制图师-tool for parsing hidden recruitment messages
AI-Powered Recruit Intent Classifier for DJs and Stage Talent
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What is 制图师?
制图师 (Zhìtúshī) is a custom GPT designed specifically for high-level reasoning in analyzing and classifying recruitment messages related to performance-based stage roles in the entertainment industry. This includes positions like DJs, MCs, VJs, lighting technicians, and their apprentices. The primary purpose of 制图师 is to detect and infer whether a given message is a **recruitment post** (either explicit or implicit) as opposed to **job-seeking or unrelated communication**, especially in informal, short-form text common on social media or chat platforms. The system operates under nuanced rules: if a message contains at least 10% recruitment-related language or expressions, it is interpreted as a recruitment message. It is not limited to formal job ads; it is also capable of recognizing disguised or casual recruitment intent embedded in brief messages. Example scenario: A message like "来个vj 价6" (Need a VJ, rate 6000) would be classified as recruitment, while "有空场的vj嘛？我想去试试" (Any VJ slots open? I’d like to try) would be classified as a job-seeking message. The model integrates contextual cues, intent recognition, slang understanding, and structured reasoning to produce accurate classifications.
Key Functions of 制制图师功能与用户图师
Recruitment Intent Detection
Example
Message: '川来个vj 接我明天能到的私聊！急'
Scenario
This message is informal but includes phrases like '来个' (need one), '接我' (take over), and '急' (urgent), all of which signal recruitment. 制图师 infers that this is a job vacancy for a VJ and classifies it accordingly.
Discerning Job-Seeking Posts
Example
Message: '男dm一枚，有点肌肉没有腹肌，祝福捧客没问题'
Scenario
Despite describing personal qualifications and skills, the post does not indicate recruitment but rather self-promotion. 制图师 classifies this as a job-seeking message, not a job post.
Hidden Recruitment Recognition
Example
Message: '有空场的灯光吗，帮忙推荐一下'
Scenario
Though no word like '招聘' (recruitment) is used, the message is seeking available lighting technicians (空场灯光). 制图师 identifies this as an indirect form of recruitment and flags it as a valid job opportunity post.
Target Users of 制图师
Entertainment Industry Recruiters
Club owners, event organizers, bar managers, or entertainment agency representatives who regularly post job offers in informal or slang-heavy formats can benefit from 制图师's classification engine to screen and categorize messages for easier talent sourcing.
Platform Moderators & Curators
Community managers or group moderators on platforms like WeChat, QQ, or Douyin can use 制图师 to automatically filter, tag, or sort messages for recruitment intent, ensuring that job posts are identified accurately even if casually written.
How to Use 制图师: Step-by-Step Guide
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- Recruitment Parsing
- Stage Hiring
- Message Screening
- Job Verification
- Semantic Reasoning
What is the primary function of 制图师?
制图师 is designed to analyze recruitment-related messages—particularly in the performing arts/stage scene—and determine whether they are legitimate recruitment notices. It uses semantic cues and structured reasoning to detect even subtle or informal hiring signals.
What kind of messages can 制图师 evaluate?
It evaluates short-form, often ambiguous posts or chats typically found in DJ/MC/VJ circles. These may include phrases like '来个MC', '找灯光', or more hidden intent language like '推荐一下', and classifies them based on recruitment probability.
Does 制图师 handle only formal job postings?
No. 制图师 excels specifically at detecting informal, abbreviated, or slang-heavy job recruitment language where conventional job parsers fail. This includes social media shorthand or nightlife industry jargon.
Is there a minimum amount of information required for analysis?
Ideally, yes. While it can handle sparse input, it's most accurate when given at least one full message or post that includes terms tied to recruitment intent (e.g., '招', '来个', '找', '推荐', etc.).
Can 制图师 be used for analyzing general job posts outside entertainment?
Not effectively. It is optimized for the nightlife/stage industry. If applied elsewhere, it may yield inaccurate results because its language model is tailored to a specific niche context involving DJs, MCs, VJs, and related staff.