Repeatability
High
The structure is identical for every row: normalize text, classify into one of four fixed categories. This is a batch operation with no meaningful variation in process across the 340 posts.
Ambiguity Tolerance
Medium
The four theme categories are named but not formally defined, so borderline captions (e.g. a promotional post with educational copy) require a judgment call. Success is mostly clear but a small percentage of rows will be genuinely ambiguous.
Data & Tool Availability
High
The Google Sheet is the only data source needed and is fully accessible via export or API. No live platform access, credentials, or external APIs are required to complete the task.
Error Cost
Low
Misclassified rows or imperfect capitalization fixes are easily spotted and corrected in a spreadsheet. No downstream system is automatically triggered, and no client-facing content is published as a result.
Human Judgment Required
Low
Caption normalization is mechanical, and theme classification against four named buckets is well within current LLM capability. A human spot-check on ambiguous rows is advisable but not required for the bulk of the work.