About this tool

This app is a companion to the article Isaac Asimov Solved the AI Slop Problem For Us in 1953 by Mitchell R. Sowards. The article proposes a simple taxonomy of seven tags — from #AIFree to #AIGen — that honest authors can use to disclose how much AI contributed to their work.

The goal is plain transparency. When everyone uses AI, there is no shame in admitting how much or how little of a piece came from AI. What matters is that readers know.

This tool is not

· An AI detector
· A way to determine guilt or detect deception
· A certification or authority of any kind

This tool is

· A self-disclosure helper for honest authors
· A simple rule-based assistant that turns your inputs into a recommended tag
· Free, anonymous, and does not store anything you enter

How the analysis works

The recommendation is produced by a transparent, rule-based engine. It weaves together several kinds of evidence: (1) word-level comparisons between the text versions you provide, (2) your answers to the ten process questions, and (3) any optional notes you add. Each signal contributes to four dimension scores — concept, knowledge, structure, and composition — which are then mapped to the closest taxonomy tag.

AI-assisted semantic analysis is on by default. When it is on, one call to an LLM (Lovable AI, Gemini 3 Flash) reads your text and produces four additional origin/survival scores plus short verbatim evidence quotes. Those quotes are shown to you on the results page, and the scores blend into the four dimensions as one more weighted signal. The AI never picks the tag — that is always chosen by the rule-based engine so the reasoning stays inspectable.

For multi-step reviews, the semantic layer additionally shows a per-transition breakdown — one row of four gauges for each adjacent pair of steps in your chain, so you can see what changed at each hop. These per-transition scores are shown as evidence only; they do not change the recommended tag.

You can turn the semantic step off with the toggle on the Choose Path page. When it is off, nothing you enter leaves your browser. When it is on, your text is sent to Lovable AI for that one analysis call and is not stored or reused. Either way, no accounts, no tracking, no dataset.

Take credit where it is due. Give credit where it is due. That is how respect and trust can be earned and retained.