Getting started
Getting started with LayerLens Stratix — go from zero to your first evaluation, or pick the entry point that fits your role.
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Getting started with LayerLens Stratix — go from zero to your first evaluation, or pick the entry point that fits your role.
Welcome. This section gets you from "I just heard of LayerLens Stratix" to "I have a real evaluation running against my data" — fast. The page you're on is a launchpad; the links below are the actual ride.
Hit an error already? Skip ahead to Common first-day errors — install, auth, env-var, and network problems most people see in their first hour, with fixes.
If you have a Python environment and 5 minutes, do this first. One file, copy-paste-runnable, ends with a real accuracy number and a UI link.
Run your first evaluation in 5 minutes
One Python script. Install, auth, fetch a model, fetch a benchmark, run, inspect results.
Did the 5-minute run. Now what?
Not everyone wants to start in Python. Three browser-first entry points — pick whichever matches what you're trying to learn.
Most teams use all three together. A typical first day: Public to shortlist candidate models, Premium to run a private eval on your data, SDK to wire the winner into CI.
Once you've run your first eval, dig into whichever shape of content matches how you learn.
Everything in Stratix maps to five stages. Knowing the stage helps you find the right doc fast.
See The Stratix workflow for the full picture.
Common first-day errors — auth, install, network, env-var problems.
SDK troubleshooting — deeper SDK-specific issues.
Support — how to reach a human.
Status and reliability — is it us or you?
The honest answer depends on what you're trying to do. If you're not sure:
Pick one of the Top 5 starter recipes that matches a real problem you have.
When you hit something specific you need to learn, return to All tutorials / All cookbook recipes / All guides.
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