Chris Smith is a longtime engineering leader who has been in the trenches of building with AI & machine learning for years. This is a short, bonus episode to go along with our main conversation: https://pod.fo/e/20a5ef — Topics discussed: (00:00) AI tooling allows for cost-effective testing. (06:02) Scoring and statistical measures to track progress. (09:22) Costs if model needs rebuilding or hyperparameter tuning (11:31) Order of magnitude investment estimates (15:10) Decide upfront when to cut bait. (17:12) Investment essentials for meaningful results and outcomes. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit blog.makethingsthatmatter.com