Reads student data from Google Sheets, prompts the AI agent to select exactly five courses per student based on prerequisites and term availability (Fall 2025), and appends each student’s schedule back to Google Sheets.
This AI agent reads per-student data from Sheet1, references catalog prerequisites, and validates completed courses. It then instructs the Scheduling Agent to select five courses per student totaling 15–17 credits for Fall 2025, prioritizing core requirements. Finally, it appends each student’s schedule to the schedule tab and provides an auditable log.
Per-student five-course selection with prerequisite checks and write-back.
Read input rows from Sheet1
Parse CompletedCourses and validate prerequisites against the catalog
Prompt OpenAI to select exactly five courses totaling 15–17 credits
Enforce Fall 2025 availability, avoid duplicates, and prioritize core courses
Ensure no course duplicates with already completed ones
Append StudentID and Schedule to the schedule tab and log outcomes
This AI agent replaces manual scheduling with a repeatable, auditable process. It ensures prerequisite compliance, accurate credit totals, and consistent catalog rule application across all students.
A simple 3-step flow that non-technical users can follow.
The agent reads StudentID, Name, Program, Year, and CompletedCourses from Sheet1.
The agent prompts the Scheduling AI to select exactly five courses totaling 15–17 credits for Fall 2025, following catalog rules and prereqs.
The agent appends each StudentID and Schedule to the schedule tab and logs the results.
A concrete run illustrating inputs and outcomes.
Scenario: Processing 20 students in a batch run. Each student receives five courses totaling 15–17 credits while honoring prerequisites and Fall 2025 availability. The results are written to the schedule tab with an auditable log for review.
Roles that gain from automated, auditable scheduling.
Streamlines batch processing of student schedules
Provides consistent recommendations aligned with degree requirements
Speeds up degree-planning iterations with reliable course selections
Ensures catalog rule compliance across cohorts
Low maintenance integration with Google Sheets and OpenAI
Enhances transparency in scheduling and reporting
The AI agent connects the following services to run end-to-end scheduling.
Reads input from Sheet1 and appends schedules to the schedule tab in the same spreadsheet.
Generates five-course selections per student while enforcing prerequisites and catalog rules.
Orchestrates the flow: Get Student Data → Scheduling Agent → Write Back.
Six practical scenarios to apply this AI agent.
Common questions and answers about this AI agent.
The agent reads StudentID, Name, Program, Year, and CompletedCourses from the input sheet, and uses catalog data to enforce prerequisites. If needed, sensitive identifiers can be masked prior to processing. Ensure access controls are in place for the Google Sheet.
The scheduling rules are configured specifically for Fall 2025. To support other terms, update the catalog rules and term availability in the agent prompt. Re-run tests with a sample dataset before deployment.
Prerequisites are enforced by requiring that a student’s completed courses meet all AND prerequisites defined in the catalog. The agent will not include a course unless all required prerequisites are satisfied.
The target is 15–17 credits per term. If credits can't be met due to catalog constraints, the agent prioritizes core requirements and Gen Ed options while staying inside the credit window.
Schedules are written to the schedule tab in Google Sheets. Each row corresponds to a selected course for a student, enabling clear auditing.
If the API rate limit is reached, the workflow retries automatically and provides diagnostic messages. Ensure API key validity and sufficient token budget to minimize interruptions.
Yes. Catalog rules, term availability, and credit targets can be updated in the prompt and catalog data to reflect new offerings or policies.
Reads student data from Google Sheets, prompts the AI agent to select exactly five courses per student based on prerequisites and term availability (Fall 2025), and appends each student’s schedule back to Google Sheets.
