Documentation.
How Ignia works, how to set it up, and the reasoning behind its design. Start with installation, or go directly to the section you need.
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How it works.
Two pages. Why Ignia is a course engine and not a chatbot, and how a single exercise session is built, with the deterministic planner and real output from the engine.
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Why it works this way.
The reasoning, not the mechanism. Why the app asks you things instead of explaining them again, why it waits before bringing something back, why it is harder than it needs to be, and why it mixes topics up. Each page names the obvious approach, why it fails, and what ours does not buy.
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Install.
How to get Ignia running on desktop, mobile, or in the browser. System requirements and first-launch checklist.
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Exercises.
The fourteen exercise types, what each one tests, and how grading works for both deterministic and AI-judged answers.
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AI providers.
How to plug in a managed AI, your own API key, or a fully local model. Per-skill overrides and what each mode commits to.
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FAQ.
Common questions: pedagogy choices, retention versus mastery, pricing, data handling, what runs offline.
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Technical documentation.
Two references, verified against the engine source. What may write each course object and the context each generation reads; and exercise generation at source level: the grid, its constants, the prompt, the known gaps.
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