Professional knowledge is scattered in the chat
You have answered many times, but the model does not have these practical answers and judgment basis.
Your professional answers, speaking habits and judgment methods are often hidden in many years of chatting. We have compiled business chats authorized by individuals or companies into a set of "AI Answer Codes": which answers can be referred to, how to express them, and which questions must be addressed to someone. It takes 120 minutes to make a small prototype first; when the enterprise implements it, it will be deployed to the company server and connected to enterprise-approved channels such as corporate WeChat, public account customer service, or official website consultation.
Public pages use a fictional structure and do not display real chat, customer identities, prices, or internal rules.
It hasn't read your professional experience, and it can't tell which historical answers are still valid and which are only suitable for a certain kind of customer.
You have answered many times, but the model does not have these practical answers and judgment basis.
To put it another way, customers may not be able to find the correct answer with simple keywords.
Prices, products, and customer policies will change; if the previous statements are inconsistent, you must confirm the current caliber.
Personal Skill is not about retraining a model. It is to put your reference answers, speaking methods, processing steps and forbidden answer rules into a reusable work package: pick them out, separate them clearly, make them into cards, write the rules, take new questions to test, and finally decide whether to deploy access.
Only select work conversations authorized by you or your company, and exclude private content and irrelevant chatter.
Separate the product, design, price, and after-sales service, and code or replace the customer's name, unit, phone number, and base price.
Write down the answer, source, version, applicable conditions and exceptions that cannot be copied on each question and answer card.
Tell the AI who you are, what to check first, how to say it, what it cannot answer, and when to call someone.
Use different questions that you have never seen before to test; if you answer incorrectly, go back to the knowledge card or rules to continue practicing.
In class, the server and channel plans are clearly drawn; when the company implements them, they will then receive inquiries from the company’s WeChat robot, official account customer service, or website. Which one to choose depends on the company's existing accounts and permissions.
First divide the responses into three levels. The closer to the price, responsibility and commitment, the more it needs to be confirmed by the person or person in charge.
AI will produce a draft, and people will send it after reading it. It is suitable for those who have just started online and are still learning the skills.
It is only open to FAQs that have passed the test, have clear sources, and stable rules; each reply is recorded, and a one-click pause button is retained.
Quotes, design safety, contractual commitments, complaints, special policies, conflicting answers and uncertainties are all transferred.
The two things are accepted separately. 120 minutes to use pre-set materials, or select 3 core dialogues from the self-provided materials to run through the entire process; the remaining materials will be organized according to the template after class. Servers, accounts and automatic sending are implemented separately.
It can be used by bosses, executives, sales, customer service and design consultants to gradually turn personal experience into capabilities that can be reused by the team.
Go through the methods in the class and leave a template for further sorting; I confirm the professional answers, tone and reply boundaries, and the system deployment and automatic sending range are then individually accepted according to the enterprise channel.
communication course