Article
Nov 29, 2025
Rapid ASCII Application Blueprinting Framework (RABF)
A framework for using ChatGPT to rapidly design clear, documented app workflows using ASCII screens—cutting design cycles, improving clarity, and standardizing engineering automation. I kept the typo in the thumbnail image as a reminder that it is the users responsibility to check for errors when using A.I
Rapid ASCII Application Blueprinting Framework (RABF)
Designing End-to-End App Workflows with ChatGPT Using ASCII Screens
A Complete Workflow-Driven Approach for CAD, Engineering, and Product Teams
Engineering teams lose enormous time translating business requirements into UI screens, data models, workflows, and system logic. Traditional UI/UX processes (whiteboards, hand sketches, static wireframes) slow down momentum, create ambiguity, and often fail to reach developers with clarity.
A modern alternative is emerging: using ChatGPT to design applications end-to-end through ASCII screen prompts.
This article shows you how to use ChatGPT to:
Generate a workflow blueprint
Produce ASCII screen mockups for every required step
Define UI controls, inputs, validation, and events
Output data structures, collections, and API calls
Map everything to a real engineering context
Deliver developer-ready specifications in minutes
This process is fast, iterative, and fully compatible with Autodesk Inventor, Autodesk Vault, .NET, web apps, and cross-platform tools.
Why ASCII Screens Work
ASCII screen wireframes are extremely powerful for early-stage design:
Zero ambiguity
Fast to iterate
Platform-agnostic
Developer-friendly
Easy to version control
Perfect for ChatGPT prompt-driven systems
They are efficient enough for rapid iterations yet structured enough for engineering teams to immediately convert into UI code.
What You Will Build
Using the workflow in this article, you will create:
A ChatGPT prompt that generates ASCII mockups for every screen
A consistent UI/UX structure across mobile, desktop, and cross-platform systems
A blueprint covering controls, events, validation rules, and transitions
Data structures for all entities
A complete functional workflow
A technical spec suitable for GitHub, engineering review, or onboarding
A linkable developer-friendly document (GitHub Pages recommended)
The ASCII Workflow Prompt System
Below are the three prompt variants your reader will choose from.
These correspond to real-world product categories:
A: Cross-platform apps (desktop, web, mobile)
B: Mobile-only (iOS, Android, iPadOS)
C: Desktop-only (CAD plugins, Windows tools)
Each prompt instructs ChatGPT to produce ASCII screens, UI controls, data structures, workflows, and integration logic.
Prompt A — Cross-Platform Workflow Prompt
This is ideal for applications expected to run everywhere.
You are a senior software architect. Generate a complete end-to-end workflow design for an application.
1. Provide ASCII screen mockups (one per screen).
2. List all UI controls per screen (buttons, fields, dropdowns).
3. Provide full data models in JSON or C#.
4. Define collections needed.
5. Define workflow transitions and events.
6. Define permission logic.
7. Define API/SDK integration points.
8. Define validation and error handling.
9. Define output actions.
10. Add notes for developers.
Prompt B — Mobile-First Workflow Prompt
Best for smartphone or tablet form factors.
You are a senior software architect. Generate a mobile-first workflow design for an application.
1. Provide vertically stacked mobile-style ASCII screens.
2. List UI controls and mobile layout patterns.
3. Provide data models (JSON or C#).
4. Define collections needed.
5. Define transitions, navigation patterns, modals.
6. Define permission logic.
7. Define API calls and responses.
8. Define validation and mobile error handling.
9. Define output actions.
10. Add notes for mobile developers.
Prompt C — Desktop Workflow Prompt
Best for CAD automation, engineering tools, or Windows desktop applications.
You are a senior software architect. Generate a desktop workflow spec for an application embedded in a host software (e.g., Inventor).
1. Provide ASCII dialog windows and layouts.
2. List UI controls with exact placement.
3. Provide C#-style data models.
4. Define collections needed.
5. Define desktop workflow transitions.
6. Define permission logic (Vault groups).
7. Define integration points for Inventor and Vault SDK.
8. Define validation and desktop error handling.
9. Define output actions (export PDF, update metadata).
10. Add constraints and developer notes.
Reader Poll
For your application, which environment are you designing for?
A: Cross-platform (desktop + mobile + web)
B: Mobile-only
C: Desktop-only (CAD tools, Inventor/Vault integrations)
Choose one, copy the corresponding prompt, and paste it into ChatGPT along with your requirements.
Requirements Checklist for the Reader
Before using the prompt, the reader must supply:
Business workflow goal
Example:
“User selects an assembly, enters metadata, exports a PDF, and updates Vault properties.”
Required fields
Project Number
Revision Letter
Change Description
Metadata sets
Naming convention rules
Output PDF format
Folder paths
Vault version handling
Permission rules
Vault group
Child group inheritance
Access restrictions
Technical environment
Desktop (e.g., Inventor 2025)
Mobile
Cross-platform
.NET version
SDK version
API integration endpoints
Internal metadata API
Vault 2025 SDK
Inventor API
Any internal REST endpoints
The more detail the reader provides, the sharper the ChatGPT-generated spec will be.
Real-World Example: Autodesk Inventor + Vault 2025 Workflow
Below is an example of how this system applies in engineering automation.
Scenario
A user clicks a custom ribbon button in Autodesk Inventor 2025.
The system opens a desktop window that collects:
Assembly selection
Metadata
Project number
Revision
Change description
Vault permission group
Then, after submission, it:
Exports a PDF of the active assembly
Names it according to a standard
Checks Vault group and sub-group permissions
Updates metadata
Saves or checks in the new version
Calls an internal API for metadata storage
Returns success or error states
All of this can be specified in detail using Prompt C.
Readers are encouraged to reference the official docs:
Autodesk Inventor API overview
https://help.autodesk.com/view/INVNTOR/2025/ENU/Autodesk Vault SDK documentation
https://www.autodesk.com/support/technical/article/caas/sfdcarticles/sfdcarticles/Where-to-find-developer-documentation-on-Vault-SDK-and-API.html
These links ensure readers never get stuck during implementation.
How to Use This Article
This guide has:
Clear headings
Practical workflows
Developer-ready examples
Applicable to enterprise systems
Easy to adapt for engineering teams
Designed to be shared across organizations
Readers follow three steps:
Pick environment (A, B, or C).
Provide the requirements checklist.
Paste the prompt into ChatGPT to receive a full spec.
The output becomes a developer specification, suitable for GitHub, engineering review, or onboarding.
Call to Action
Use this system to produce your first workflow specification today.
You will create:
ASCII UI screens
Workflow diagrams
Data models
Permission rules
API call sequences
Error handling
Fully linked developer documentation (GitHub recommended)
This workflow collapses the entire design cycle into hours instead of weeks — and produces clearer, more repeatable CAD and engineering automation systems.
After this have ChatGPT generate your spec in the same conversation so it remembers your preferences.
