This path is a place to begin if you want an AI assistant to help with your business and are unsure how to direct it. You’ll set up the assistant, give it a familiar assignment and inspect what it makes. A proposal or report whose facts you know is a useful starting point. Your business judgment gives the agent its purpose, sources and finish line; the agent handles the technical steps. We’ll introduce the tools as they become useful.
As the work develops, you also need a way to understand and recover changes. Git records versions of selected project files, so you can compare changes and return to earlier work. The first assignment may produce a document; later Git practice uses a project folder where changes are safe to try. That shift lets you practice recovery on a copy or practice project, with separate backups for important files that Git does not track.


You finish with
State the result and limits in an AI request, inspect the proposed changes, and use Git and GitHub to preserve the intended work. Learn what a saved version can recover and which files need separate protection.
A checked project can become the starting point for a responsibility you delegate regularly, such as preparing a service proposal or updating an internal guide. Give the assistant the purpose, current sources and decisions it may make within that responsibility. Preserve an example you have judged and explain which features of it apply to the new work.
Try a fresh assignment and inspect the resulting files, including what the assistant omitted or changed in meaning. Revise the relevant source or instruction when the correction applies beyond that instance. Project history lets you compare intended changes while your evidence checks establish whether the result is useful. Neither a saved version nor an agent’s completion message establishes that all the work is correct.
You could next develop a customer-facing website or a more capable internal tool. Begin with the person’s task, the result they need and the information the tool would use. Keep the first extension small enough that you can inspect its behavior and recover its project changes. Adding live services, private data or external actions brings decisions beyond saving code in Git.