Eliminates one Anthropic API call entirely by using pattern matching:
- Add 120+ known single-company names (Ernst & Young, M&S, law firms, etc.)
- Detect "/" separator as clear indicator of multiple companies
- Use company suffixes (Ltd, PLC) to identify when "&" means two companies
- Conservative approach: don't split ambiguous cases
Added 40 unit tests for compound name detection covering:
- Known single companies with & and "and"
- Slash-separated company names
- Ambiguous cases
- Edge cases (empty, null, short names)
Estimated savings: ~$0.01 per CV check, 100% elimination of this API call
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Major improvements to company name matching accuracy:
- Add well-known brands dictionary with correct Companies House numbers
for fast-track verification (Boots, Legal & General, EY, etc.)
- Add safe expansion words (UK, LIMITED, GROUP, PLC) that don't change
company identity
- Fix core word validation to require original company's core words
- Remove overly aggressive skip words that removed meaningful identifiers
(industries, technology, consulting, services, etc.)
- Add industry context hints for AI matching
- Fix CVBatchTester JSON deserialization for test files
Before: 98% verified but with false positives like:
- Boots → BOOTS AND BEARDS (wrong)
- Legal & General → LEGAL LIMITED (wrong)
After: 97% verified with correct matches:
- Boots → BOOTS UK LIMITED (correct)
- Legal & General → fast-tracked to correct company
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Rename all TrueCV references to RealCV across the codebase
- Add new transparent RealCV logo
- Switch from JetBrains Mono to Inter font for better number clarity
- Update solution, project files, and namespaces
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
