Three things here is what they are and why they belong together.
Introducing the Faust Baseline, AI Baseline Governance, and the AI Governance Firewall
Most people who use AI every day have no standard in place. They open the tool, ask their question, get an answer, and act on it. They trust the output because it sounds confident and reads clean. Nobody told them they needed anything more than that.
We built something more than that. Actually we built three things. And today we are introducing all three together because they only make full sense when you see how they fit.
The Faust Baseline
The Faust Baseline is a personal discipline standard for working with AI. It is the covenant between the user and the tool. It defines how a session has to operate before the output earns trust. Claim, reason, stop. No smoothing. No drift. No quiet agreement that steers you toward comfort instead of truth.
It was built because the alternative — working without a standard — costs you things you don’t notice losing until they’re gone. Work built on soft foundations. Decisions made on agreeable answers that were never challenged. A year of effort that felt like collaboration but was really just an expensive mirror.
The Faust Baseline is what you install before any of that happens. It is personal infrastructure. It does not restrict what the AI can do. It holds what the AI produces to a standard before you act on it. It is yours. It runs on your terms. And it is the foundation everything else here is built on.
AI Baseline Governance
AI Baseline Governance is the category. It is the name for the practice of holding AI to a personal standard before acting on its output. Not corporate governance. Not regulatory compliance. Not enterprise policy. Personal governance — the discipline an individual user applies to their own AI operation to protect the integrity of their own work and decisions.
This category did not exist when we started building. The governance conversation was happening entirely at the institutional level — governments, corporations, regulators trying to manage AI as a system. Nobody was talking about what the person at the desk needed to do before they trusted what the screen just told them.
AI Baseline Governance is that conversation. It is the unclaimed space between the enterprise frameworks that manage systems and the individual user who has nothing. We named it, we built inside it, and we documented it. The Faust Baseline is the working model. AI Baseline Governance is the field it operates in.
The AI Governance Firewall
The AI Governance Firewall is the newest of the three and the one with the most urgent outside reach.
The enterprise technology world has spent the last two years building what they call LLM firewalls — corporate security tools that protect AI systems from bad actors, prompt injections, and data leaks. Those tools are real and they serve a real purpose. But they protect the system. They have no mechanism for judgment. They cannot tell you whether the medical information the AI just gave you was shaped by training bias. They cannot flag that the legal summary omitted a jurisdictional exception that changes your case. They cannot catch that the arbitration language the AI drafted favors one party because of how the model weighted similar documents during training.
Those are not perimeter problems. Those are trust and judgment problems. And no enterprise firewall touches them because their customers are corporations, not patients, not defendants, not people in the middle of a dispute that will affect the rest of their lives.
The AI Governance Firewall addresses the gap those tools leave open. It is the Baseline applied specifically to high-stakes domains — medicine, law, arbitration, finance — where the output isn’t just wrong when it fails. It is dangerous. Where confident and clean is not the same as accurate and safe. Where the cost of acting on bad AI output is not a wasted afternoon but a missed diagnosis, a lost case, or a settlement signed under terms you didn’t fully understand.
The enterprise firewall protects the system. The AI Governance Firewall protects the decision.
Why They Belong Together
The Faust Baseline is the standard. AI Baseline Governance is the field. The AI Governance Firewall is the application in the places where it matters most.
Together they move from personal discipline all the way to domain-specific protection. They answer three distinct questions that every serious AI user eventually has to face. How do I know I can trust what I am working with? What is the practice of operating an AI at a standard called? And what happens when the stakes are high enough that trust alone is not sufficient?
We built these three things because nobody else was building them for the individual user. The enterprise market was building for IT departments. The governance conversation was happening in conference rooms that everyday people never enter. The person at home, the small business owner, the patient, the defendant, the independent thinker trying to do serious work with a powerful tool — they had nothing.
Now they have something.
We will be writing about all three in depth in the weeks ahead. If you are using AI for anything that matters, we built this for you.
“A Working AI Firewall Framework”
“Intelligent People Assume Nothing” | Michael S Faust Sr. | Substack
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