Enrico Schaefer walks through his ChatGPT workflow for client assessments: create a project folder with only relevant files, add custom instructions, draft each section in separate threads, then generate a client email with the completed assessment and key findings.
Chapters
So this is just one example of how I used ChatGPT this morning to deliver A+ quality work to a client. So recap, I created a project folder that was specific to the task. In this case, an initial assessment promise to the client. For that project folder, I uploaded just the files that were relevant To the initial assessment. Context engineering means that you only provide the context that the GPT needs for the specific job. You don't overload it with a bunch of information that's not relevant. That'll just confuse it. I added instructions that I developed in the very first thread, added those instructions to this project folder, and then I drafted each section of the assessment one thread at a time. Before finally doing an email to the client where I uploaded the assessment and had it do a summary of the assessment and identify some of the key things that I wanted the client to know as it reviewed all the background research and the assessment itself. So this is just one example of how I used ChatGPT this morning to deliver A+ quality work to a client.