Move beyond the classroom debate.
AI literacy, agency operations, public-facing services, responsible use, and what changes when an answer can affect a family, an audit, or a due process hearing.
Explore AI in Education →I work where public education, data, and artificial intelligence meet. The technology matters. Whether agencies can trust it, govern it, and use it to help the people who serve children matters more.
A biology major, a youth pastor, and an operating system almost nobody used.
In 1995, a friend called the church office where I worked and asked whether I knew anyone with OS/2 experience. He did not expect me to know what that was.
I did. My father had given me an IBM PS/2, then a copy of OS/2 Warp. I spent six months learning it for no reason except love. That unlikely answer opened the door to BellSouth, enterprise architecture, and eventually twenty-five years of making data useful in public education.
The complete story →AI literacy, agency operations, public-facing services, responsible use, and what changes when an answer can affect a family, an audit, or a due process hearing.
Explore AI in Education →Bring governance, analytics, interoperability, organizational knowledge, and applied AI to agencies that do not have unlimited budgets or unlimited staff.
Explore Platform Modernization →Definitions, ownership, quality, lineage, access, and correction provide the foundation for dependable analytics and grounded AI.
Explore Data Governance →The interesting question about AI was never what it can do. It is whether the people around it will trust it, and whether they should.
The people asking the hardest questions are often the ones worth listening to.
Review means little unless a qualified person can evaluate and overrule the system.
An agency cannot defend an answer if it cannot explain the sources behind it.
Understand the education implications, follow the developing argument, build practical operator skills, or learn how I arrived here.
Literacy, agency operations, public services, governed data, expert review, and responsible implementation.
Explore the section →Approved summaries of new articles on AI, Education Intelligence, education data, architecture, and professional practice.
Browse the writing →A field manual for choosing tools, giving useful direction, grounding requests, checking results, and building automation carefully.
Open the AI Operator’s Manual →A concise biography, the perspective behind the work, and clear paths into the personal story and professional journey.
Meet Mike →The website curates the argument. The complete articles and ongoing conversation live on Substack.
Education professionals need more than techniques for producing fluent answers. They need judgment about sources, uncertainty, information protection, consequence, and what responsibility remains human.
Read on Substack →A capable AI can still invent citations, infer unsupported numbers, and repeat outdated guidance when education professionals give it no context, standards, or boundaries. The answer is disciplined onboarding: define the work, supply trusted sources, explain what failure costs, and keep a qualified person responsible for verification.
Read the article on Substack →Example content. Production summaries appear only after editorial approval.
I began as a youth minister, moved through enterprise support, solution design, and architecture, then spent my career bringing data and technology into public education.
The biography provides the concise view. From there, choose the personal turning points in The Full Story or the complete professional record in The Journey.
About Mike →What capable professionals need beyond prompting.
Trust, evidence, accountability, and consequential work.
Governance, interoperability, analytics, and agencies counting pennies.
Speaking invitations, professional conversations, and article or media inquiries are welcome.