Planning Agents

Automated Task Solving with Coding & Planning Agents brings together two autonomous agents designed for educational operations: a planning agent that models tasks, sequences steps and optimizes scheduling or resource allocation, and a coding/execution agent that generates, tests and runs code (scripts, workflows) to carry out those plans directly or via existing systems (LMS, SIS, scheduling tools). This solution is built for departments such as student services, registrar’s office, academic scheduling and operational support in schools and universities. Typical problems addressed include: scheduling classrooms and instructors, automatic generation of weekly reports, resource assignment (labs, equipment), bulk data‑processing tasks, and recurring reminders/notifications workflows. The planning agent ingests the high‑level goal (e.g., “schedule 40 lab sessions across 6 rooms for 200 students in Week 12”), optimizes assignment given constraints, and produces a task list. The coding agent then generates scripts (e.g., Python, SQL, API orchestration) or triggers workflows (via n8n/Make) to execute the plan, validates output, alerts human review if needed, and logs results. Outcomes include faster operations, fewer manual errors, consistent execution of repeatable tasks, and scalability across semesters. Administrators gain a system that turns high‑level goals into executable workflows without full manual coding each time. Reviewers always maintain oversight by reviewing and approving generated workflows before live execution. This architecture emphasizes governance, audit trails and safe human‑in‑the‑loop workflows.