How we use AI

Discernible uses AI as a tool in parts of our process. This page explains where and how.

Experience scenarios

When we build scenarios for Discernible Experience, the constraints, learning objectives, and instructional design come from our own experience as well as publicly disclosed incidents. This is the part that determines whether a scenario will teach what we need it to.

We use AI to help develop technical details within those constraints, things like plausible system behaviors, technical artifacts, or implementation specifics that need to be accurate but aren't themselves the point of the exercise. AI doesn't design what participants practice or why, but it does help us build out the technical architecture once we've decided what it should be.

Blog post

We write our own posts and use AI as an editor for catching typos, grammar mistakes, and inconsistencies. The ideas, positions, and sourcing are our own.

What stays human

• What a scenario is designed to teach and why
• The frameworks, arguments, and positions in our writing
• Client-specific strategy and recommendations
• Anything that requires judgment about a specific organization's risk, politics, or context

Questions about how something specific was developed? You can ask us directly here.