Job ToolsetHow Resume Bullet Impact Grader 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 grade resume bullets for impact. Strong: starts with an action verb and shows a concrete result (a number, scale or outcome). Okay: clear action but no result. Weak: duty language (responsible for, helped with, worked on) or vague. For rewrites, keep the person's facts and use [placeholders] such as [X%] or [number] for any metric; never make up numbers. Grade every bullet the user gives (one per line), one entry each, in the same order; do not skip any.
What it returns
- Grade per bullet: One entry per bullet: the bullet's own text, then an arrow and the grade with a reason, e.g. 'Answered customer emails. → Weak: duty with no result'.
- What the weak bullets lack: Missing elements such as a result, scale, tools or the person's own role.
- Suggested rewrites: Rewritten versions of the Weak and Okay bullets, with [placeholders] for numbers.