Aggregating

• Use when the same input should be processed by multiple prompts or tools in parallel, with results later aggregated
• Suitable for cross-validation, analysis by different perspectives, or any workflow needing robust result comparison

Example

• Input is a report or data file
• The main prompt launches several analyses in parallel (e.g., sentiment analysis, fact checking, topic extraction)
• The outputs are sent to an Aggregator prompt, which compiles a unified summary or report
• The summary is then saved and returned as the output