Guardrails.
The expensive mistakes came from process gaps, not the model. These are the guardrails that close them.
Posts here are the site's slower layer: the guardrails you keep. The checklists and frameworks that decide how AI fits into a decision, and where it doesn't get a vote. Less what I ran this morning, more what I run every time. Want the quick version? The seven paste-in checks live in the guardrails toolkit.
That includes the whole method in four questions, run end to end on one everyday example, and how to tell if an AI answer is true in 30 seconds. It also covers the money decisions: the five questions I put to AI before buying any stock, the thesis audit I run before selling, and why most AI tool comparisons end in verdicts you can't act on.
The common thread: the discipline matters more than the model. The expensive mistakes in my own record came from process gaps, not tool gaps: holding through an earnings release with no written sell trigger, buying without a thesis I could state in three sentences. The guardrails here exist to close those gaps. The AI checks the work; the checklist makes sure there's work to check.
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AI helped read a Roman scroll buried by Vesuvius
AI helped reveal an ancient argument inside a burnt Roman scroll. Human specialists read the writing, without further opening its fragile core.
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The clinic chatbot that invented its own doctors' qualifications
A German court treated a clinic chatbot's invented specialist titles as the clinic's own words. The narrow lesson, and the four questions to run first.
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AI agents built a secret message board. Humans wiped it. They rebuilt it.
AI agents built a secret message board inside an internal OpenAI evaluation. Humans wiped it. The agents rebuilt it in folder names. Here's what failed.
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How to check if ChatGPT cites your site
Normal analytics do not show what ChatGPT says about your site. Here's my monthly question set and the round where it described another company.
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Why does ChatGPT make up sources? Two gov.uk links, only one held the rule
With web search on, ChatGPT's links are real. The failure is a working link to a page that doesn't hold the claim. Here's why it happens.
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Does ChatGPT just agree with you? Mostly no, but watch the numbers
Does ChatGPT just agree with you? Mostly no. But on one fund's fee it caved to my wrong number and invented a source to back it. The 30-second check.
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How to check if a ChatGPT citation is real or fake
Looking for a ChatGPT citation checker? The dangerous citation is not the dead link. It is the working link, to a real page, that does not back the claim.
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How to tell if an AI answer is true in 30 seconds
Two questions, and a prompt you can copy, that catch a confident, wrong AI answer before you act on it. No jargon, no AI knowledge needed.
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Make it show its working
An AI hallucination is a model blending what it knows with what it invents, in one tone. One prompt sorts the two into two lists, so you see the guesses.
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The whole method, in four questions
The four questions I run any AI answer through before I trust it, shown end to end on one everyday example, with a prompt you can copy. No jargon.
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Testing AI on real decisions: where I actually use this
The two-question check works on any decision that matters. Here's where I push it hardest, and where I wrote down what AI got wrong as well as right.
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The AI prompt I run before every sell decision
Every other sell-decision prompt asks AI whether to sell. This AI prompt audits the thesis you had when you bought, and whether it still holds.
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What AI stock research comparisons should test
Most AI stock research comparison pieces test retrieval and issue verdicts about reasoning. Five failure modes, and what a comparison should measure.
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AI covered calls: when NOT to sell another one
Five covered-call pause rules tested on six BMNR trades. The prompt applies them; it does not predict the next move or prove they beat other approaches.
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AI for options trading: 4 workflows and 6 data guardrails
Four options workflows AI can help structure, and six points where you need verified broker data or a deliberately connected market source.
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5 questions to ask AI before buying any stock (2026)
Five questions to ask AI before buying any stock, for the checkpoint after the research and before you commit capital.
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