WIP.

docs/core-concepts/Pipeline.md

@@ -38,6 +38,18 @@ Each input creates its own run, flowing through all stages of the pipeline. Mult
 
 ## Creating a Pipeline
 
+There are 2 ways to create a pipeline in crewAI: using the CLI and manually.
+
+The CLI approach will generate a working pipeline consisting of 2 crews in the crewAI . If you choose to go the manual route, you will need to create the agents, tasks, and crews yourself.
+
+We recommend using the CLI approach for its simplicity and ease of use, but we'll cover both approaches.
+
+### Using the CLI
+
+### Manual Method
+
+# TODO: UPDATE TO TALK ABOUT BOTH CLI & MANUAL METHOD
+
 When creating a pipeline, you define a series of stages, each consisting of either a single crew or a list of crews for parallel execution. The pipeline ensures that each stage is executed in order, with the output of one stage feeding into the next.
 
 ### Example: Assembling a Pipeline
@@ -45,6 +57,8 @@ When creating a pipeline, you define a series of stages, each consisting of eith
 ```python
 from crewai import Crew, Agent, Task, Pipeline
 
+# Define your agents and tasks here...
+
 # Define your crews
 research_crew = Crew(
     agents=[researcher],
@@ -72,6 +86,8 @@ my_pipeline = Pipeline(
 
 ## Pipeline Methods
 
+# TODO: DROP PROCESS_RUNS AND UPDATE TO KICKOFF
+
 | Method           | Description                                                                                                                                                                    |
 | :--------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
 | **process_runs** | Executes the pipeline, processing all stages and returning the results. This method initiates one or more runs through the pipeline, handling the flow of data between stages. |