In this episode, we explore two powerful pre-run validation tools in Cosmic Frog: the Model Assistant and the Integrity Checker. Instead of running your entire model, waiting for results, and then diagnosing issues, you can catch data errors in just minutes before hitting "run." The Model Assistant flags missing essential information—like un-geocoded locations or absent production policies—while the Integrity Checker goes deeper, identifying numeric issues, unit of measure mismatches, master data references that don't exist, and data type conflicts.

But it doesn't stop there. You'll see a live demonstration of both tools in action, catching common errors like mismatched column orders during imports, negative values in quantity fields, and product names that don't exist in master tables. These checks are especially valuable for large, complex models where run times can be lengthy. With the Model Assistant and Integrity Checker, modelers can validate their data quickly, fix errors on the spot, and move confidently into scenario building without wasting time on preventable model failures.

Before starting this chapter, please take the ninth part of this course.

We are excited for you to start using our product, and look forward to helping you take your first step on that journey.