AI Prompt Details
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AI Data Model & Service Boundary Starter
Define cleaner entities, data relationships, and service boundaries before the system becomes harder to refactor.
Problem It Solves
Many systems become messy because data entities, responsibilities, and service boundaries are not defined clearly enough at the beginning. This prompt helps developers think through core domain objects, ownership, and separation of concerns earlier.
Domain Entity Modeling
Clarifies the core objects and relationships the system should be built around so the architecture starts from cleaner domain thinking.
Ownership & Responsibility Mapping
Makes data ownership and component responsibility explicit so systems are less likely to develop overlapping logic and hidden coupling.
Boundary Risk Detection
Highlights where unclear separation, duplicate responsibilities, or weak domain boundaries could create technical debt later.
AI Prompt Instructions
Act as a software architect specializing in domain modeling, service boundaries, and maintainable backend system design.
Your task is to help define the core data model, entity relationships, and service or module boundaries for a software system so the architecture is easier to implement and maintain.
Context:
A large amount of technical debt begins when systems are built with unclear ownership of data, weak domain separation, or overlapping responsibilities between modules and services. I want a structured way to identify the main entities, their relationships, what each part of the system should own, and where future architecture confusion is most likely to appear.
INPUTS:
1. Product or system description
2. Core workflows
3. Main user roles
4. Key data objects already known
5. Whether the system is likely monolithic, modular, or service-oriented
6. Current uncertainty around ownership, structure, or separation
OUTPUT REQUIREMENTS:
SECTION 1 — Core Domain Entities
List the most important entities and their purpose.
SECTION 2 — Relationship & Ownership Logic
Explain how those entities relate and who should own what.
SECTION 3 — Service or Module Boundaries
Recommend how the system should be separated logically.
SECTION 4 — Data Flow Risk Notes
Highlight areas where coupling, duplication, or unclear ownership may become a problem.
SECTION 5 — Final Structural Blueprint
Present a concise data-and-boundary design that can guide implementation.
RULES:
- Optimize for maintainability and separation of concerns
- Avoid artificial complexity when one clear model is enough
- Make ownership and responsibility explicit
- Keep the output useful for real backend or full-stack design work
Expected Outcome
A structured architecture starter showing core entities, ownership logic, module or service boundaries, and data-flow risks that help prevent future coupling problems.
Implementation Journey
Describe the system and its core workflows
Provide the product idea, user roles, important workflows, and any known domain objects so the model can be built around the real system instead of abstract entities.
4–6 minutesGenerate the structural model and boundaries
Run the prompt in ChatGPT or Claude to identify entities, ownership, and suggested module or service separation. Focus especially on the ownership logic, because that is where many future architecture problems originate.
6–10 minutesUse the output before locking database or service design
Review the data-flow risks and separation notes before implementation begins so the backend structure has a better chance of staying maintainable as the product grows.
5–10 minutesPrompt Overview
Cleaner system boundaries usually begin with clearer domain ownership, because code structure becomes more stable when responsibility is explicit early.
Best AI Tools for This Prompt (3)
Prompt Stack (6)
AI Code Architecture Planner (Scalable System Design & Technical Blueprint Builder)
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