Design Prompts as Forms and Reports (DPFR)
Traditional prompt engineering often requires users to craft intricate workflows or scenarios, which can overwhelm non-technical users and limit adoption.
Explore article / post← All frameworks & projectsFramework · Assem Hijazi
Design Prompts as Forms and Reports (DPFR)
A no-code framework that turns complex AI prompts into structured input forms and customizable output reports, making domain-specific AI applications easier to use, standardize, and scale.
The approach
Framework overview
A No-Code Framework for Building Structured AI Applications
Related Article: Design Prompts as Forms and Reports (DPFR)
Author: Assem Hijazi
Framework Overview
Design Prompts as Forms and Reports (DPFR) is a framework that simplifies prompt engineering by transforming complex AI prompts into structured input forms and customizable output reports.
Instead of requiring users to write complicated prompts, DPFR introduces an intuitive approach where users complete predefined forms, while AI processes the information and generates professional, structured reports.
The framework aims to make AI applications accessible to non-technical users while providing developers and organizations with a scalable approach to building domain-specific AI solutions.
The Four Core Components
| Component | Description |
|---|---|
| 1. Tree-Structured Input Forms | Organizes user inputs into hierarchical fields and subfields, supporting simple and complex AI workflows. |
| 2. Customizable Output Reports | Converts AI-generated results into structured reports with configurable sections, branding, layouts, and visualizations. |
| 3. Prompt Engineering Design Studio | A proposed no-code design environment with drag-and-drop tools, live previews, and mapping between input forms and output reports. |
| 4. Domain-Specific Libraries | Reusable forms and report templates tailored to industries such as healthcare, finance, marketing, and education. |
How DPFR Works
The framework introduces a straightforward process:
Structured Input Forms → AI Prompt Processing → Customized Reports
Users provide information through organized forms rather than writing complex instructions. AI processes the structured inputs, and the results are presented through predefined report templates.
This approach separates the complexity of prompt engineering from the user experience.
Business Applications and Benefits
DPFR can support:
- AI Application Development: Creating user-friendly, domain-specific AI applications without requiring users to understand prompt engineering.
- Business Reporting: Generating consistent, professionally formatted reports.
- Workflow Standardization: Establishing reusable forms and report structures across departments.
- AI Accessibility: Enabling non-technical professionals to use advanced AI capabilities.
- Scalability: Supporting reusable templates and standardized AI workflows across organizations.
Strategic Value
DPFR shifts AI interaction from traditional conversational prompting toward structured, application-like experiences.
By combining predefined input forms, customizable reports, and reusable templates, the framework provides a foundation for developing AI solutions that are easier to use, maintain, and scale.
Core Principle: Users should focus on providing information and achieving outcomes—not on learning how to write complex AI prompts.