Case Builder · AI-assisted product
Case Builder started from a recurring problem I experienced while structuring Product Design projects. After seeing the same challenge among other Product Designers, I turned it into a working product that helps organize raw notes into structured, editable case studies.
Product Designers often have the raw material for a case study—notes, decisions, research, and project context—but that information can remain fragmented, incomplete, or difficult to turn into a credible narrative.
The problem was not simply writing better copy. Users also needed to understand what information was missing, weak, or unclear before presenting the work as a finished case study.
As Founder & Product Designer, I own the product direction, problem definition, scope, priorities, UX/UI, and key product decisions.
I worked with a developer to translate product and design decisions into implementation, reviewing the resulting web experience, flows, content, and interactions.
AI helps organize and clarify the information the user already has. It is not intended to invent missing research, metrics, ownership, impact, or project facts.
Generated sections remain editable so the user—not the system—has final authority over the story.
When important information is missing, weak, or unclear, the product surfaces that uncertainty rather than filling the gap with unsupported claims.
The workflow was designed around review and correction. AI supports structure and clarity, while professional judgment remains with the user.
The product focuses on the end-to-end workflow of structuring, reviewing, and refining a case study rather than adding secondary features before they are needed.
The working product is being tested with real users, and feedback continues to inform iteration across generation quality, editing, saving, reopening, and export.
Case Builder is a working product in active testing and ongoing development. Core functionality includes structured draft generation, editable content, Complete / Weak / Missing / Unclear information states, human review, saving, archiving, reopening, and Word export.
The experience continues to evolve through feedback and iteration.
