Visual Field Guide

How honest AI tooling works, in one diagram each

A growing set of plain, reference-grade diagrams that explain the ideas behind RedHub's tools — the gate that overrides a good score, the two finish lines every AI output has to cross, and the deterministic stack that makes a verdict reproducible. Each one is free to share and embed with a link back.

Visual Field Guide · No. 01

Anatomy of a Gate

Every RedHub judgment tool builds a weighted score, then runs it past a gate that can only make the verdict worse — which is why a deliverable can score 89 out of 100 and still be told DO NOT SHIP. The score is context; the gate is the answer.

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Visual Field Guide · No. 02

Two Finish Lines

AI is built to reach the first finish line — it works — but real stakes need the second: it's defensible. The distance between them is the whole job, and every RedHub tool exists to carry you across that gap.

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Visual Field Guide · No. 03

The Deterministic Stack

RedHub's judgment layer isn't AI. One logic renders three ways — a runnable engine, a spreadsheet, and a live demo — verified to produce the same verdict to the byte, so the result is reproducible enough to hand an auditor. The AI drafts; the deterministic engine decides.

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