Decision Process.
Posts here are the checklists, frameworks, and discipline behind making investment decisions with AI in the loop.
Posts here are the slower layer of the site — the checklists and frameworks that decide how AI fits into an investing decision, and where it doesn't get a vote. Less what I ran this morning, more what I run every time.
That includes the five questions I put to AI before buying any stock, the thesis audit I run before every sell decision, an honest map of what AI gets right and wrong about options trading, 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 frameworks here exist to close those gaps. The AI checks the work; the checklist makes sure there's work to check.
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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 separate 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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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 every AI stock research comparison gets wrong
Most AI stock research comparison pieces test retrieval and issue verdicts about reasoning. Five failure modes — and what a comparison should measure instead.
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Limitations of AI for options trading: tested on real trades
The limits of AI for options trading, from my own real trades: four places it helps, six where it makes up numbers it cannot actually see.
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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 hour before you commit capital, when the research is done and the decision is about to be made.
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