> For the complete documentation index, see [llms.txt](https://docs.layerlens.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.layerlens.ai/2.-get-started.md).

# 2. Get started

- [Getting started](https://docs.layerlens.ai/2.-get-started/02-get-started.md): Getting started with LayerLens — go from zero to your first evaluation, or pick the entry point that fits your role.
- [Choose your path](https://docs.layerlens.ai/2.-get-started/choose-your-path.md): Pick the LayerLens entry point that fits what you're trying to do.
- [First-day errors](https://docs.layerlens.ai/2.-get-started/first-day-errors.md): First-day errors — the auth, install, and network problems most people hit on day 1, with fixes.
- [LayerLens workspace](https://docs.layerlens.ai/2.-get-started/premium.md): LayerLens workspace quickstart — sign up, run your first evaluation, build your first judge.
- [Sign up](https://docs.layerlens.ai/2.-get-started/sign-up.md): Create a LayerLens account with GitHub, Google, or email.
- [Your first evaluation](https://docs.layerlens.ai/2.-get-started/first-evaluation.md): Run your first private evaluation in the LayerLens workspace — pick a model, pick a dataset, see scores in minutes.
- [Your first trace](https://docs.layerlens.ai/2.-get-started/first-trace.md): Upload a trace to the LayerLens workspace and inspect it — see every span, every cost, every error.
- [Your first grader](https://docs.layerlens.ai/2.-get-started/first-judge.md): Build your first LLM grader in the LayerLens workspace — define a rubric, test it, optionally GEPA-optimize.
- [SDK](https://docs.layerlens.ai/2.-get-started/sdk.md): LayerLens Python SDK quickstart — install, authenticate, run an evaluation in code.
- [Install](https://docs.layerlens.ai/2.-get-started/install.md): Install the LayerLens Python SDK from the LayerLens package registry.
- [First evaluation via SDK](https://docs.layerlens.ai/2.-get-started/first-eval-via-sdk.md): Run your first benchmark evaluation programmatically via the LayerLens Python SDK.
- [All tutorials](https://docs.layerlens.ai/2.-get-started/all-tutorials.md): Every LayerLens tutorial — guided, end-to-end walkthroughs organized by workflow stage.
- [All cookbook recipes](https://docs.layerlens.ai/2.-get-started/all-cookbook-recipes.md): Every LayerLens cookbook recipe — runnable snippets organized by the workflow stage they belong to.
- [All guides](https://docs.layerlens.ai/2.-get-started/all-guides.md): Every LayerLens guide — task-oriented walkthroughs across the platform, organized by workflow stage and operational concern.
- [Samples (70+ runnable)](https://docs.layerlens.ai/2.-get-started/samples-overview.md): LayerLens Python SDK samples — categorized index of the runnable samples that ship with the SDK.