AI tools I actually use, and how they earn their keep for an investor — prompt patterns, honest tool comparisons, and step-by-step guides you can copy.
I ran three of the viral Gemini stock analysis prompts and checked the key figures against primary sources. The Apple quarterlies matched; the market cap, streak counts and top screening pick did not.
Claude Code plugins vs skills: different things sharing one repository. I cloned Google’s skills repo and counted 104 skills against 16 plugins.
I tested book to skill’s install path, chapter detection and token model. Against best-case discovery its default model crosses near 5,200 tokens per chapter; against a context dump it saves at any size.
An open-source design tool that runs inside Codex. I installed the MCP bridge and read the official setup path to find out what free actually covers.
Same filing, same five prompts, same day, web search off. Claude got 8 of 8. ChatGPT got 5 of 8 — and three of its figures are not in the filing at all.
Five AI stock analysis prompts built from real published errors: an invented lead time, a $60B figure that meant two different things, and a headline that promised seven stocks and delivered five. Copy blocks included.
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