Update App workflow

docs/docs/getting-started/app-anatomy.md

@@ -20,7 +20,7 @@ The architecture of the Jan.ai application is designed to provide a seamless exp
 - The BackEnd serves as the brain of the application. It processes the information, performs computations, and manages the main logic of the system.
 
 :::info
-For easy to understand, this is like an [OS (Operating System)](https://en.wikipedia.org/wiki/Operating_system) in the computer.
+This is like an [OS (Operating System)](https://en.wikipedia.org/wiki/Operating_system) in the computer.
 :::
 
 **FrontEnd:**
@@ -94,3 +94,69 @@ These are modular components or extensions designed to enhance the application's
 2. This input is broadcasted as an event into the **Broadcast event**.
 3. The **BackEnd** processes the event. Depending on the event, it might interact with one or several Plugins.
 4. Once processed, **Broadcast result** can be sent out asynchronously through multiple notifications via Notify action.
+
+## Jan workflow
+
+![Workflow](img/arch-flow.drawio.png)
+
+### Overview
+
+The architecture of the Jan.ai desktop application is structured into four primary modules: "Prompt Template," "Language Model," "Output Parser," and "Apps." Let's break down each module and understand its components.
+
+### Prompt Template
+
+This is where predefined templates are stored. It sets the format and structure for user interactions. It contains:
+
+- **Character's definition:**
+
+Definitions of various characters or entities that may be interacted with or invoked during user requests (e.g., name, personality, and communication style).
+
+- **Model's definition:**
+
+Definitions related to the different language models (e.g., objectives, capabilities, and constraints)
+
+- **Examples:**
+
+Sample inputs and outputs for guidance. If given good examples, LLM could enable basic reasoning or planning skills.
+
+- **Input:**
+
+The actual user query or request that is being processed.
+
+### Large Language Model
+
+This processes the input provided.
+
+- **Local models:**
+
+These are the downloaded models that reside within the system. They can process requests without the need to connect to external resources.
+
+- **OpenAI:**
+
+This will connect you with OpenAI API, allowing the application to utilize powerful models like GPT-3.5 and GPT-4.
+
+:::info
+To use OpenAI models, you must have an OpenAI account and secret key. You can get your [OpenAI key](https://platform.openai.com/account/api-keys) here.
+:::
+
+- **Custom Agents:**
+
+These are user-defined or third-party models that can be integrated into the Jan.ai system for specific tasks.
+
+### Output Parser
+
+Language models produce textual content. However, often, there's a need for more organized data instead of plain text. This is achieved using output parsers.
+
+- **Parser:**
+
+This component ensures that the output conforms to the desired structure and format, removing unwanted information or errors.
+
+### Apps
+
+This represents applications or extensions that can be integrated with Jan.
+
+- **Characters:** Characters or entities that can be utilized within the applications.
+
+- **Models:** Different Large Language Models, Large Multimodal Models, and Stable Diffusion models that the apps might use.
+
+- **RAG:** Represents a "Retrieval Augmented Generation" functionality, which helps in fetching relevant data and generating responses based on it.