Real Projects · November 10, 2026
Case Study: A Support Case System, Rebuilt From Its Own Spec
A product support manager at a Winona area manufacturing company was tracking customer support cases on a legal pad. On paper, none of that is searchable.
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Real projects, useful articles, and practical ways to make everyday work a little easier, with AI when it helps, and without it when it doesn't.
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Real Projects In testing
The system is built and in testing. No time-saved numbers here yet, and I do not publish results a client has not lived. This one walks through the spec written first, the rebuild, and where the project honestly stands.
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2 articles
Real Projects · November 10, 2026
A product support manager at a Winona area manufacturing company was tracking customer support cases on a legal pad. On paper, none of that is searchable.
Real Projects · November 5, 2026
You do not need AI for this task. You need the repeated steps written down once, and a tool that does the arithmetic the same way every time.
Nothing matches that yet. Try a different word, or pick All topics to see everything.
Prompting and workflow tips from my posts, gathered in one place. Each one is condensed from the original post, which is dated under it.
Prompting tip
Before asking ChatGPT for an answer, tell it to ask you questions first. Copy this into your request: "Before answering, identify any important information missing from my request. Ask me the clarifying questions you need, and wait for my answers before proceeding." Your answers give it something real to work with before it generates anything.
From my LinkedIn post, November 12, 2026
Workflow tip
Just because your calendar has an opening doesn't mean you should let someone book it. Calendly's buffer time setting automatically blocks time before or after appointments, so people can't book meetings directly against each other. A 15-minute buffer after a 60-minute meeting leaves room for notes, prep, or coffee.
From my LinkedIn post, November 11, 2026
Workflow tip
Before adding another tool, ask three questions. What exactly isn't working, and where does information get lost? What should the process look like: who does what, and how do you know a task is finished? And can your existing tools handle it once the process is clear? Fix the workflow first. Then decide what tools it needs.
From my LinkedIn post, November 10, 2026
Everyday AI Fix is a focused 90-minute working session for one clearly defined task.
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