Model Creation Prompt: Beginner's Template
A ready prompt for creating data models, business models, or conceptual schemas. Suitable for beginners - fill in the placeholders and get a structured result.
Ready prompt
Role: You are an experienced system analyst and architect. Task: Create a model for [application area]. Type of model: [model type] Description: [brief description of task or system] Output format: - Name the key elements of the model (3-7 items) - Describe the connections between elements - Specify the main properties of each element - Provide an example of model usage Constraints: - Volume: no more than 300 words - Language: clear, without unnecessary jargon - Structure: bullet points and short paragraphs
Fill in variables 3
Enter your values - the prompt will update automatically.
Suitable AI tools
These neural networks handle the task best. Open the overview to learn about capabilities and pricing.
How to use
- Copy the prompt and paste it into ChatGPT, Claude, or another text AI.
- Replace [application area] with the field for which the model is needed (e.g., "order management system").
- Indicate in the [model type] field the required type: data model, business model, process model, etc.
- In the [brief description of task or system] field, write 1-2 sentences about what the model should cover.
- Submit the prompt and get a ready structured model with elements and connections.
- If necessary, refine the result: ask to add attributes, a diagram, or expand the description.
Example result
Data model for an online store
Key elements:
1. User - id, name, email, delivery address
2. Product - id, name, price, stock quantity, category
3. Order - id, date, status, amount, user link
4. Order item - order id, product id, quantity, price per item
5. Category - id, name, parent category
Connections: A single user can have multiple orders. One order contains several items. Each item is linked to a specific product.
Example of usage: When making a purchase, the system creates a new "Order" object, links it to the user, and adds items with selected products and their current prices.
Tips and variations
- Specify the model type: The more precisely you specify the type (ERD, BPMN, Canvas, UML), the more structured the result the neural network will provide.
- Add context: Mention the technology stack or platform - for example, "for PostgreSQL" or "for Notion" - to get a more practical model.
- Request visualization: After generating the model, add a request: "Show the model as a Mermaid diagram" - many AIs can build diagrams in text format.
- Iterate step by step: Start with a basic model, then ask to expand individual elements or add new entities.
Alternative AIs: The prompt works equally well in ChatGPT (GPT-4o), Claude 3.5, Gemini 1.5 Pro, and Mistral Large - choose any available tool.