1. Start small, scale quickly - test on single projects, then continuously expand
2. Test and learn – run manual coding in parallel to fully understand how the AI works and where potential strengths and weaknesses are and adjust were needed
3. Push the limits – collaborate/engage in conversations with your software provider to improve capabilities with the tool and optimize your workflow, e.g., integrate R workflows with Caplena via their API
4. Shift from spending time on coding to spending time on insights generation and use the capabilites of the tool to better explore the data and extract relevant insights.