david-sql-task-importance

Task importance scoring works by presenting seven tasks per batch (A-G) for you to evaluate. The AI records your 0-10 scores, checks existing values to avoid guessing, and persists results to the todoist-task-dimensions database and user-behavior logs.

Task prioritization scoring uses safety checks to review existing david_importance values and reasoning before updating. This prevents guessing and ensures your task scoring remains auditable and consistently measured across sessions.

Yes, task scoring data is saved to docs/data/todoist-task-dimensions.db while AI updates user-behavior.db and the brain directory. This tracks user behavior and scoring decisions locally for later analysis.

Batch task scoring is an effective way to manage Todoist task prioritization. It processes seven tasks at a time, records your 0-10 scores to the database, and logs your user behavior for ongoing data management.

No, the task scoring process always checks existing david_importance values and related columns before scoring. It never guesses scores and ensures previous reasoning is considered before updating the database.