AI Slop Checker

Two problems, one plugin. 1. Pasted chat sessions. When someone copies an answer out of ChatGPT or Claude and drops it into the editor, the reply usually comes with its packaging: a "Certainly! Here's the article you asked for" on top, and a "Would you like me to expand on any section?" at the bottom. The pattern scanner looks for that packaging. It runs locally, costs nothing, and needs no API key. Hits near the end of a long post are weighted more heavily, because that is where the tail of a chat reply lands. 2. Facts that have moved on. A model writes confidently from training data with a cutoff date. Version numbers, prices, "the current largest", "as of 2023" — all of it can be quietly wrong by the time it publishes. The plugin pulls the most checkable sentences out of a post and runs them past a search-grounded model. Anything contested or low-confidence gets a second look from Google. Verdicts are one of: accurate, outdated, inaccurate, or unverifiable. "Outdated" is the one to care about — it means the claim used to be true, which is exactly the failure mode a knowledge cutoff produces. Choosing a fact-check provider You can use Perplexity, Gemini, or both. Both are grounded: Perplexity searches at request time by default, and the Gemini requests always attach the Google Search tool. That grounding matters more than which model you pick. An ungrounded model answers a fact-check from its own training data, which means it carries the same cutoff blind spot the plugin exists to find — it would be checking stale facts against stale facts. Running both costs twice as much but is meaningfully stronger: claims the two agree on are reported with higher confidence, and claims they split on are marked disputed so a human decides rather than the plugin guessing. What it looks at

• Dangling offers to keep working ("Would you like me to...", "Let me know if you'd like...", "3 more prompts")
• Assistant self-reference ("As an AI language model", "I don't have access to real-time data")
• Prompt echoes and delivery framing ("Certainly! Here's a draft", "As requested")
• Unfilled scaffolding ([Insert company name], "Word count: 1,450", stray SEO briefing fields)
• Raw markdown that never converted (**bold**, ## headings)
• Knowledge-cutoff language ("as of my last update", "the latest version is")
• Stock generated phrasing ("delve into", "in today's fast-paced world", "a testament to")

The last category is deliberately low-weight. Plenty of human writers say "it's important to note". On its own it proves nothing, and the scoring reflects that.

1. Upload the ai-slop-checker folder to /wp-content/plugins/.
2. Activate it.
3. Open AI Slop in the admin menu.

Pattern checking works immediately. For fact-checking, switch Check Mode to "Patterns + AI", pick a provider, and add that provider's key:

• Perplexity — key from perplexity.ai → Settings → API.
• Gemini — key from Google AI Studio. There is a free tier.

The Gemini model ID is a free-text field on purpose. Google retires and releases IDs faster than this plugin ships, so you can type a current one without waiting for an update. The separate Google Search & Fact Check section is optional and independent of Gemini. The Fact Check Tools API needs only an API key; web corroboration also needs a Programmable Search Engine ID set to search the whole web.

1.0.0

• Initial release.