index 2ae350b..1a976ec 100644
@@ -14,4 +14,4 @@ autocomplete that actually knows you — your vocabulary, your writing style, yo
the technical approach: train or fine-tune a small language model on your corpus — emails sent, messages, documents, notes — so it learns your voice specifically. the model would autocomplete based on both semantic context (what makes sense to say here) and stylistic context (what sounds like you). a local-first approach is essential: your writing is maximally private data. the inference cost needs to be low enough to run on-device so suggestions appear instantly without a round trip to a server.
-this is closely related to [[me-model|me model]] which takes the same personal training data idea further, and to [[axon|axon]] which provides the personal context layer that makes autocomplete smarter. [[embedding-tone-interpolation|embedding tone interpolation]] is a relevant technique — separating tone and meaning in embedding space could let you suggest content that matches the current semantic need while preserving your stylistic fingerprint. [[life-search|life search]] could provide the retrieval mechanism for surfacing relevant prior writing during autocomplete. [[writing-tools|writing tools suite]] is the broader category this falls into.
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+related: [[me-model|me model]], [[axon|axon]], [[embedding-tone-interpolation|embedding tone interpolation]], [[life-search|life search]], [[writing-tools|writing tools suite]]
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