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Most AI demos stop at the first result:
You ask for something.
The AI builds it.
You move on.

But there is a more useful pattern:
Do the task once in Codex. Then ask Codex to turn the finished work into a reusable skill.

That is the blueprint this session will demonstrate.

In this livestream, we will use the Codex app to walk through a practical automation workflow from start to finish.

Then comes the important part:
Ask Codex to create a reusable skill that captures the work that was just completed.

The point is not the sample workflow.
The point is the pattern:
Task → Working Script → Reusable Skill → Repeatable Automation
This is where AI starts to feel less like “code generation” and more like a way to capture repeatable work.

We’ll look at how Codex can help:

  • Generate realistic test data
  • Build PowerShell functions around that data
  • Package the completed workflow into a reusable skill
  • Turn one-off automation into a repeatable blueprint

For PowerShell users, and really anyone using AI to automate work, this is an important shift.

You are not just asking AI to write a script.
You are using the Codex app to do work, observe the pattern, and then package that pattern so it can be reused later.

About
Doug Finke is a 16-time Microsoft MVP, author of PowerShell for Developers, and creator/maintainer of several widely used PowerShell projects, including ImportExcel and PSAI.

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