The idea
An explanation can introduce as many questions as it answers. If one unfamiliar term sends you elsewhere to look it up, it is easy to lose the thread of what you were learning.
I wanted a way to follow those questions while keeping the larger structure visible. Jacent combines a guided path with the freedom to explore the concepts along the way.
My contribution
I developed Jacent with AI assistance, shaping the concept, the learning flow, and the way users move between lessons and branches. My focus was on turning an idea about connected learning into a usable product experience.
That meant making decisions about what the interface should explain, how much information to show at once, and how a learner could explore an unfamiliar term and return to their original path.
This was an AI-assisted project. My contribution centers on product direction, iteration, and evaluating the resulting experience.
How the experience works
Enter a topic in your own words. A clarifying question can help narrow an ambiguous request.
A sequence of short modules introduces foundations before reaching the requested topic.
Unfamiliar terms open branching lessons, with a route back to the original material.
What I learned
Generating an explanation is only one part of a useful AI tool. The surrounding structure—how someone finds their next step, recognizes a gap, and returns after a detour—matters just as much.
Preparing the public demo also brought cost and reliability into the design. Loading text lessons as needed and simplifying generated extras helped focus the experience on its core purpose: learning through connected ideas.
Why it matters for business analysis and enablement
Jacent reflects the part of technical work I enjoy: understanding what someone is trying to do and making unfamiliar information easier to use. That same thinking applies when introducing a new process or helping people learn a business system.
For an AI enablement role, it is also a practical example of looking beyond the model itself. The questions are about the user’s needs, the clarity of the workflow, and whether the result helps someone take their next step.
Personal prototype; learning outcomes have not been formally measured.
Explore the product
The product’s own walkthrough shows the learning flow in more detail.