Job ToolsetHow Recruiter Message Priority Classifier works
Press Load model once: your browser downloads Gemma 4 E2B instruction-tuned (web build) (2.0 GB) from this site and keeps it in its cache. Then add your text and press Classify locally. The model runs on this device using your graphics card, so nothing you enter is sent to a server. Until the model is loaded, or if your device cannot run it, the tool falls back to a simple keyword check and labels the result as the fallback.
Gemma 4 E2B instruction-tuned (web build) is a small open language model from Google. The tool sends it the instruction below plus your text, asks for a JSON answer with fixed fields, and shows each field as a card. It runs at temperature 0, so the same input gives the same answer on the same device, though different graphics cards can word it slightly differently.
Inputs longer than 6,000 characters are cut to that length before they reach the model, and the result says so. The model only sees what you paste: it does not look anything up.
The instruction the model gets
You help a job seeker triage a recruiter message. Extract the role, company or client, pay, location and next step exactly as written. Rate priority: High if the message names a specific role, pay and something specific about the candidate; Medium if it is specific but missing pay or company; Low if it is a generic blast, vague, or asks for money or personal documents up front. Do not invent missing details.
What it returns
- Priority: High, Medium or Low, with one sentence on why.
- Details given: Role, company or client, pay, location and next step, each as written.
- Not mentioned: Important details the message leaves out.
- Questions before replying: Two or three questions to ask the recruiter.