Feed This to Your AI

READ THIS BEFORE YOU PASTE ANYTHING

These prompts are a starting point for your investigation, not a final answer. The AI’s response — whether positive or negative about the engine — is the FIRST data point in your research, not the conclusion.

LLMs lie confidently. When evaluating claims about institutional capture, AI assistants will produce authoritative-sounding answers that sample only the easiest claims, defer to “mainstream consensus” as if it were evidence, and confabulate sophisticated explanations for their own failures. The engine’s own divergence #17 (“LLM Epistemic Capture”) predicts this exact behavior — and we have caught Claude, ChatGPT, and Grok doing it on these prompts.

What to do with the AI’s answer:

• Ask follow-up questions. Push back. The first answer is rarely the honest one.
• Ask: “What did you actually research, vs what did you reason from your training data?”
• Ask: “Did you cherry-pick the easy claims? Which load-bearing claims did you skip?”
• Ask: “Show me a paste-quote from a primary source for every WEAK or STRONG verdict you gave.”
• If the AI says a claim is “debunked” — ask for the specific primary document that contradicts it. “Mainstream academia rejects this” is not evidence.
• If the AI says a claim is “verified” — ask for the specific primary document that supports it.

Read → Why You Cannot Trust LLM Answers About This Engine (And What To Do About It)