Tutorial 1 of 8
Set up FusionWall and connect your first AI
Kyle walks through why the AI connection comes first and keeps the first run safely inside synthetic data.
FusionWall resources
Eight short, founder-led videos take you from first setup to useful protected work, then explain the controls and recovery habits that keep you in charge.
Recommended first
Create your local account, save the recovery code somewhere safe, connect the AI service you want to use, and practice once with made-up information.
Tutorial 1 of 8
Kyle walks through why the AI connection comes first and keeps the first run safely inside synthetic data.
Continue learning
Continue through the product at your own pace. Each lesson uses the same current interface, synthetic examples, visible approval boundary, and private-proof language.
Tutorial 2 · About 3 minutes
Follow one connected workflow across protected questions, selected local files, private evidence, and risk planning.
Tutorial 3 · About 3 minutes
See the protections that are always on, add rules that fit your work, test them, and turn them on when you are ready.
Tutorial 4 · About 3 minutes
Build a repeatable process that pauses when a person should decide and keeps a private record of what happened.
Tutorial 5 · About 3 minutes
Choose only the local evidence that helps, extend protection with terms from your work, and inspect the complete outbound view.
Tutorial 6 · About 3 minutes
Read the protected checkpoint, make a real decision, and follow the linked proof when you need to understand what happened.
Tutorial 7 · About 3 minutes
Create an encrypted recovery point, protect its passphrase, verify the package, and practice the restore path before an emergency.
Tutorial 8 · About 3 minutes
See the approachable daily rhythm from a private question through selected evidence, approval, a useful answer, and end-of-day proof review.
Use the tutorials well
Use made-up people, companies, account numbers, and documents while learning the protection and approval path.
Read the protected request. Detection is conservative and not perfect, so correct anything sensitive that remains visible.
Confirm the provider, model, policy decision, approval, and outcome match the work you intended to perform.
Begin with setup, then explore the rest of the product using synthetic information before bringing in confidential work.