v1.0.0 — Initial release
First complete version of the defense news classifier.
- Synthetic dataset generator (300 labeled articles)
- LLM classifier via Anthropic API with structured JSON output
- Eval harness with accuracy, per-label precision/recall/F1, confusion matrices, and misclassification log
- 79.0% category accuracy / 97.3% domain accuracy on 300-article eval set
- 33 unit tests, GitHub Actions CI, pre-commit hooks
See CHANGELOG.md for full details including a documented negative result (prompt experiment that regressed the eval).