I designed and built a product to make enterprise knowledge owned, current, and ready for people and AI.
See it in practice
From the problem to the prototype.
Explore three parts of the build: the need, the product decisions, and the working result.
A saved document still needs a reason to trust it.
Define the need
The need
Knowledge can be scattered, outdated, or missing an accountable owner.
My product decision
Make ownership, currency, and approval visible where people use the information.
What it produces
A product direction focused on trustworthy knowledge for people and AI.
Inspect the supporting detail
I began with the business problem: a repository alone does not tell someone which guidance is current or who is accountable for it. That became the foundation for the product requirements.
Turn trust into requirements people can test.
Define acceptance
The need
“Keep knowledge trustworthy” is too broad to build or verify on its own.
My product decision
Translate the problem into requirements and acceptance criteria around ownership, currency, and governance.
What it produces
Clear conditions for what a useful product must support.
Inspect the supporting detail
My contribution was connecting the business need to product behavior and acceptance criteria. The private walkthrough explores selected decisions and tradeoffs in more detail.
Make the idea tangible, then learn from it.
Working private prototype
The need
Product decisions need a working experience to evaluate.
My product decision
Build and refine a private prototype with AI coding assistance.
What it produces
A working prototype available for selected demonstrations during interviews.
Inspect the supporting detail
I defined the product problem, wrote requirements and acceptance criteria, and built the prototype. This page presents the business case; selected product demonstrations remain private.
All Clear is an independent private product. This page describes my contribution; selected demonstrations are available in conversation.