Enrico Schaefer argues that building and refining GPT assistants pays off. After each client conversation, edit the assistant's instructions and upload new knowledge like client notes. Treat it like a human aide getting trained, and you'll unlock exponential results.
Chapters
I promise you, spend the time working with GPT assistants, modifying them. After you build a GPT assistant, before you start that next interaction, go back and edit it. Go into configure, take a look at what the instructions are, modify them based on new information, upload more knowledge. If you've had a conversation with the client captured by an AI note-taker, Upload that into your GPT. Just like with a real human assistant that you're constantly training, you're— they're getting better month after month, year after year, because they're learning and you're helping them learn. You're giving them the resources they need to succeed. Same thing with the GPT assistant. The bottom line? Mastering this process of building GPT assistants for your specific projects and tasks is the key to unlocking exponential results.