ChatGPTでCSメール自動化！ブレない専用GPTsの作り方とナレッジ構築手順

Are you struggling with inconsistent output or irrelevant responses when trying to automate customer support by importing past email correspondence history into ChatGPT (GPTs)? The truth is, AI cannot correctly interpret data simply by handing it over as is. This video provides a fully illustrated guide on how to properly link GPTs' "Instructions" and "Knowledge" files, and how to format past emails into "structured data (Markdown)" that AI can easily understand before importing them. Let's implement a system that semi-automatically generates consistent, high-quality support messages for anyone, starting tomorrow! #ChatGPT #GPTs #CustomerSupport 00:00 Introduction: Why AI output can be inconsistent when simply dumping past email data 01:00 Mismatch between data format and role 01:45 Linking the repository (knowledge) and the brain (instructions) 02:11 Common pitfall: The dangers of copying and pasting into text files 03:00 Why simply reading email history isn't enough to mimic tone and manner 03:51 A major pitfall: The risks of creating instructions in interactive chat (Create tab) 04:18 What are GPTs? Basics of Custom AI Assistants 05:12 Specifications for Instructions and Knowledge 06:03 What is Structured Data? (A set of query, prerequisite, and response template) 16:24 Enforcing Knowledge Search and Checklist Items 17:05 Three Tests to Perform Before Distribution (Normal, Exception, and Attack Cases) 17:38 Complete Checklist and Four Principles for GPT Creation 18:14 Summary and Steps to Implementation