works across every major AI tool
The method is AI-agnostic and LLM-agnostic. What you learn keeps working as the tools change.
The headline finding from published research: documents come out needing roughly 90% less revision, a 90% improvement in output accuracy, from a 40 to 60% baseline down to under 5%.
Where it came from
The Hasan Method™ is not a startup pivot. It was developed over more than two decades of teaching and refined across tens of thousands of professionals. Finalized by 2023, it was one of the earliest no-code machine learning solutions of its kind, designed around the scientific method, grounded in data science, with demonstrable applications across many sectors and use cases.
2002
The work begins with the ethics and communication foundations that became the first two components.
2023
The breakthrough: turning written context into machine-usable instructions in plain documents, no code. The third component.
2023 to 2024
An intensive testing period, refined across professionals and validated across every major AI platform.
2025
The methodology is documented in published research.
The ethical foundation
The first component, Ethics, is The 7 Policies: a framework for self-governance in the age of AI. They are human practices, the starting point for using AI responsibly.
Read The 7 PoliciesLearn the method, in practice.
The AI Academy is where the method becomes a skill you can use, across your work and your life.
Explore the AI Academy