Learn SparkLang

Tutorials for orchestrating and gating train jobs: dry-run first, then train→status→expect, classify, playbooks, and the IDE. Built for solo and small teams who want reviewable pipelines in PRs without SDK glue.

Tutorial trail

1. Getting Started

Download, install, verify with --dry-run, configure dry-run first; optional gateway key for live ask.

2. Your First Program

Write train_eval.spark: train, status, and expect.

3. AI in 5 Minutes

Train→expect, classify, extract, pipeline — the loop in one lesson.

4. Build a Model

model train, status, expect — interactive wizard.

Beyond the 5-minute trail

Function Catalog

Search 100+ ops — model, AI, review, browser, network, CUDA, IDE, crypto, and stdlib recipes.

Playground

Edit samples in the browser with catalog-driven presets and dry-run preview.

Language Reference

Full statement spec — dry-run vs live notes per op.

Reference & tools

AI models — analyze, compare, improve, build; dry-run vs gateway
Language reference — full statement spec
Programming guide — CLI, build, verified examples
Playground — edit samples in the browser
Downloads — installers by platform