Improving Biodiversity In An Area

Research Project Feasibility Exploration

Assess whether AI can help improve biodiversity in a local area based on data. Use Stonesfield in Oxfordshire as the feasibility test.

Project Description

Aim: Assess whether AI can help improve biodiversity in a local area based on a dataset.

Test area: Stonesfield, Oxfordshire.

Question: What public data can be used now, what first result can it produce, and what would still be needed before suggesting practical improvements?

Desired output: A first evidence-based view of what has already been observed, where the gaps are, and what further work could help.

Workflow

1. Find useful data
2. Download a sample
3. Visualise the sample
4. Decide what else is possible
5. Explain the process
6. Set up project memory
1

Find Useful Data

Prompt 
I want to assess whether we can use AI to improve biodiversity in a local area based on a dataset. Let's use Stonesfield in Oxfordshire to assess feasibility.

Find a public data source I can use now, and tell me what first result I could get from it.
2

Download A Small Sample

Prompt 
Use the iNaturalist public API to download a small sample of recent research-grade observations within 2 km of Stonesfield, Oxfordshire.

Save the useful fields as a CSV called inaturalist_observations_sample.csv.
3

Build A First Visualisation

Prompt 
Using inaturalist_observations_sample.csv, build a simple local HTML visualisation called biodiversity-feasibility.html.

Show the number of observations, a table of recent observations, one simple chart, and a short note on what this data can and cannot tell me.
4

Explore What Else Is Possible

Prompt 
Look at the data and the biodiversity improvement aim again.

What else could I do with this data to understand biodiversity in Stonesfield, and what other data would I need before suggesting practical improvements?
5

Explain The Process

Prompt 
Describe the process you used, explain any code you wrote in plain language, and outline possible alternative approaches to solving this same problem.

Create a simple local HTML page called biodiversity-process.html that visualises the steps from project aim to data source, download, visualisation, interpretation, and next decisions.
6

Set Up Project Memory

Prompt 
Help me set up this folder so I can keep working on the biodiversity data project without losing track.

Create a short project-specific AGENTS.md with enough instructions for another agent to continue the work. It should include the project aim, folder rules, first action, data-source rules, task tracking in _TASK-LOG, change tracking in _CHANGELOG when useful, checks before claiming a result, and a small self-healing rule for updating instructions when feedback repeats.

Also create CLAUDE.md as a bridge containing only @./AGENTS.md, so Claude-style agents load the same project rules. Put the actual instructions in AGENTS.md, not in CLAUDE.md. Keep everything terse and operational.