Skip to content
Justin Nixon

Product leader. Data platforms and data quality for AI systems.

Justin Nixon

I build the infrastructure that makes data trustworthy enough for AI systems and people to act on without re-checking it. Three of those builds are live below.

Verdict app showing a Reports table of seven rows with owner, folder, status chips such as Draft and Certified, a trust percentage bar, a seven day views sparkline and a schedule for each report, with an icon sidebar on the left.

Verdict

A trust platform that grades the data an AI agent acts on, and holds the agent to the same review loop as the humans.

live, password-gated, demo on request

verdict.thetruthlayer.dev
Light web page headed Learn anything, through a world you already know, with Build your own course and See the full example buttons, then a station titled How a Vaccine Trains You Safely with Beginner, Practitioner and Executive depth tabs and five frame tabs.

Overlay

A generative learning product that teaches a concept through a lens the reader picks. Built and operated solo, first commit to public launch in nine days.

live

overlay.thetruthlayer.dev
MeetingFlow app with scenario chips, playback controls at 1x, a River Delta chart of six speakers over a meeting timeline, a river detail panel comparing total and last two minute share, and a transcript column on the right.

MeetingFlow

A meeting-transcript analyzer. Three D3 lenses show who holds the floor, where attention goes and when a team’s language drifts apart, and every flag links to its evidence.

live, offline demo

meetingflow.thetruthlayer.dev
The year
Period2026-03-06 to 2026-10-04
Surfaces5
The whole year, from the record

Three headliners

  • 2026-08-05

    Trust Inspector Live v3.0: governance loop, dispute repricing, observed signals

  • 2026-09-23

    Graded for Obeying: Who Picks the Threshold Your AI Agent Acts On

  • 2026-06-26

    The commute learning system

Experience, the career page