Search the curriculum

Ask anything, or describe what you need. Results show the courses your request maps to, the passages inside them, and, when you want it, every step the AI took to find them.

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Show how the AI found this

How to read this

The request is first read into grades, subjects and an audience. Those become real courses, whole or in fragments. Each search angle runs a meaning search and a keyword search, and the lists are fused so passages found by several angles rank higher. A fast model then keeps the relevant passages with a reason each, and the kept outcomes are assembled in curriculum order inside a token budget. The answer is written from that outline only, and every cited sentence is checked against its source.

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Understanding
The request is read into grades, subjects, audience and scope.
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Scope
Each subject and grade becomes a real course, whole or in fragments.
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Search angles
The question is split into a few short searches with weights.
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Matches
Each angle runs a meaning search and a keyword search.
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Ranking
The lists are fused so passages found by several angles rise.
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Vetting
A fast model keeps relevant passages and drops the rest, with a reason each.
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Selection and merge
Kept outcomes are assembled per course in curriculum order, inside a token budget.
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Context
The selection is written as an aliased outline; the model sees only this.
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Answer and verification
The answer cites the outline; each cited sentence is checked against its source.
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Audit
Tokens and time for every stage, with the trace to replay it.
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What you can generate from this
Material built from the same selection.
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