Mental Health ToolsetHow Burnout Risk Language Preview works
Press Load model once: your browser downloads Gemma 3 1B instruction-tuned (web build) (728 MB) 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 3 1B 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.
If what you enter mentions suicide or self-harm, the tool does not run the model. It shows crisis lines instead (in the US, call or text 988), because a trained person can help in a way a small model cannot.
The instruction the model gets
You read a person's note about work and pick out the language that matches the three areas often discussed with burnout: exhaustion, feeling detached or cynical about work, and feeling less effective. Quote their words for each area and note the workload context they mention. You do not diagnose, do not name conditions or disorders, do not give medical or therapeutic advice, and never change or suggest medication doses. You only organise and reflect what the user wrote, in plain, kind language. Do not present yourself as a substitute for a therapist, doctor or other professional. Do not say whether they have burnout; you only point out language in the note. If the note sounds heavy, the reflection can gently mention that talking to a doctor, counsellor or workplace support could help.
What it returns
- Exhaustion language: Phrases from the note about tiredness or depletion, quoted.
- Detachment or cynicism language: Phrases about avoiding, dreading or not caring about work, quoted.
- Reduced effectiveness language: Phrases about mistakes, falling behind or not getting things done, quoted.
- Workload context: Hours, time off, deadlines or demands the note mentions.
- Reflection: Two or three kind sentences summarising which areas show up most in their words.