All Clear · Independent product

Knowledge governance so people and AI can trust the content.

An independent product for teams that need trusted, AI-ready knowledge — built around permissions, data classification, source traceability, and lifecycle controls.

Working prototype · in active development

From the prototype — Next.js, TypeScript, Tailwind, Supabase · sample data

All Clear dashboard: headline counts, recent activity, and approvals and knowledge-health rings — The operator’s view — what needs attention, and how healthy the knowledge base is.

All Clear knowledge library: a filterable list of governed artifacts — Every artifact accounted for, with the signals that make it trustworthy.

All Clear approvals queue: items waiting for review, grouped by state — A review queue so nothing gets published without a human decision.

The challenge

AI-enabled knowledge work is only as good as its source material. Content that is inaccurate, over-shared, undated, or unowned produces a confident wrong answer — worse than no answer at all. The product needed a trust layer for the people reading the content and the systems retrieving it.

The approach

Treat trust as a first-class property of every piece of knowledge, made legible to both people and AI before the information is used. How that is modeled and enforced is the part I would rather walk through than write down.

What I built

A full product definition — data model, roles, workflows, and governance rules — from requirements through testable acceptance criteria.
A working prototype that demonstrates the model end to end, built in Next.js, TypeScript, Tailwind, and Supabase.
The security and vendor-readiness thinking to take it from prototype toward a real pilot.

Outcome

Trust treated as a property of every artifact, not an afterthought

Outcome

A governance-first architecture, not a wiki with search bolted on

Outcome

A model a team can adopt incrementally rather than all at once

AI governanceKnowledge systemsProduct definitionNext.js / Supabase

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