Prompt Stack.
One paragraph that stops AI collapsing facts and guesses into the same confident answer.
Posts here apply the Prompt Stack, the four-stage structure I run before I trust AI with a decision that matters: SCOPE, FILTER, RISK, VERDICT. The full method, and the reasoning behind each stage, lives at /prompt-stack. These posts are the method at work on real decisions, most of them about money, where a wrong answer costs something.
The pattern in each one is the same, whatever the decision. A real one I was facing (an earnings release I held through, a covered call I was about to sell), then the exact prompt I ran, what the model returned, and where the output still needed checking. The prompts are written to be copied; square-bracket placeholders mark what you fill in.
If you're new to the method, the single prompt change is the right entry point: one paragraph that stops AI collapsing facts and inferences into the same confident answer. The rest of these posts build on that idea, one decision at a time.
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AI quality of earnings review: 4 prompts to find the real profit
Headline profit isn't always what a company earned. Four AI prompts get to the real number, an AI quality of earnings review for any earnings report.
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AI earnings call red flags: three phrases to watch for in the transcript
AI earnings call red flags: three patterns that recur across calls. Upward hedges, widening guidance, absent topics. Claude caught all three on META Q1 2026.
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Claude prompts for investing: 6 real examples
Six Claude prompts for investing, with the actual outputs each one returned on MSFT, META and NVDA, and what had to be checked before using them.
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The one AI prompt I run the morning before earnings
Most AI earnings prompts are reactive. This AI earnings pre-trade prompt runs the morning before: commit your sell, add, and hold triggers before the call.
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AI earnings call analysis: the 5 prompts I actually run
Five prompts for AI earnings call analysis that read the language the numbers miss: omissions, performative confidence, and quarter-on-quarter drift.
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The single prompt change that made AI analysis worth using
One AI prompt separates observable facts from assumptions in any stock analysis. What that changes, why it matters for investing, and how to apply it.
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7 AI prompts for covered calls (2026)
Ask AI to pick a covered-call strike and it invents one. Seven prompts that work instead, because they start from real numbers off your own broker screen.
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