Re-derive stored advertising when the rule improves

Recognition is the expensive part and its output does not change. Which
stretches of it are advertising is a judgement that does -- and when subtraction
learned to pull its edges off the programme, the eighteen episodes already
transcribed kept the old boundaries.

Re-recognising them to pick up a better answer would cost hours of CPU for text
already sitting on disk, so this runs over the stored transcripts at startup
instead: eighteen alignments, a few milliseconds each, writing only where the
answer actually moved. The next improvement costs nothing to apply either.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018AwnALZL6bD4VBtATDVv3B

0 files changed, 0 insertions, 0 deletions