FieldNote: An AI Nature Journal That Helps You Touch Grass 🌿

Description and use

FieldNote is an app that helps users spend less screen time and more time observing nature, providing structured entries and observation tallies while preserving original notes.

Problem

Users spend too much time on screens instead of observing nature.

Outcome

FieldNote enables users to spend less screen time and more time observing nature, providing structured journals and observation tallies while preserving original notes.

Workflow

• 1. User opens FieldNote app.
• 2. App presents outdoor observation missions (e.g., notice leaf patterns, bird calls).
• 3. User goes outside and records observations (details, sounds, colors, weather, optional photos/sketches).
• 4. App sends raw notes to AI endpoint.
• 5. AI processes notes into a structured journal entry and updates observation tally.
• 6. User reviews and saves the structured entry in the browser.

Evidence

FieldNote is a nature journal built around one simple idea: spend less time looking at your screen and more time noticing the world around you.

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Once you're outside, you can record what you actually experienced, including surprising details, sounds, colours, weather, and optional photos or sketches.

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FieldNote can then help turn your raw observations into a structured journal entry while keeping your original notes available.

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During local development, FieldNote uses Ollama to run the open-weight Qwen 2.5 7B model on my own machine.

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To make a public demo possible, I added Cloudflare Pages Functions for the AI endpoints. The deployed version is configured to use Cloudflare Workers AI with Meta's Llama 3.2 3B Instruct model.

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