AI can sound certain.
Even when it’s wrong.
AI can offer a polished, confident explanation built on a wrong assumption. If you don’t know what to question, that mistake can become the foundation of your project.
I use AI too. The value I bring is the judgment to challenge a recommendation, understand your situation, and check the work before asking you to rely on it.
- 01
Experience behind the questions.
My work in church administration and technology shapes how I approach your project: who will use it, what could go wrong, and whether it makes everyday work easier.
- 02
Direction before speed.
Even powerful AI with research tools can miss context or get things wrong. I work with you to check assumptions and choose an approach that fits your needs, budget, and workflow.
- 03
Evidence before confidence.
A quote tool can look finished and still calculate the wrong price. I test custom software against real examples with agreed expected results. I question my own assumptions, too.
You’re hiring me to question the answers, steer the project, and take responsibility for the work we agree to deliver.
Check the AI claims +
Anthropic documents errors that can persist in advanced models, even with safeguards. IBM’s AI research leader explains why expertise, verification, and direction still matter when using these tools. Read Anthropic’s guidance on AI errors (opens in a new tab) and IBM’s discussion of experience and judgment (opens in a new tab).
