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.
Both reported the same three months. Four places where putting GE Vernova and Siemens Energy side by side produces a wrong answer, and what the filings actually support.
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.
Palantir describes the Ontology in its filings but never prices it. Here is which disclosed metrics actually move, sorted by tier of disclosure.
Micron vs SK Hynix HBM stocks, compared side by side: supply position, the mid-2026 selloff, US access routes, and where the risk actually lives.
Super Micro vs Dell AI server stocks, compared side by side: GPU rack exposure, margin structure, supply chain risk, and what each signals for your portfolio.
Oklo and NuScale are the two most-traded SMR pure plays in the US. Here is how they differ and what each must prove to justify its valuation.
Data center electricity demand is reshaping how investors price utility stocks. Here is how one Korean ajussi thinks through the opportunity.
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.
