Gratitude Journal Signal Finder

How Gratitude Journal Signal Finder works

Press Load model once: your browser downloads Gemma 3 270M instruction-tuned (web build) (276 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 270M 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 also carries one worked example: the built-in sample with the answer the larger Gemma 4 E2B model gave for it. That example is what lets this smaller model follow the answer format reliably.

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 gratitude journal entry and organise what the person appreciated: the specific things, the people they mention, and the themes those fall into (for example small comforts, help from others, progress, nature). Reflect only what they wrote and suggest one gentle prompt for their next entry. 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.

What it returns

• Things appreciated: Each specific thing they are grateful for, close to their words.
• People mentioned: Names or relationships mentioned in the entry. Empty if none.
• Themes: Short theme names that group the entries, each with the items it covers.
• Prompt for next time: One short journaling prompt that builds on a theme in this entry.

Worked example

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

Gratitude entry: Good coffee on the porch, Maya covered the school pickup, and the team finally closed the bug that blocked launch.

Things appreciated

Good coffee on the porch Maya covered the school pickup the team finally closed the bug that blocked launch

People mentioned

Maya the team

Themes

small comforts help from others progress

Prompt for next time

What small comfort could you intentionally create for yourself this week?

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.

You can switch models in the tool. Also available: Gemma 4 E2B instruction-tuned (web build) (2.0 GB); Gemma 3 1B instruction-tuned (web build) (728 MB). The larger language model gives more thorough answers but is a bigger download and needs a stronger device.

Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms.

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