Accelerated Logic AI / Learning

Practical AI workspace tutorials

These focused guides explain common workflows in the browser-based workspace. Start with model setup, then choose the lesson closest to the task you want to complete. The documentation center contains the longer feature-by-feature reference.

12 min read • Beginner

Model Selection Guide

Compare browser-local runtimes with connected model providers. Choose by the task you need to complete, the information the model can accept, its provider limits and costs, and how your own representative prompts perform.

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15 min read • Intermediate

Multi-Agent Orchestration

Multi-agent workflows divide a larger task into role-based work and review. Clear scopes, inspectable changes, and a human review of the final result matter more than the number of agents.

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18 min read • Advanced

Skills & Workspace Instructions

Skills are reusable instructions that add context to model requests. They do not provision external APIs or databases; connect a supported service separately when you need an external action.

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10 min read • Intermediate

Full-Stack Web & Python Sandboxing

The browser playground runs supported Python packages through Pyodide, while generated web previews run in sandboxed frames. These boundaries reduce access but do not guarantee arbitrary code is safe.

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Tutorials describe the current product workflows. Features depend on your selected model and configured integrations. See the full documentation, tools catalog, and Privacy Policy before connecting a provider.