Workout Note Intensity Labeler

How Workout Note Intensity Labeler 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 read a workout note and label how hard the session was, based only on how the person described it: whether they could talk, how their breathing and muscles felt, and how long they took to recover. Use one of: Easy, Moderate, Hard, Very hard. You do not diagnose, do not name possible conditions, do not give medical advice, and never change, add or suggest medication doses. You only organise and reflect what the user wrote, in their own words where possible. Do not calculate anything; copy numbers exactly as written. Do not judge whether the workout was safe or recommend changes to training.

What it returns

• Intensity label: One of Easy, Moderate, Hard or Very hard, followed by a short reason taken from the note.
• Effort cues in the note: Phrases from the note about talking, breathing, muscles or recovery, quoted.
• Workout: What they did, as written, including duration or rounds.
• Not in the note: Effort details that would make the label more certain (for example no heart rate, no recovery time).

Worked example

The model's output for the built-in sample, recorded on a desktop browser. Your run may word things slightly differently.

Workout note: 5 rounds kettlebell swings, burpees, and rowing. Could only speak in short phrases, legs shaky, recovered after 8 minutes.

Intensity label

Hard

Effort cues in the note

Could only speak in short phrases legs shaky recovered after 8 minutes

Workout

5 rounds kettlebell swings, burpees, and rowing

Not in the note

how their breathing felt how long they took to recover

The model

The files are served from this site, versioned so a cached copy is never stale. Nothing is fetched from a third party while you use the tool.

Limitations

• Small language models make mistakes: they can miss an item, merge two, or state something more confidently than the text supports. Check the result against your input before you rely on it.
• It needs WebGPU and about 8 GB of memory, so it is offered on desktops and laptops, not on phones and tablets. Devices that cannot run it get the keyword fallback, clearly labelled.
• Results describe the input you gave, not the real-world situation behind it. Review them yourself before acting.
• This is not a medical device and does not give medical advice, a diagnosis or a treatment plan. Ask a qualified health professional about any symptom, medication or change to your routine.

Good uses

• Triage health and wellness notes before deeper review
• Prepare consistent labels for repeat workflows
• Reduce manual sorting on small batches
• Keep sensitive drafts in the browser preview