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🧪 add segment classifier, protocol processor test harness, and full chain tests
- Part 4 blog: segment classifier synopsis with processor + chain test results
- Segment classifier: training script, eval harness, 50 labeled mixed dictations
- Protocol processor: updated with needs-llm detector, test harness (92 unit + 100 eval)
- Full chain test: 12 cases through classifier → model → reassembly
- Model weights: segment-classifier-model.json, needs-llm-model.json
- Eval data: 100 dictation-to-command pairs across 31 categories
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🧪 initial commit — voice-to-syntax training lab
Processor, pipeline, eval data, training infrastructure, and blog drafts
from the voice dictation → programming syntax experiments.
Architecture: LLM normalizer → procedural processor (split approach).
Zero-training pipeline achieves 47% on mixed-difficulty eval (2x baseline).
