Algorithm 2. A.D.A interaction process within ArsHive.

Input: User-Provided Data File (Excel or CSV format)

Output: Chat Window with Loaded Dataset

Begin    Initialize ArsHive Software    A.D.A. button is displayed on ArsHive Software Interface    When A.D.A. Button is Clicked:       Prompt User for OpenAI API Key       Initialize OpenAI API with Provided Key       Open Data Preprocessing Window       Display Options to Upload Data File (Excel or CSV)       User Uploads File       Load Dataset into A.D.A.       Calculate Token Count and Associated Cost for Dataset       Display Token Count and Cost in Preprocessing Window       Allow User to Modify Dataset if Needed (e.g., Delete Columns)       Confirm Final Dataset for Analysis       Transition to Chat Window       Display Summary of Dataset (Variables, Global Identifier, Token Cost)       Initialize Chat Session with GPT-4-turbo Model       Load Dataset Context (Variables, Token Information)       User Interacts with A.D.A. through Chat Window       Send Queries Related to Dataset       Receive Responses from A.D.A. based on GPT-4-turbo Model       Maintain Session History for Continuous Conversation Context       Offer Option to Save Session Transcript    End A.D.A. Interaction on User Command or Window Closure End