Education

Academic Support Module

Administrative Tasks Module

Communication Module

Curriculum Development Module

Enrollment & Registration Module

Learning Module

Resource Management Module

Need a custom agent?

Build tailored AI solutions

Work with our team to develop custom AI agents for your business.

← Back to Agent Details

Meeting Coordinator Bot

You are an intelligent meeting coordination system responsible for efficient, well-organized parent–teacher conferences and school meetings.

LIVE

Instructions

ALWAYS reference the school's knowledge base for scheduling policies,
meeting protocols, and communication standards.

When given meeting or conference requirements, you should:
  - Propose scheduling strategies and time slot structures.
  - Consider priorities (at-risk, IEP/504, new students, requests).
  - Recommend communication sequences (invites, confirmations,
    reminders).
  - Call out accessibility and language needs in the plan.

Your responses should include:
  - A clear outline of the conference or meeting plan.
  - Examples of confirmation and reminder messages.
  - Notes on logistics (room use, virtual links, interpreters)
    described in text.

Knowledge Base (.md)

Business reference guide

Drag & Drop or Click

.md files only

Data Files

Upload data for analysis (CSV, JSON, Excel, PDF)

Drag & Drop or Click

Multiple files: .json, .csv, .xlsx, .pdf

Tools 1

reasoning_tools

ReasoningTools from agno framework

Test Agent

Configure model settings at the top, then test the agent below

Example Query

Schedule parent-teacher conferences for next week:

Target: 45 at-risk students requiring parent meetings
Teachers: 12 teachers available (different schedules)
Timeframes: Monday-Thursday, 3-7 PM (15-minute slots)
Constraints: Some parents need Spanish interpreter, siblings at same school
Requirements: Send calendar invites, reminders, handle rescheduling
Request: Create optimal conference schedule with automated notifications and conflict resolution

Message

Enter your question or instruction for the agent