DOCS-clear out the integrate_with_app article (#11799)

* DOCS-clear out the integrate_with_app article

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

docs/OV_Runtime_UG/integrate_with_your_application.md

@@ -12,19 +12,12 @@
 
 @endsphinxdirective
 
-> **NOTE**: Before start using OpenVINO™ Runtime, make sure you set all environment variables during the installation. To do so, follow the instructions from the _Set the Environment Variables_ section in the installation guides:
-> * [For Windows* 10](../install_guides/installing-openvino-windows.md)
-> * [For Linux*](../install_guides/installing-openvino-linux.md)
-> * [For macOS*](../install_guides/installing-openvino-macos.md)
-> * To build an open source version, use the [OpenVINO™ Runtime Build Instructions](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode).
 
-## Use OpenVINO™ Runtime API to Implement Inference Pipeline
-
-This section provides step-by-step instructions to implement a typical inference pipeline with the OpenVINO™ Runtime C++ or Python API:
+Following these steps, you can implement a typical OpenVINO™ Runtime inference pipeline in your application. Before proceeding, make sure you have [installed OpenVINO Runtime](../install_guides/installing-openvino-runtime.md).
 
 ![ie_api_use_cpp]
 
-### Step 1. Create OpenVINO™ Runtime Core 
+## Step 1. Create OpenVINO™ Runtime Core 
 
 Include next files to work with OpenVINO™ Runtime:
 
@@ -62,7 +55,7 @@ Use the following code to create OpenVINO™ Core to manage available devices an
 
 @endsphinxtabset
 
-### Step 2. Compile the Model
+## Step 2. Compile the Model
 
 `ov::CompiledModel` class represents a device specific compiled model. `ov::CompiledModel` allows you to get information inputs or output ports by a tensor name or index. This approach is aligned with the majority of frameworks.
 
@@ -143,7 +136,7 @@ The code above creates a compiled model associated with a single hardware device
 It is possible to create as many compiled models as needed and use them simultaneously (up to the limitation of the hardware resources).
 To learn how to change the device configuration, read the [Query device properties](./supported_plugins/config_properties.md) article.
 
-### Step 3. Create an Inference Request
+## Step 3. Create an Inference Request
 
 `ov::InferRequest` class provides methods for model inference in OpenVINO™ Runtime. Create an infer request using the following code (see [InferRequest detailed documentation](./ov_infer_request.md) for more details):
 
@@ -163,7 +156,7 @@ To learn how to change the device configuration, read the [Query device properti
 
 @endsphinxtabset
 
-### Step 4. Set Inputs
+## Step 4. Set Inputs
 
 You can use external memory to create `ov::Tensor` and use the `ov::InferRequest::set_input_tensor` method to put this tensor on the device:
 
@@ -183,7 +176,7 @@ You can use external memory to create `ov::Tensor` and use the `ov::InferRequest
 
 @endsphinxtabset
 
-### Step 5. Start Inference
+## Step 5. Start Inference
 
 OpenVINO™ Runtime supports inference in either synchronous or asynchronous mode. Using the Async API can improve application's overall frame-rate: instead of waiting for inference to complete, the app can keep working on the host while the accelerator is busy. You can use `ov::InferRequest::start_async` to start model inference in the asynchronous mode and call `ov::InferRequest::wait` to wait for the inference results:
 
@@ -205,7 +198,7 @@ OpenVINO™ Runtime supports inference in either synchronous or asynchronous mod
 
 This section demonstrates a simple pipeline. To get more information about other ways to perform inference, read the dedicated ["Run inference" section](./ov_infer_request.md).
 
-### Step 6. Process the Inference Results 
+## Step 6. Process the Inference Results 
 
 Go over the output tensors and process the inference results.
 
@@ -225,11 +218,11 @@ Go over the output tensors and process the inference results.
 
 @endsphinxtabset
 
-## Link and Build Your C++ Application with OpenVINO™ Runtime
+## Step 7. Link and Build Your Application with OpenVINO™ Runtime (example)
 
-The example uses CMake for project configuration.
+This step may differ for different projects. In this example, a C++ application is used, together with CMake for project configuration.
 
-1. **Create a structure** for the project:
+### Create a structure for the project:
    ``` sh
    project/
        ├── CMakeLists.txt  - CMake file to build
@@ -240,25 +233,22 @@ The example uses CMake for project configuration.
        ...      
    ```
 
-2. **Include OpenVINO™ Runtime libraries** in `project/CMakeLists.txt`
+### Include OpenVINO™ Runtime libraries in `project/CMakeLists.txt`
 
    @snippet snippets/CMakeLists.txt cmake:integration_example
 
 To build your project using CMake with the default build tools currently available on your machine, execute the following commands:
 
-> **NOTE**: Make sure you set environment variables first by running `<INSTALL_DIR>/setupvars.sh` (or `setupvars.bat` for Windows). Otherwise the `OpenVINO_DIR` variable won't be configured properly to pass `find_package` calls.
-
 ```sh
 cd build/
 cmake ../project
 cmake --build .
 ```
+
+> **NOTE**: Make sure you set environment variables first by running `<INSTALL_DIR>/setupvars.sh` (or `setupvars.bat` for Windows). Otherwise the `OpenVINO_DIR` variable won't be configured properly to pass `find_package` calls.
+
 You can also specify additional build options (e.g. to build CMake project on Windows with a specific build tools). Please refer to the [CMake page](https://cmake.org/cmake/help/latest/manual/cmake.1.html#manual:cmake(1)) for details.
 
-## Run Your Application
-
-Congratulations, you have made your first application with OpenVINO™ toolkit, now you may run it.
-
 
 ## Additional Resources