Scouter currently lacks clear getting started documentation, making it difficult for new developers to get up and running quickly. ## Tasks - [x] Write a "Getting Started" guide covering installation, basic setup, and first use - [x] Document how to spin up the local server (Docker backends + `make start.server`) - [x] Add a quickstart example for each core feature: drift detection (PSI/SPC/custom), tracing, and GenAI evaluation - [x] Document environment variables required for the server - [x] Add a section on the Python client (`ScouterClient`, `Drifter`, `ScouterQueue`) - [x] Ensure docs are linked from the README ## Notes - Target audience: developers new to Scouter who want to integrate it into an ML workflow - Should cover both the Python client and the self-hosted server setup
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