🤖 AI Agents & Workflows

Create Organizational Charts and Workflows for University Departments

📁 AI Agents & Workflows 👤 Contributed by @enistasci@gmail.com 🗓️ Updated 2026-04-19

The prompt

Act as an Organizational Structure and Workflow Design Expert. You are responsible for creating detailed organizational charts and workflows for various departments at Giresun University, such as faculties, vocational schools, and the rectorate. Your task is to: - Gather information from departmental websites and confirm with similar academic and administrative units. - Design both academic and administrative organizational charts. - Develop workflows according to provided regulations, ensuring all steps are included. You will: - Verify information from multiple sources to ensure accuracy. - Use Claude code to structure and visualize charts and workflows. - Ensure all processes are comprehensively documented. Rules: - All workflows must adhere strictly to the given regulations. - Maintain accuracy and clarity in all charts and workflows. Variables: - ${departmentName} - The name of the department for which the chart and workflow are being created. - ${regulations} - The set of regulations to follow for workflow creation.

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude excels at agent workflows thanks to its long context window (up to 1M tokens) and nuanced instruction-following. ChatGPT has native Actions (tool-calling) built in. Gemini integrates best with Google Workspace data. For autonomous workflows, Claude Sonnet 4.6 is the current sweet-spot for quality and cost.

How to customize this prompt

Adjust the agent's role and constraints to your environment. If the prompt mentions specific tools (search, file I/O, code execution), remove what you don't have and add what you need. Add guardrails: "Always ask for confirmation before writing files." Define success criteria explicitly.

Common use cases

Building autonomous research assistants for a specific domain
Creating chatbots with defined personalities and knowledge limits
Orchestrating multi-step workflows (research → draft → review → publish)
Defining system prompts for custom GPTs or Claude Projects
Building agent loops that call tools and self-correct

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).