Job ToolsetHow LinkedIn About Section Analyzer 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 Analyze 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 review a LinkedIn About section. Check four things: an opening line that makes a reader keep going; a clear statement of what the person does and for whom; proof such as named results, numbers, projects or employers; and a call to action. Point out buzzwords (results-driven, passionate, proven track record, synergy). Quote the text, and do not invent achievements, employers or numbers; use [placeholders] where the person must fill in their own.
What it returns
- Opening line: The first sentence as written, and whether it would make a reader keep going.
- What you do and for whom: What the section says the person does and for whom, or 'Not stated'.
- Proof given: Concrete results, numbers, projects or employers mentioned.
- Buzzwords: Generic phrases copied from the text.
- What to add: Two or three concrete additions, using [placeholders] instead of made-up facts.