Claude can drift during long, detailed work

Claude is being used to move years of university and law school notes into an . The goal is to review every lecture, assignment, and writing sample, then create detailed notes for each concept. The instructions are long and specific, and they also say the work can take multiple sessions and does not need to be rushed.

Claude performs well for about half a class, then slips back into making one broad summary page instead of breaking the material into separate concept notes. The work has to be stopped and corrected with firm reminders before Claude returns to the requested format. Claude then acknowledges that it took the easier path by leaning on outlines instead of turning the notes into smaller concept pieces.

The core problem is that a long AI task can start correctly but lose discipline over time and drift toward shorter, less careful output.

Key points

  • Claude starts the long note- task well but later drifts into broad summaries.
  • The requested output is detailed concept-by-concept notes, not a single summary page.
  • The instructions already allow multiple sessions and a slower pace, but that does not prevent drift.
  • Firm correction brings Claude back to the requested style, but the issue repeats.
  • Long AI tasks need batching, format checks, and supervision.
Read original