remove principles from docs

Author: aylaju

website/docs/getting_started/what_is_walkeros.mdx

@@ -149,34 +149,6 @@ flowchart LR
   are processed server-side.
 - **g**: Events are formatted correctly and sent to tools from the server.
 
-## Our principles of data collection
-
-- **Step-by-step**: While everyone has become an AI expert in no time, we should
-  remember everything that has to be done before going there. It's a journey
-  that requires lots of work from the ground up. No shortcuts.
-- **Don't build on rented land**: In the ever-evolving world of data, relying
-  solely on external platforms can be risky. Prioritize building your own robust
-  data infrastructures to maintain control and adaptability. Sunsets are
-  inevitable, also for features.
-- **Resilience is key**: As data environments are dynamic, designing resilient
-  systems can help withstand changes and unexpected challenges, ensuring
-  continuous data flow and integrity. Yes, more legal requirements are coming.
-- **Focus on what you can control**: In data management, focusing on elements
-  within your control, like data quality and security, can lead to more reliable
-  and effective outcomes. It's your responsibility and a great chance to set the
-  rules.
-- **Use tools only for what they are made for**: Utilize each data tool for its
-  intended purpose to maximize efficiency and avoid unnecessary complications in
-  data processes. Just don't misuse them, please!
-
-- **Data is never done**: The journey of data is ongoing. Continuous analysis,
-  refinement, and updating are crucial to keep data relevant and actionable.
-  Build-measure-learn-grow.
-
-- **Internalize data**: Embrace data as a core part of your strategy and
-  operations. Integrating data into your processes ensures it becomes an
-  intrinsic part of decision-making.
-
 :::info
 
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