Make quality something you can test.
Prompt engineering is the practice of designing and evaluating the instructions you give an AI model. A useful prompt makes the task, context and output requirements explicit. A useful evaluation tells you whether it works beyond a single example.
AI can help explain or draft analysis code, but you still need to validate the data, transformations and outputs yourself. The mmm tools, code and platforms learning path connects this idea to the assumptions, practical checks and next steps.
Work through the marketing mix modeling python guide to check how the method behaves before applying it.
To work through the connected decisions, read Meridian geo data: audit the panel before fitting and Meridian ROI priors: translate experiments carefully.