Steadfast vs Intelligence Catalog

Bring the world of the Bible to life. Steadfast: Bible Atlas helps you explore the people, places, kingdoms, and events of Scripture through interactive maps, historical timelines, and geographical context. Whether you're reading through the Bible, preparing for a Bible study, or simply curious about biblical history, this app makes it easy to understand where and when events took place. Features include: • Interactive biblical maps • Historical timelines from Genesis through the New Testament • Ancient kingdoms and empires • Important cities, regions, mountains, rivers, and seas • Archaeological sites and historical context • Journeys of key biblical figures • Clean and intuitive navigation • Offline access to downloaded content Steadfast: Bible Atlas is designed for students, teachers, pastors, Bible study groups, and anyone who wants to better understand the historical setting of Scripture. Our goal is simple. Help people see the Bible in its historical and geographical context so they can better understand the story God has revealed throughout history. New features, maps, and historical content will continue to be added through future updates.

Intelligence Catalog is an interactive knowledge base and playground for on-device AI. Pick a model, read how it works, run it for real, and inspect the result — all processed entirely on your device, nothing sent to a server. Explore 10 real Apple Core ML models (image classification, object detection, semantic segmentation, depth estimation, drawing classification), 19 Vision-native tasks built into iOS (text recognition, face detection, body/hand pose, and more), Apple Intelligence's on-device Foundation Models, and Natural Language's on-device NLP models — 36 tasks in total. Every demo follows the same flow: Input → Run → Result → Confidence → Processing Time → Explanation, so you can see exactly how each model reasons, not just what it outputs. Browse by category, search, and favorite the ones you want to come back to. Built for iOS developers, ML engineers, students, and anyone curious what their iPhone, iPad, or Mac can actually do on-device.