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I had this as a ticket and am creating it over here in Kedro as it makes more sense. Have discussed with @rashidakanchwala
Idea is to:
- Create one or more draft information architecture plans for Kedro docs that follow basic diataxis principles of different user goals and knowledge acquisition or task activation.
- Then use the draft IA, Kedro's llms-full.txt and gen AI to attempt to rebuild Kedro docs along the new IA.
- Experiment with the different IAs and try different LLMs to see which builds docs that are most convincing at flattening the curve.
- Consider how to get feedback on it, e.g. should we create a subproject of Kedro that contains the new docs and publish it?
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