Built a full-stack PromptMaker web app on Replit that lets users create structured AI prompts using modular blocks for role, context, conditions, and examples.
PromptMaker is a full-stack web application designed to help users create structured, high-quality AI prompts using a modular block system.
The platform simplifies prompt engineering by guiding users through role definition, instructions, context, conditions, examples, and reasoning frameworks — all in one interactive interface.
This project demonstrates my ability to build developer-focused productivity tools, not just standard websites.
Problem
Most users struggle to write effective AI prompts because:
They don’t know the correct structure
They forget important context or constraints
Prompts are inconsistent and unoptimized
There is no guided workflow
The goal was to create a visual prompt builder that ensures completeness, clarity, and repeatability.
Solution
I built a block-based Prompt Builder Application that allows users to:
Select prompt roles and identity
Define tone and persona
Add goals, tasks, and processes
Provide background context and audience
Apply conditions like constraints and decision criteria
Insert positive and negative examples
Define reasoning steps and revision workflows
Export the final structured prompt instantly
Key Features
Modular Block Library
Role
Instructions
Context
Conditions
Examples
Reflection / Reasoning
Each block acts as a structured template, reducing prompt errors.
Interactive UI
Clean dashboard layout
Drag-and-drop block concept
Expandable categories
Real-time prompt generation
Export & Sharing
Copy as Markdown
Export structured prompts
Preview before finalizing
AI-Ready Architecture
Designed to integrate with AI APIs
Compatible with LLM workflows
Scalable for automation pipelines
Technical Highlights
Full-Stack Architecture
Modular component design
Dynamic prompt assembly logic
Structured data handling
Responsive UI
Developer-tool style UX
My Role
Product ideation
UX/UI design
Full-stack development
Logic architecture
Prompt engineering system design
Testing and optimization
Outcome & Impact
Reduced prompt writing time significantly
Increased prompt consistency and quality
Enabled non-technical users to create expert-level prompts
Positioned as a reusable developer tool rather than a single-use app