01
AI tools & models
Understand the difference between the tool you see and the model doing the work.
Free teaching & analysis
AI Under the Hood
Understand what is happening behind the AI tools people use, build, review, and advise on.
I use practical examples to explain AI workflows, agents, APIs, data flows, integrations, permissions, human review, and the questions that come with them.
What you see · What is happening underneath
The goal is simple: understand the system well enough to make better decisions about it.
What I break down
AI makes more sense when you can see the parts.
02
Workflows & automations
See how triggers, rules, AI steps, business systems, and human approval fit together.
03
AI agents
Understand what an agent can access, what it can do, and where a person should stay in control.
04
APIs & integrations
See how information moves between tools and why those connections matter.
05
Data & permissions
Follow what data goes into a system, where it may go, and what the system can access.
06
Human review & governance
Know when a person should check, approve, stop, or document an AI-assisted action.
Seven questions
When someone says, “We use AI,” start here.
01What is the AI actually doing?
02What data goes in?
03Where does the data go?
04What is the system connected to?
05What can it access or do?
06Where does human review happen?
07Who is responsible?
Who this is for
People who use AI, build it, review it, or advise on it.
Legal, compliance & risk
Understand enough of the technology to ask better questions about data, vendors, access, review, and responsibility.
Technology, product & AI teams
See where technical choices can create legal, privacy, governance, and business questions.
Business leaders & operators
Understand what AI can help with, what should stay under human control, and what needs to be checked.
Professionals learning AI
Move past prompts and tool demos and understand how modern AI systems fit together.
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