Blog post: remove 'The bugs we found' section (all 4 bugs were from our implementation, not the paper algorithms). Replace company data references in MCP section with Galaxy example. Update ensemble dynamics table with public datasets.
README: replace Docker Compose with Portainer templates in 'Why grammar inference?' table, Real-world Results, and Domain Adapters.
SHOWCASE: replace Docker Compose with Portainer templates.
All claims verified: no public documentation of geerlingguy module ordering convention exists.
- Ensemble inference (infer_ensemble) runs both CRX and iDRegEx, picks best by MDL
- CRX: CRX algorithm for wide coverage (accepts all sequences, large vocabulary)
- iDRegEx: iDRegEx for minimal core grammar (tightest common pattern)
- MDL scoring: fixed model_cost to count alphabet symbol occurrences, fixed dispatch order in _count_words_fast
- Fixed _match_tokens: rewritten as _match_possible with proper backtracking
- Fixed _parse_parts disjunction: children use _parse_flat_symbol to avoid dot-splitting
- MCP server: infer_best_grammar and infer_grammar tools
- Added prefer parameter (crx/idregex) to skip ensemble
- 28 passing tests
- SHOWCASE.md with Geerlingguy Galaxy demonstration
- blog_post.md with full technical deep-dive
