We fine-tuned an AI model for log search – Accuracy 50% to 80%
Fixes AI log search blindness by fine-tuning embeddings on operational data.

96.4% quality at 1/7th the size—DistilBERT energy for log embeddings.
Engineering teams processing high-volume logs
DistilBERT · sentence-transformers · Instructor embeddings
Fixes AI log search blindness by fine-tuning embeddings on operational data.
Human-interpretable embeddings replace arbitrary latent dimensions.
Distilled Gemini tool-calling into a 26M model that runs at 1200 tok/s on phones.
Email-gated DocSend deck with grandiose claims and zero shipped code.
Identifies embedding models from digit patterns alone, ignoring semantic content entirely.
Orthogonal Procrustes migration means embedding model upgrades without reindexing.