The Jabez Grace Enterprise Digital Transformation Platform (JGEDT Platform) is designed to function as an expert AI consulting system. It simulates a real-world enterprise engagement by providing specialized, AI-driven analysis across 10 distinct business and technology competencies.
Here is a step-by-step guide to how it operates:
Step 1: The Initial Interface (The “Lobby”)
When you first load the application, you are presented with a two-panel layout:
Left Panel (Sidebar): This is your primary navigation. It lists all 10 specialized modules, from “Customer Discovery” to “Leadership & Mentoring.” Each module has a title and a brief description of its purpose. You can use the search bar at the top to quickly filter these modules if you have a specific area in mind.
Right Panel (Main View): Initially, this area displays a Welcome Screen. It introduces the platform’s purpose and shows a grid overview of the 10 available modules. This screen acts as a starting point, encouraging you to select a module to begin your work.
Step 2: Selecting a Competency Module
Your first action is to choose the area of expertise you need.
Action: Click on any of the 10 modules in the sidebar.
Result: The main view on the right dynamically transitions from the Welcome Screen to the dedicated view for the selected module. For example, if you click on “Section 2: Enterprise Architecture Designer,” the main panel will update to reflect that choice.
Step 3: Crafting Your Request
You are now in the “workspace” for your chosen module. This view is split into two main sections: an input area and an output area.
Your Request Section: This is where you provide the context for the AI.
Text Area: Type your specific question, scenario, or problem into the large text box. The placeholder text will guide you (e.g., Enter details for Enterprise Architecture Designer…).
Example Prompts: Below the text area, you’ll find several clickable buttons with example prompts. These are designed to help you get started quickly and understand the kinds of requests the module is best equipped to handle. Clicking one will automatically populate the text area with that example.
Step 4: Generating the AI Analysis
Once your request is ready, you engage the AI.
Action: Click the orange “Generate Analysis” button.
Behind the Scenes:
The application takes your input text (e.g., “Design a multi-cloud architecture…”).
It prepends the module context (e.g., “Section 2:”) to your text.
This combined user request is then sent to the Google Gemini API, along with a powerful MASTER_SYSTEM_PROMPT. This master prompt is crucial; it instructs the AI to act as the “EAITP,” an expert enterprise consultant, and provides it with the context of all 10 modules, key business metrics, and a recommended technology stack.
The application uses the gemini-2.5-pro model and streams the response back.
Step 5: Receiving and Viewing the Output
You don’t have to wait for the full response to be generated. The results appear in real-time.
AI Generated Output Section: As the Gemini model generates its analysis, the text streams word-by-word into this section. A loading indicator is displayed initially.
Rich Formatting: The AI’s output is formatted using Markdown for excellent readability. This includes bold text, headings, bullet points, numbered lists, and code blocks, making complex information easy to digest.
Code Blocks: If the AI generates code, it’s displayed in a distinct block with a language identifier (e.g., python) and a convenient “Copy” button.
Step 6: Managing Your Session
After the analysis is complete, you have several tools at your disposal in the header of the “AI Generated Output” section:
Download: Click the download icon to save the complete AI-generated text as a .txt file on your local machine. This is useful for reports and documentation.
Clear: Click the trash icon to completely clear your input text and the AI’s output. This resets the current module, allowing you to start a fresh query without losing your place.
Home: Click the “Home” button in the main header to return to the initial welcome screen, allowing you to select a different module.
The entire process is designed to be a seamless cycle: Select a specialty -> Provide a query -> Receive expert, context-aware analysis -> Manage the results.
This allows you to leverage the power of a sophisticated AI model through a structured, intuitive, and enterprise-focused user interface.